Applied sciences

Archive of Mechanical Engineering


Archive of Mechanical Engineering | 2022 | vol. 69 | No 2

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Bridge crane is exposed to dynamic loads during its non-stationary operations (acceleration and braking). Analyzing these operations, one can determine unknown impacts on the dynamic behavior of bridge crane. These impacts are taken into consideration using selected coefficients inside the dynamic model. Dynamic modelling of a bridge crane in vertical plane is performed in the operation of the hoist mechanism. The dynamic model is obtained using data from a real bridge crane system. Two cases have been analyzed: acceleration of a load freely suspended on the rope when it is lifted and acceleration of a load during the lowering process. Physical quantities that are most important for this research are the values of stress and deformation of main girders. Size of deformation at the middle point of the main crane girder is monitored and analyzed for the above-mentioned two cases. Using the values of maximum deformation, one also obtains maximum stress values in the supporting construction of the crane.
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[1] Q. Yang, X. Li, H. Cai, Y-M. Hsu, J. Lee, C. Hung Yang, Z. Li Li, and M. Yi Li. Fault prognosis of industrial robots in dynamic working regimes: Find degradation in variations. Measurement, 173:108545, 2021. doi: 10.1016/j.measurement.2020.108545.
[2] S. Wang, Z. Ren, G. Jin, and H. Chen. Modeling and analysis of offshore crane retrofitted with cable-driven inverted tetrahedron mechanism. IEEE Access, 9:86132–86143, 2021. doi: 10.1109/access.2021.3063792.
[3] Q. Jiao, B. Li, Y. Qin, F. Wang, J. Gu, J. Wang, and C. Mi, Research on dynamic characteristics of lifting rope-breaking for the nuclear power crane. Journal of Failure Analysis and Prevention, 21:1220–1230, 2021. doi: 10.1007/s11668-021-01154-2.
[4] D. Cekus, P. Kwiatoń, and T. Geisler. The dynamic analysis of load motion during the interaction of wind pressure. Meccanica, 56:785–796, 2021. doi: 10.1007/s11012-020-01234-x.
[5] J. Yuan, C. Schwingshackl, C. Wong, and L. Salles. On an improved adaptive reduced-order model for the computation of steady-state vibrations in large-scale non-conservative systems with friction joints. Nonlinear Dynamics, 103:3283–3300, 2021. doi: 10.1007/s11071-020-05890-2.
[6] H. Zhu, J. Li, W. Tian, S. Weng, Y. Peng, Z. Zhang, and Z. Chen. An enhanced substructure-based response sensitivity method for finite element model updating of large-scale structures. Mechanical Systems and Signal Processing, 154:107359, 2021. doi: 10.1016/j.ymssp.2020.107359.
[7] I. Golvin and S. Palis. Robust control for active damping of elastic gantry crane vibrations. Mechanical Systems and Signal Processing, 121:264–278, 2019. doi: 0.1016/j.ymssp.2018.11.005.
[8] L. Sowa, W. Piekarska, T. Skrzypczak, and P. Kwiatoń. The effect of restraints type on the generated stresses in gantry crane beam. MATEC Web Conferences, 157:02046, 2018. doi: 10.1051/matecconf/201815702046.
[9] Y.A. Onur and H. Gelen. Design and deflection evaluation of a portal crane subjected to traction load. Materials Testing, 62(11):1131–1137, 2020. doi: 10.3139/120.111597.
[10] Y.A. Onur and H. Gelen. Investigation on endurance evaluation of a portal crane: experimental, theoretical and finite element analysis. Materials Testing, 62(4):357–364. 2020. doi: 10.3139/120.111491.
[11] A. Komarov, A. Grachev, A. Gabriel, and N. Mokhova. Simulation of the misalignment process of an overhead crane in Matlab/Simulink. E3S Web Conferences, 304:02008, 2021. doi: 10.1051/e3sconf/202130402008.
[12] A. Cibicik, E. Pedersen, and O. Egeland. Dynamics of luffing motion of a flexible knuckle boom crane actuated by hydraulic cylinders. Mechanism and Machine Theory, 143:103616, 2020. doi: 10.1016/j.mechmachtheory.2019.103616.
[13] D. Cekus and P. Kwiatoń. Effect of the rope system deformation on the working cycle of the mobile crane during interaction of wind pressure. Mechanism and Machine Theory, 153:104011, 2020. doi: 10.1016/j.mechmachtheory.2020.104011.
[14] D. Ostric, N. Zrnic, and A. Brkic. A modeling of bridge cranes for research of dynamic phenomena during their movement. Tehnika – Mašinstvo, 51(3-4):1–6, 1996.
[15] T. Wang, N. Tan, X. Zhang, G. Li, S. Su, J. Zhou, J. Qiu, Z, Wu, Y. Zhai, and R. Donida Labati. A time-varying sliding mode control method for distributed-mass double pendulum bridge crane with variable parameters. IEEE Access, 9:75981–75992, 2021. doi: 10.1109/access.2021.3079303.
[16] M.S. Komarov. Dynamics of load-carrying machines. Madagiz, Moscow, 1962. (in Russian).
[17] S. Dedijer. Dynamic coefficients in operation of bridge cranes of small and medium load capacity. D.Sc. Thesis, Faculty of Mechanical Engineering, Belgrade, Jugoslavia, 1970.
[18] D. Scap. Dynamic loads of the bridge crane when lifting loads. Tehnika - Strojarstvo, 24(6):307–315, 1982.
[19] H.A. Lobov. Dynamics of load-carrying cranes. Mechanical Engineering, Moscow, Russia, 1987. (in Russian).
[20] D. Ostric, A. Brkic, and N. Zrnic. The analysis of influence of swing of the cargo and rigidity of driving shafts of mechanism for moving to the dynamic behaviour of the bridge crane. Proceedings of IX IFToMM Congress, Milano, 1995.
[21] D. Ostric, A. Brkic, and N. Zrnic. The analysis of bridge cranes dynamic behaviour during the work of hoisting mechanism. Proceedings of XIV IcoMHaW, Faculty of Mechanical Engineering, Belgrade, 1996.
[22] M. Delić, M. Čolić, E. Mešić, and N. Pervan. Analytical calculation and FEM analysis main girder double girder bridge crane. TEM Journal, 6(1):48–52, 2017. doi: 10.18421/TEM61-07.
[23] M. Delić, N. Pervan, M. Čolić, and E. Mešić. Theoretical and experimental analysis of the main girder double girder bridge cranes. International Journal of Advanced and Applied Sciences, 6(4):75–80, 2019. doi: 10.21833/ijaas.2019.04.009.
[24] H. A. Hobov. Calculation of dynamic loads of bridge cranes when lifting a load. Bulletin of Mechanical Engineering, 5:37–41, 1977. (in Russian).
[25] D. Ostric, A. Brkic, and N. Zrnic. Influence of driving-shaf to dynamic behavior of the bridge crane in horizontal plane, modeled with several concentrated masses during the acceleration. FME Transactions, 2: 25–30, 1993.
[26] S.G. Kelly. Mechanical Vibrations – Theory and Applications, Global Engineering, Stamford, USA, 2012.
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Authors and Affiliations

Mirsad Čolić
Nedim Pervan
Muamer Delić
Adis J. Muminović
Senad Odžak
Vahidin Hadžiabdić

  1. Faculty of Mechanical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
  2. Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
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Different configurations of journal bearings have been extensively used in turbomachinery and power generating equipment. Three-lobe bearing is used due to its lower film temperature and stable operation. In this study, static performance of such a bearing has been investigated at different eccentricity ratios considering lubricant compressibility and variable viscosity. The effect of variable viscosity was considered by taking the viscosity as a function of the oil film thickness while Dowson model is used to consider the effect of lubricant compressibility. The effect of such parameters was considered to compute the oil film pressure, load-carrying capacity, attitude angle and oil side leakage for a bearing working at (ε from 0.6 to 0.8) and (viscosity coefficient from 0 to 1). The mathematical model as well as the computer program prepared to solve the governing equations were validated by comparing the pressure distribution obtained in the present work with that obtained by EL-Said et al. A good agreement between the results has been observed with maximum deviation of 3%. The obtained results indicate a decrease in oil film pressure and load-carrying capacity with the higher values of viscosity coefficient while the oil compressibility has a little effect on such parameters.
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[1] R. Sinhasan, M. Malik, and M. Chandra. A comparative study of some three-lobe bearing configurations. Wear, 72(3):277–286, 1981. doi: 10.1016/0043-1648(81)90254-4.
[2] K. Prabhakaran Nair, R. Sinhasan, and D.V. Singh. A study of elasto-hydrodynamic effects in a three-lobe journal bearing. Tribology International, 20(3):125–132, 1987. doi: 10.1016/0301-679X(87)90042-9.
[3] K.C. Goyal and R Sinhasan. Elastohydrodynamic studies of three-lobe journal bearings with non-Newtonian lubricants. Proceedings of the Institution of Mechanical Engineers, Part C: Mechanical Engineering Science, 205(6):379–388, 1991, doi: 10.1243/PIME_PROC_ 1991_205_135_02.
[4] N.P. Mehat and S.S. Rattan. Performance of three-lobe pressure-dam bearings. Tribology International, 26(6):435–442, 1993. doi: 10.1016/0301-679X(93)90084-E.
[5] M. Malik, R. Sinhasan, and M. Chandra. Design data for three-lobe bearings. ASLE Transactions, 24(3):345–353, 2008, doi: 10.1080/05698198108983031.
[6] N.K. Batra, Gian Bhushan, and N.P. Mehta. Effect of L/D ratio on the performance of an inverted three-lobe pressure dam bearing. Journal of Engineering and Technology, 1(2):94–99, 2011.
[7] L. Roy and S.K. Kakoty. Groove location for optimum performance of three- and four-lobe bearings using genetic algorithm. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 229(1):47–53, 2015. doi: 10.1177/1350650114541253.
[8] A. Chasalevris. Analytical evaluation of the static and dynamic characteristics of three-lobe journal bearings with finite length. Journal of Tribology, 137(4):041701, 2015. doi: 10.1115/1.4030023.
[9] A.K.H. EL-Said, B.M. EL-Souhily, W.A. Crosby, and H.A. EL-Gamal. The performance and stability of three-lobe journal bearing textured with micro protrusions. Alexandria Engineering Journal, 56(4):423–432, 2017. doi: 10.1016/j.aej.2017.08.003.
[10] D.Y. Dhande, D.W. Pande, and G.H. Lanjewar. Numerical analysis of three lobe hydrodynamic journal bearing using CFD–FSI technique based on response surface evaluation. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(393):1–16, 2018. doi: 10.1007/s40430-018-1311-5.
[11] TVVLN Rao, A.M.A. Rani, Norani M. Mohamed, H.H. Ya, M. Awang, and F.M. Hashim. Static and stability analysis of partiaslip texture multi-lobe journal bearings. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 234(4):567–587, 2019, doi: 10.1177/1350650119882834.
[12] P. Sinha, C. Singh, and K.R. Prasad. Effect of viscosity variation due to lubricant additives in journal bearings. Wear, 66(2):175–188, 1981. doi: 10.1016/0043-1648(81)90112-5.
[13] N.B. Naduvinamani and A.K. Kadadi. Effect of viscosity variation on the micropolar fluid squeeze film lubrication of a short journal bearing. Advances in Tribology, 2013:id743987, 2013. doi: 10.1155/2013/743987.
[14] J.R. Patel and G. Deheri. Viscosity variation effect on the magnetic fluid lubrication of a short bearing. Journal of the Serbian Society for Computational Mechanics, 13(2):56–66, 2019. doi: 10.24874/jsscm.2019.13.02.05.
[15] Q. Qu, H. Zhang, L. Zhou, and C. Wang. The analysis of the characteristics of infinitely short journal bearings modified by equivalent viscosity. 2010 International Conference on Measuring Technology and Mechatronics Automation, 754–757, 2010. doi: 10.1109/ICMTMA.2010.357.
[16] A. Siddangouda, T.V. Biradar, and N.B. Naduvinamani. Combined effects of surface roughness and viscosity variation due to additives on long journal bearing. Tribology – Materials, Surfaces & Interfaces, 7(1):21–35, 2013. doi: 10.1179/1751584X13Y.0000000024.
[17] L. Bertocchi, M. Giacopini, A. Strozzi, M.T. Fowell, and D. Dini. A mass-conserving complementarity formulation to study fluid film lubrication in the presence of cavitation for non-Newtonian and compressible fluids. Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis, volume 4, pages 629–635, Nantes, France, July 2–4, 2012. doi: 10.1115/ESDA2012-82885.
[18] M. Besanjideh and S.A. Gandjalikhan Nassab. Effect of lubricant compressibility on hydrodynamic behavior of finite length journal bearings. running under heavy load conditions. Journal of Mechanics, 32(1):101–111, 2016. doi: 10.1017/jmech.2015.51.
[19] N. Tipei. Theory of Lubrication: with Applications to Liquid and Gas Film Lubrication. chapter 3, Stanford University Press, 1962.
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Authors and Affiliations

Mushrek A. Mahdi
Basim Ajeel Abbas

  1. University of Babylon, College of Engineering/Al-Musayab, Automobile Engineering Department, Babylon, Iraq
  2. University of Babylon, College of Engineering, Mechanical Engineering Department, Babylon, Iraq
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Biogas, a renewable fuel, has low operational stability range in burners due to its inherent carbon-dioxide content. In cross-flow configuration, biogas is injected from a horizontal injector and air is supplied in an orthogonal direction to the fuel flow. To increase the stable operating regime, backward facing steps are used. Systematic numerical simulations of these flames are reported here. The comprehensive numerical model incorporates a chemical kinetic mechanism having 25 species and 121 elementary reactions, multicomponent diffusion, variable thermo-physical properties, and optically thin approximation based volumetric radiation model. The model is able to predict different stable flame types formed behind the step under different air and fuel flow rates, comparable to experimental predictions. Predicted flow, species, and temperature fields in the flames within the stable operating regime, revealing their anchoring positions relative to the rear face of the backward facing step, which are difficult to be measured experimentally, have been presented in detail. Resultant flow field behind a backward facing step under chemically reactive condition is compared against the flow fields under isothermal and non-reactive conditions to reveal the significant change the chemical reaction produces. Effects of step height and step location relative to the fuel injector are also presented.
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[1] D. Andriani, A. Wresta, T.D. Atmaja, and A. Saepudin. A review on optimization production and upgrading biogas through CO 2 removal using various techniques. Applied Biochemistry and Biotechnology, 172(4):1909–1928, 2014. doi: 10.1007/s12010-013-0652-x.
[2] I.U. Khan, Mohd H.D. Othman, H. Hashim, T. Matsuura, A.F. Ismail, M. Rezaei-DashtArzhandi, and I. Wan Azelee. Biogas as a renewable energy fuel – A review of biogas upgrading utilization and storage. Energy Conversion and Management, 150:277–294, 2017. doi: 10.1016/j.enconman.2017.08.035.
[3] S. Rasi, A. Veijanen, and J. Rintala. Trace compounds of biogas from different biogas production plants. Energy, 32(8):1375–1380, 2007. doi: 10.1016/
[4] E. Ryckebosh, M. Drouillon, and H. Vervaeren. Techniques for transformation of biogas to biomethane. Biomass and Bioenergy, 35(5):1633–1645, 2011. doi: 10.1016/j.biombioe.2011.02.033.
[5] R.J. Spiegel, and J.L. Preston. Test results for fuel cell operation on anaerobic digester gas. Journal of Power Sources, 86(1-2):283–288, 2000. doi: 10.1016/S0378-7753(99)00461-9.
[6] H.-C. Shin, J.-W. Park, K. Park, and H.-C. Song. Removal characteristics of trace compounds of landfill gas by activated carbon adsorption. Environmental Pollution, 119(2):227–236, 2002. doi: 10.1016/s0269-7491(01)00331-1.
[7] R.J. Spiegel and J.L. Preston. Technical assessment of fuel cell operation on anaerobic digester gas at the Yonkers, NY, wastewater treatment plant. Waste Management, 23(8):709–717, 2003. doi: 10.1016/S0956-053X(02)00165-4.
[8] A. Lock, S.K. Aggarwal, I.K. Puri, and U. Hegde. Suppression of fuel and air stream diluted methane-air partially premixed flames in normal and microgravity. Fire Safety Journal, 43(1):24–35, 2008. doi: 10.1016/j.firesaf.2007.02.004.
[9] T. Leung and I. Wierzba. The effect of hydrogen addition on biogas non-premixed jet flame stability in a co-flowing air stream. International Journal of Hydrogen Energy, 33(14):3856–3862, 2008. doi: 10.1016/j.ijhydene.2008.04.030.
[10] A.M. Briones, S.K. Aggarwal, and V. Katta. A numerical investigation of flame liftoff, stabilization, and blowout. Physics of Fluids, 18(4):043603, 2006. doi: 10.1063/1.2191851.
[11] C.-E. Lee and C.-H. Hwang. An experimental study on the flame stability of LFG and LFG-mixed fuels. Fuel, 86(5-6):649–655, 2007. doi: 10.1016/j.fuel.2006.08.033.
[12] L. Xiang, H. Chu, F. Ren, and M. Gu. Numerical analysis of the effect of CO 2 on combustion characteristics of laminar premixed methane/air flames. Journal of the Energy Institute, 92(5):1487–1501, 2019. doi: 10.1016/j.joei.2018.06.018.
[13] N. Hinton and R. Stone. Laminar burning velocity measurements of methane and carbon dioxide mixtures (biogas) over wide ranging temperatures and pressures. Fuel, 116:743–750, 2014. doi: 10.1016/j.fuel.2013.08.069.
[14] S. Jahangirian, A. Engeda, and I.S. Wichman. Thermal and chemical structure of biogas counterflow diffusion flames. Energy and Fuels, 23(11):5312–5321, 2009. doi: 10.1021/ef9002044.
[15] A. Mameri and F. Tabet. Numerical investigation of counter-flow diffusion flame of biogas-hydrogen blends: Effects of biogas composition, hydrogen enrichment and scalar dissipation rate on flame structure and emissions. International Journal of Hydrogen Energy, 41(3):2011–2022, 2016. doi: 10.1016/j.ijhydene.2015.11.035.
[16] J.I. Erete, K.J. Hughes, L. Ma, M. Fairweather, M. Pourkashanian, and A. Williams. Effect of CO 2 dilution on the structure and emissions from turbulent, non-premixed methane-air jet flames. Journal of the Energy Institute, 90(2):191–200, 2017. doi: 10.1016/j.joei.2016.02.004.
[17] M.R.J. Charest, Ö.L. Gülder, and C.P.T. Groth. Numerical and experimental study of soot formation in laminar diffusion flames burning simulated biogas fuels at elevated pressures. Combustion and Flame, 161(10):2678–2691, 2014. doi: 10.1016/j.combustflame.2014.04.012.
[18] H.M. Nicholson and J.P. Field. Some experimental techniques for the investigation of the mechanism of the flame stabilization in the wakes of bluff bodies. Symposium on Combustion and Flame, and Explosion Phenomena, 3(1):44–68, 1948. doi: 10.1016/S1062-2896(49)0008-0.
[19] G.C. Williams and C.W. Shipman. Some properties of rod-stabilized flames C homogenous gas mixtures. Symposium (International) on Combustion, 4(1):733-742, 1953. doi: 10.1016/S0082-0784(53)80096-2.
[20] G.C. Williams, P.T. Woo, and C.W. Shipman. Boundary layer effects on stability characteristics of bluff-body flame holders. Symposium (International) on Combustion, 6(1):427–438, 1957. doi: 10.1016/S0082-0784(57)80058-7.
[21] E.E. Zukoski, and F.E. Marble. Experimental concerning the mechanism of flame blowoff from bluff bodies. Proceedings of the Gas Dynamics Symposium on Aerothermochemistry, 205-210, 1956.
[22] E.E. Zukoski. Flame stabilization on bluff bodies at low and intermediate Reynolds numbers. Ph.D Thesis, California Institute of Technology, Pasadena, United States of America, 1954. doi: 10.7907/E9V0-GM76.
[23] T. Maxworthy. On the mechanism of bluff body flame stabilization at low velocities. Combustion and Flame, 6:233–244, 1962. doi: 10.1016/0010-2180(62)90101-3.
[24] S.I. Cheng and A.A. Kovitz. Theory of flame stabilization by a bluff body. Symposium (International) on Combustion, 7(1):681–691, 1958. doi: 10.1016/S0082-0784(58)80109-5.
[25] A.A. Kovitz and H.-M Fu. On bluff body flame stabilization. Applied Scientific Research, 10:315–334, 1961. doi: 10.1007/BF00411927.
[26] C.-H. Chen and J.S. T’ien. Diffusion flame stabilization at the leading edge of fuel plate. Combustion Science and Technology, 50(4-6):283–306, 1986. doi: 10.1080/00102208608923938.
[27] T. Rohmat, H. Katoh, T. Obara, T. Yoshihashi, and S. Ohyagi. Diffusion flame stabilized on a porous plate in a parallel airstream. AIAA Journal, 36(11):1945–1952, 1998. doi: 10.2514/2.300.
[28] E.D. Gopalakrishnan and V. Raghavan. Numerical investigation of laminar diffusion flames established on a horizontal flat plate in a parallel air stream. International Journal of Spray and Combustion Dynamics, 3(2):161–190, 2011. doi: 10.1260/1756-8277.3.2.161.
[29] P.K. Shijin, S. Soma Sundaram, V. Raghavan, and V. Babu. Numerical investigation of laminar cross flow non-premixed flames in the presence of a bluff-body. Combustion Theory and Modelling, 18(6):692–710, 2014. doi: 10.1080/13647830.2014.967725.
[30] P.K. Shijin, V. Raghavan, and V. Babu. Numerical investigation of flame-vortex interactions in cross flow non-premixed flames in the presence of bluff bodies. Combustion Theory and Modelling, 20(4):683–706, 2016. doi: 10.1080/13647830.2016.1168942.
[31] P.K. Shijin, A. Babu, and V. Raghavan. Experimental study of bluff body stabilized laminar reactive boundary layers. International Journal of Heat and Mass Transfer, 102:219–225, 2016. doi: 10.1016/j.ijheatmasstransfer.2016.06.028.
[32] A. Harish, H.R. Rakesh Ranga, A. Babu, and V. Raghavan. Experimental study of the flame characteristics and stability regimes of biogas-air cross flow non-premixed flames. Fuel, 223:334–343, 2018. doi: 10.1016/j.fuel.2018.03.055.
[33] R.A. Barlow, A.N. Karpetis, J.H. Frank, and J.-Y Chen. Scalar profiles and NO formation in laminar opposed-flow partially premixed methane/air flames. Combustion and Flame, 127(3):2102–2118, 2001. doi: 10.1016/S0010-2180(01)00313-3.
[34] T. Hirano and Y. Kanno. Aerodynamics and thermal structures of the laminar boundary layer over a flat plate with a diffusion flame. Symposium (International) on Combustion, 14(1):391–398, 1973. doi: 10.1016/S0082-0784(73)80038-4.
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Authors and Affiliations

Alagani Harish
Vasudevan Raghavan

  1. Indian Institute of Technology Madras, Chennai, India
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The aim of this research was to model the performances of energy and exergy on a Trombe wall system to enable an adequate thermal comfort. The main equations for the heat transfer mechanisms were developed from energy balances on subcomponents of the Trombe wall with the specification of the applicable initial and boundary conditions. During the incorporation of the PCM on the Trombe wall, the micro-encapsulation approach was adopted for better energy conservation and elimination of leakage for several cycling of the PCM. The charging and discharging of the PCM were equally accommodated and incorporated in the simulation program. The results of the study show that an enhanced energy storage could be achieved from solar radiation using PCM-augmented system to achieve thermal comfort in building envelope. In addition, the results correspond with those obtained from comparative studies of concrete-based and fired-brick augmented PCM Trombe wall systems, even though a higher insolation was used in the previous study.
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[1] I. Blasco Lucas, L. Hoesé, and D. Pontoriero. Experimental study of passive systems thermal performance. Renewable Energy, 19(1-2):39–45, 2000. doi: 10.1016/S0960-1481(99)00013-0.
[2] A. Mastrucci. Experimental and Numerical Study on Solar Walls for Energy Saving, Thermal Comfort and Sustainability of Residential Buildings. Ph.D. Thesis, University Politecnica delle Marche, Italy, 2013.
[3] A. Chel, J.K. Nayak, and G. Kaushik. Energy conservation in honey storage building using Trombe wall. Energy and Building, 40(9):1643–1650, 2008. doi: 10.1016/j.enbuild.2008.02.019.
[4] L. Zalewski, A. Joulin, S. Lassue, Y. Dutil, and D. Rousse. Experimental study of small-scale solar wall integrating phase change material. Solar Energy, 86(1):208–219, 2012. doi: 10.1016/j.solener.2011.09.026.
[5] C.M. Lai and C.M. Chiang. How phase change materials affect thermal performance: hollow bricks. Building Research & Information, 34(2):118–130, 2011. doi: 10.1080/09613210500493197.
[6] K. Sankaranarayanan, H.J. van der Kooi, and J. de Swaan Arons. Efficiency and Sustainability in the Energy and Chemical Industries. Scientific Principles and Case Studies. CRC Press, Boca Raton, 2010. doi: 10.1201/EBK1439814703.
[7] F. Kuznik and J. Virgone. Experimental assessment of a phase change material for wall building use. Applied Energy, 86(10):2038–2046, 2009. doi: 10.1016/j.apenergy.2009.01.004.
[8] D. Feldman, M.M. Shapiro, D. Banu, and C.J. Fuks. Fatty acids and their mixtures as phase-change materials for thermal energy storage. Solar Energy Materials, 18(3-4):201–216, 1989. doi: 10.1016/0165-1633(89)90054-3.
[9] W.I. Okonkwo and C.O. Akubuo. Trombe wall system for poultry brooding. International Journal of Poultry Science, 6(2):125–130, 2007. doi: 10.3923/ijps.2007.125.130.
[10] L. Cao, F. Tang, and G. Fang. Synthesis and characterization of microencapsulated paraffin with titanium dioxide shell as shape-stabilized thermal energy storage materials in buildings. Energy and Buildings, 72:31–37, 2014. doi: 10.1016/j.enbuild.2013.12.028.
[11] F. Abbassi and L. Dehmani. Experimental and numerical study on thermal performance of an unvented Trombe wall associated with internal thermal fins. Energy and Buildings, 105:119–128, 2015. doi: 10.1016/j.enbuild.2015.07.042.
[12] M.J. Huang, P.C. Eames, and N. J. Hewitt. The application of a validated numerical model to predict the energy conservation potential of using phase change materials in the fabric of a building. Solar Energy Materials and Solar Cells, 90(13):1951–1960, 2006. doi: 10.1016/j.solmat.2006.02.002.
[13] S.A. Ajah, B.O. Ezurike, and H.O. Njoku. A comparative study of energy and exergy performances of a PCM-augmented cement and fired-brick Trombe wall systems. International Journal of Ambient Energy, 1–18, 2020. doi: 10.1080/01430750.2020.1718753.
[14] H.O. Njoku, B.E. Agashi, and S.O. Onyegegbu. A numerical study to predict the energy and exergy performances of a salinity gradient solar pond with thermal extraction. Solar Energy, 157:744–761, 2017. doi: 10.1016/j.solener.2017.08.079.
[15] C. Ji, Z. Qin, S. Dubey, F.H. Choo, and F. Duan. Three-dimensional transient numerical study on latent heat thermal storage for waste heat recovery from a low temperature gas flow. Applied Energy, 205:1–12, 2017. doi: 10.1016/j.apenergy.2017.07.101.
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Authors and Affiliations

Benjamin O. Ezurike
Stephen A. Ajah
Uchenna Nwokenkwo
Chukwunenye A. Okoronkwo

  1. Department of Mechanical/Mechatronics Engineering, Alex Ekwueme Federal University Ndufu-Alike, Nigeria
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This article proposes a method for grinding coal based on the use of the energy of a pulsed shock wave resulting from a spark electric discharge in a liquid. The main purpose of the scientific work is the development of an electric pulse device for producing coal powder, the main component of coal-water fuel. The diameter of the initial coal fraction averaged 3 mm, and the size of the resulting product was 250 μm. To achieve this goal, the dependence of the length of a metal rod electrode (positive electrode) on the length and diameter of its insulation is investigated. Various variants of the shape of the base (bottom) of the device acting as a negative electrode are considered, and an effective variant based on the results of coal grinding is proposed. An experimental electric pulse installation is described, the degree of coal grinding is determined depending on the geometric parameters. The optimal characteristics of the obtained coal powder have been established.
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[1] A. Hanif, Z. Lu, and Z. Li. Utilization of fly ash cenosphere as lightweight filler in cement-based composites – A review. Construction and Building Materials, 144(30):373–384, 2017. doi: 10.1016/j.conbuildmat.2017.03.188.
[2] A. Kijo-Kleczkowska. Research on coal-water fuel combustion in a circulating fluidized bed. Archives of Mining Sciences, 57(1):79–92, 2012. doi: 10.2478/v10267-012-0006-5.
[3] R.S. Blissett and N.A. Rowson. A review of the multi-component utilisation of coal fly ash. Fuel, 97:1–23, 2012. doi: 10.1016/j.fuel.2012.03.024.
[4] M.A. Dmitrienko, A.G. Kosintsev, G.S. Nyashina, and S.Yu. Lyrshchikov. Anthropogenic emissions from combustion of coal-water slurries containing petrochemicals based on coal and oil processing wastes. Chemical and Petroleum Engineering, 54(8):57–62, 2018. doi: 10.1007/s10556-018-0439-6.
[5] A. Staroń, Z. Kowalski, P. Staroń, and M. Banach. Analysis of the useable properties of coal-water fuel modified with chemical compounds. Fuel Processing Technology, 152:183–191, 2016. doi: 10.1016/j.fuproc.2016.07.007.
[6] A. Atal and Y.A. Levendis. Observations on the combustion behavior of coal water fuels and coal water fuels impregnated with calcium magnesium acetate. Combustion and Flame, 93(1-2):61–89. 1993. doi: 10.1016/0010-2180(93)90084-G.
[7] S. Yavuzkurt and M.Y Ha. A model of the enhancement of combustion of coal-water slurry fuels using high-intensity acoustic fields. Journal of Energy Resources Technology, 113(4):268–276, 1991. doi: 10.1115/1.2905911.
[8] D.O. Glushkov, S.V. Syrodoy, A.V. Zhakharevich, and P.A. Strizhak. Ignition of promising coal-water slurry containing petrochemicals: Analysis of key aspects. Fuel Processing Technology, 148:224–235, 2016. doi: 10.1016/j.fuproc.2016.03.008.
[9] D.O. Glushkov, S.Y. Lyrshchikov, S.A. Shevyrev, and P.A. Strizhak. Burning properties of slurry based on coal and oil processing waste. Energy & Fuels, 30(4):3441–3450, 2016. doi: 10.1021/acs.energyfuels.5b02881.
[10] G.S. Khodakov. Coal-water suspensions in power engineering. Thermal Engineering, 54(1):36–47, 2007. doi: 10.1134/S0040601507010077.
[11] G.A. Núñez, M.I. Briceño, D.D. Joseph, and T. Asa. Colloidal coal in water suspensions. Energy & Environmental Science, 3(5):629–640. 2010. doi: 10.1039/B923601P.
[12] F.Boylu, H. Dinçer, and G. Ateşok. Effect of coal particle size distribution, volume fraction and rank on the rheology of coal-water slurries. Fuel Processing Technology, 85(4):241–250, 2004. doi: 10.1016/S0378-3820(03)00198-X.
[13] J. Robak, K. Ignasiak, and M. Rejdak. Coal micronization studies in vibrating mill in terms of coal water slurry (CWS) fuel preparation. Journal of Ecological Engineering, 18(2):111–118. 2017. doi: 10.12911/22998993/68214.
[14] A.R. Rizun, T.D. Denisyuk, Y.V. Golen, V.Y. Kononov, and A.N. Rachkov. Electric discharge disintegration and coal desulphurization in the manufacture of water-coal fuel. Surface Engineering and Applied Electrochemistry, 47(1):100–102. 2011. doi: 10.3103/S1068375511010170.
[15] I. Kuritnik, B.R. Nussupbekov A.K. Khassenov, D.Zh. Karabekova. Disintegration of copper ores by electric pulses. Archives of Metallurgy and Materials, 60(4):2449–2551. 2015. doi: 10.1515/amm-2015-0412.
[16] L.A. Yutkin. Electrohydraulic effect and its application in industry. Mechanical Engineering, 1986. (in Russian).
[17] B.R. Nussupbekov, A.K. Khassenov, D.Zh. Karabekova, U.B. Nussupbekov, M. Stoev, and M.M. Bolatbekova. Coal pulverization by electric pulse method for water-coal fuel. Bulletin of the University of Karaganda-Physics, 4(96):80–84, 2019. doi: 10.31489/2019Ph4/80-84.
[18] V.I. Kurets, M.A. Soloviev, A.I. Zhuchkov, and A.V. Barskaya. Electric Discharge technologies for processing and destruction of materials. Publishing house of Tomsk Polytechnic University, Tomsk, Russia 2012. (in Russian).
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Authors and Affiliations

Igor P. Kurytnik
Ayanbergen K. Khassenov
Ulan B. Nussupbekov
Dana Z. Karabekova
Bekbolat R. Nussupbekov
Madina Bolatbekova

  1. The Witold Pilecki State Higher School, Oświęcim, Poland
  2. E.A.Buketov University of Karaganda, Kazakhstan
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In recent years, manufacturing industries have demanded high-performance materials for structural components development due to their reduced weight, improved strength, corrosion, and moisture resistance. The outstanding performance of polymer nano-composites substitutes the use of conventional composites materials. This study is concerned with the machining of MWCNT and glass fiber-modified epoxy composites prepared by a cost-effective hand layup procedure. The investigations were carried out to estimate the generation of the thrust force (Th) and delamination factors at entry (DF entry) and exit (DF exit) side during the drilling of fiber composites. The effect of varying constraints on the machining indices was explored for obtaining an adequate quality of hole created in the epoxy nano-composites. The outcome shows that the feed rate (F) is the most critical factor influencing delamination at both entry and exit side, and the second one is the thrust force followed by wt. % of MWCNT. The statistical study shows that optimal combination of S (1650 Level-2), F (165 Level-2), and 2 wt. % of MWCNT (Level-2) can be used to minimize DF entry, DF exit, and Th. The drilling-induced damages were studied by means of a high-resolution microscopy test. The results reveal that the supplement of MWCNT substantially increases the machining efficiency of the developed nano-composites.
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[1] J. Du, H. Zhang, Y. Geng, W. Ming, W. He, J. Ma, Y. Cao, X. Li, and K. Liu. A review on machining of carbon fiber reinforced ceramic matrix composites. Ceramics International, 45(15):18155–18166, 2019. doi: 10.1016/j.ceramint.2019.06.112.
[2] N.R.M. Akmam, M. Mullah, and M.Z. Zakaria. Study on tool wear mechanism during milling of JFRP composite. International Journal of Science and Engineering Investigations, 9(98):20–26, 2020.
[3] D. Geng, Y. Liu, Z. Shao, Z. Lu, J. Cai, X. Li, X. Jiang, and D. Zhang. Delamination formation, evaluation and suppression during drilling of composite laminates: A review. Composite Structures, 216:168–186, 2019. doi: 10.1016/j.compstruct.2019.02.099.
[4] G. Rajaraman, S.K. Agasti, and M.P. Jenarthanan. Investigation on effect of process parameters on delamination during drilling of kenaf-banana fiber reinforced in epoxy hybrid composite using Taguchi method. Polymer Composites, 41(3):994–1002, 2020. doi: 10.1002/pc.25431.
[5] M. Ramesh and A. Gopinath. Measurement and analysis of thrust force in drilling sisal-glass fiber reinforced polymer composites. IOP Conference Series: Materials Science and Enginierring, 197:012056, 2017. doi: 0.1088/1757-899X/197/1/012056.
[6] U.H. Babu, N.V. Sai, and R.K. Sahu. Artificial intelligence system approach for optimization of drilling parameters of glass-carbon fiber/polymer composites. Silicon, 13:2943–2957, 2021. doi: 10.1007/s12633-020-00637-5.
[7] W. Li, A. Dichiara, and J. Bai. Carbon nanotube-graphene nanoplatelet hybrids as high-performance multifunctional reinforcements in epoxy composites. Composites Science and Technology, 74:221–227, 2013. doi: 10.1016/j.compscitech.2012.11.015.
[8] S.G. Ghalme, Y. Bhalerao, and K. Phapale. Analysis of factors affecting delamination in drilling GFRP composite. Journal of Computational and Applied Research in Mechanical Engineering, 10(2):281–289, 2021. doi: 10.22061/jcarme.2019.4397.1530.
[9] S. Manteghi, A. Sarwar, Z. Fawaz, R. Zdero, and H. Bougherara. Mechanical characterization of the static and fatigue compressive properties of a new glass/flax/epoxy composite material using digital image correlation, thermographic stress analysis, and conventional mechanical testing. Materials Science and Engineering: C, 99:940–950, 2019. doi: 10.1016/j.msec.2019.02.041.
[10] J. Samuel, A. Dikshit, R.E. DeVor, S.G. Kapoor, and K.J. Hsia. Effect of carbon nanotube (CNT) loading on the thermomechanical properties and the machinability of CNT-reinforced polymer composites. Journal of Manufacturing Science and Engineering, 131(3):031008, 2009. doi: 10.1115/1.3123337.
[11] A. Babu Arumugam, V. Rajamohan, N. Bandaru, E.P. Sudhagar, and S.G. Kumbhar. Vibration analysis of a carbon nanotube reinforced uniform and tapered composite beams. Archives of Acoustics, 44(2):309–320. doi: .
[12] X. Wang, Q. Zheng, S. Dong, A. Ashour, and B. Han. Interfacial characteristics of nano-engineered concrete composites. Construction and Building Matererials, 259:119803, 2020. doi: 10.1016/j.conbuildmat.2020.119803.
[13] A.K. Chakraborty, T. Plyhm, M. Barbezat, A. Necola, and G.P. Terrasi. Carbon nanotube (CNT)-epoxy nanocomposites: A systematic investigation of CNT dispersion. Journal of Nanoparticle Research, 13:6493–6506, 2011. doi: 10.1007/s11051-011-0552-3.
[14] D.K. Rathore, R.K. Prusty, D.S. Kumar, and B.C. Ray. Mechanical performance of CNT-filled glass fiber/epoxy composite in in-situ elevated temperature environments emphasizing the role of CNT content. Composites Part A: Applied Science and Manufacturing, 84:364–376, 2016. doi: 10.1016/j.compositesa.2016.02.020.
[15] L. Sun, Y. Zhao, Y. Duan , and Z. Zhang. Interlaminar shear property of modified glass fiber-reinforced polymer with different MWCNTs. Chinese Journal of Aeronautics, 21(4):361–369, 2008. doi: 10.1016/S1000-9361(08)60047-3.
[16] A. Esmaeili, C. Sbarufatti, andA.M.S. Hamouda. Investigation of mechanical properties of MWCNTs doped epoxy nanocomposites in tensile, fracture and impact tests. Materials Science Forum, 990:239–243, 2020. doi: 10.4028/
[17] A. Tabatabaeian and A.R. Ghasemi. The impact of MWCNT modification on the structural performance of polymeric composite profiles. Polymer Bulletin, 77:6563–6576, 2020. doi: 10.1007/s00289-019-03088-0.
[18] A. Gaurav and K.K. Singh. Effect of pristine MWCNTs on the fatigue life of GFRP laminates-an experimental and statistical evaluation. Composites Part B: Engineering, 172:83–96, 2019. doi: 10.1016/j.compositesb.2019.05.069.
[19] B. Shivamurthy, S. Anandhan, K.U. Bhat, and B.H.S. Thimmappa. Structure-property relationship of glass fabric/MWCNT/epoxy multi-layered laminates. Composites Communications, 22:100460, 2020. doi: 10.1016/j.coco.2020.100460.
[20] A. Uysal. Evaluation of drilling parameters on surface roughness and burr when drilling carbon black reinforced high-density polyethylene. Journal of Composite Materials, 52(20):2719–2727, 2018. doi: 10.1177/0021998317752505.
[21] F. Susac and F. Stan. Experimental investigation, modeling and optimization of circularity, cylindricity and surface roughness in drilling of PMMA using ANN and ANOVA. Materiale Plastice, 57(1):57–68, 2020. doi: 10.37358/MP.20.1.5312.
[22] P. Czarnocki and T. Zagrajek. Growth stability analysis of embedded delaminations with the use of FE node relocation procedure and effective resistance curve concept. Archive of Mechanical Engineering, 67(4):415–433, 2020. doi: 10.24425/ame.2020.131702.
[23] L. Liu, C. Qi, F. Wu, X. Zhang, and X. Zhu. Analysis of thrust force and delamination in drilling GFRP composites with candle stick drills. The International Journal of Advanced Manufacturing Technology, 95:2585–2600, 2018. doi: 10.1007/s00170-017-1369-8.
[24] M.P. Jenarthanan and R. Jeyapaul. Optimisation of machining parameters on milling of GFRP composites by desirability function analysis using Taguchi method. International Journal of Engineering, Science and Technology, 5(4):23–36. doi: 10.4314/ijest.v5i4.3.
[25] P. Raveendran and P. Marimuthu. Multi-response optimization of turning parameters for machining glass fiber-reinforced plastic composite rod. Advances in Mechanical Engineering, 7:1–10, 2015. doi: 10.1177/1687814015620109.
[26] D.I. Poór, N. Geier, C. Pereszlai, and J. Xu. A critical review of the drilling of CFRP composites: Burr formation, characterisation and challenges. Composites Part B: Engineering, 223:109155, 2021. doi: 10.1016/j.compositesb.2021.109155.
[27] R. Higuchi, S. Warabi, W. Ishibashi, and T. Okabe. Experimental and numerical investigations on push-out delamination in drilling of composite laminates. Composites Science and Technology, 198:108238, 2020. doi: 10.1016/j.compscitech.2020.108238.
[28] J. Kumar, R.K. Verma, and A.K. Mondal. Predictive modeling and machining performance optimization during drilling of polymer nanocomposites reinforced by graphene oxide/carbon fiber. Archive of Mechanical Engineering, 67(2):229–258. doi: 10.24425/ame.2020.131692.
[29] N. Hoffmann, G.S.C. Souza, A.J. Souza, and V. Tita. Delamination and hole wall roughness evaluation in air-cooled drilling of carbon fiber-reinforced polymer. Journal of Composite Materials, 55(23):3161–3174, 2021. doi: 10.1177/00219983211009281.
[30] A.T. Erturk, F. Vatansever, E. Yarar, E.A. Guven, and T. Sinmazcelik. Effects of cutting temperature and process optimization in drilling of GFRP composites. Journal of Composite Materials, 55(2):235–249, 2021. doi: 10.1177/0021998320947143.
[31] R. Pramod, S. Basavarajappa, G.B. Veeresh Kumar, and M. Chavali. Drilling induced delamination assessment of nanoparticles reinforced polymer matrix composites. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021. doi: 10.1177/09544062211030967.
[32] P.K. Kharwar, R.K. Verma, N.K. Mandal, and A.K. Mondal. Swarm intelligence integrated approach for experimental investigation in milling of multiwall carbon nanotube/polymer nanocomposites. Archive of Mechanical Engineering, 67(3):353–376, 2020. doi: 10.24425/ame.2020.131698.
[33] S. Gokulkumar, P.R. Thyla, R. ArunRamnath, and N. Karthi. Acoustical analysis and drilling process optimization of Camellia Sinensis / Ananas Comosus / GFRP / Epoxy composites by TOPSIS for indoor applications. Journal of Natural Fibers, 18(12):2284–2301. doi: 10.1080/15440478.2020.1726240.
[34] S. Liu, T. Yang, C. Liu, Y. Jin, D. Sun, and Y. Shen. Modelling and experimental validation on drilling delamination of aramid fiber reinforced plastic composites. Composite Structures, 236:111907, 2020. doi: 10.1016/j.compstruct.2020.111907.
[35] U. Bhushi, J. Suthar, and S.N. Teli. Performance analysis of metaheuristics optimization techniques for drilling process on CFRP composites. Materials Today: Proceedings, 28(2):1106–1114, 2020. doi: 10.1016/j.matpr.2020.01.091.
[36] A. Janakiraman, S. Pemmasani, S. Sheth, C. Kannan, and A.S.S. Balan. Experimental investigation and parametric optimization on hole quality assessment during drilling of CFRP/GFRP/Al stacks. Journal of The Institution of Engineers (India): Series C, 101:291–302, 2020. doi: 10.1007/s40032-020-00563-w.
[37] M. Mudhukrishnan, P. Hariharan, and K. Palanikumar. Measurement and analysis of thrust force and delamination in drilling glass fiber reinforced polypropylene composites using different drills. Measurement, 149:106973, 2020. doi: 10.1016/j.measurement.2019.106973.
[38] B.-C. Kwon, N.D.D. Mai, E.S. Cheon, and S.L. Ko. Development of a step drill for minimization of delamination and uncut in drilling carbon fiber reinforced plastics (CFRP). The International Journal of Advanced Manufacturing Technology , 106:1291–1301, 2020. doi: 10.1007/s00170-019-04423-5.
[39] T. Panneerselvam, S. Raghuraman, T.K. Kandavel, and K. Mahalingam. Evaluation and analysis of delamination during drilling on Sisal-Glass Fibres Reinforced Polymer. Measurement, 154:107462, 2020. doi: 10.1016/j.measurement.2019.107462.
[40] A. Landesmann, C.A. Seruti, and E. de Miranda Batista. Mechanical properties of glass fiber reinforced polymers members for structural applications. Materials Research, 18(6):1372–1383, 2015. doi: 10.1590/1516-1439.044615.
[41] K. Askaripour and A. Zak. A survey of scrutinizing delaminated composites via various categories of sensing apparatus. Journal of Composites Science, 3(4):95, 2019 doi: 10.3390/jcs3040095.
[42] M.R. Sanjay and B. Yogesha. Studies on natural/glass fiber reinforced polymer hybrid composites: An evolution. Materials Today: Proceedings, 4(2):2739–2747, 2017. doi: 10.1016/j.matpr.2017.02.151.
[43] M.Y. Abdellah, M.S. Alsoufi, M.K. Hassan,H.A. Ghulman, and A.F. Mohamed. Extended finite element numerical analysis of scale effect in notched glass fiber reinforced epoxy composite. Archive of Mechanical Engineering, 62(2):217–236, 2015. doi: 10.1515/meceng-2015-0013.
[44] K. Rodsin, Q. Hussain, P. Joyklad, A. Nawaz, and H. Fazliani. Seismic strengthening of nonductile bridge piers using low-cost glass fiber polymers. B Bulletin of the Polish Academy of Sciences: Technical Sciences, 68(6):1457–1470, 2020. doi: 10.24425/bpasts.2020.135383.
[45] R. Bielawski, M. Kowalik, K. Suprynowicz, R. Rządkowski,and P. Pyrzanowski. Experimental study on the riveted joints in glass fibre reinforced plastics (GFRP). Archive of Mechanical Engineering, 64(3):301–313, 2017. doi: 10.1515/meceng-2017-0018.
[46] N. Rasana, K. Jayanarayanan, B.D.S. Deeraj, and K. Joseph. The thermal degradation and dynamic mechanical properties modeling of MWCNT/glass fiber multiscale filler reinforced polypropylene composites. Composites Science and Technology, 169:249–259, 2019. doi: 10.1016/j.compscitech.2018.11.027.
[47] A.D. Dobrzańska-Danikiewicz, D. Łukowiec, D. Cichocki, and W. Wolany. Comparison of the MWCNTs-Rh and MWCNTs-Re carbon-metal nanocomposites obtained in hightemperature. Archives of Metallurgy and Materials, 60(3):2053–2060, 2015. doi: 10.1515/amm-2015-0348.
[48] Ö Demircan, K. Kadıoğlu, P. Çolak, E. Günaydın, M. Doğu, N. Topalömer, and V. Eskizeybekl. Compression after impact and Charpy impact characterizations of glass fiber/epoxy/MWCNT composites. Fibers and Polymers, 21(8):1824–1831, 2020. doi: 10.1007/s12221-020-9921-9.
[49] P.K. Kharwar and R.K. Verma. Machining performance optimization in drilling of multiwall carbon nano tube /epoxy nanocomposites using GRA-PCA hybrid approach. Measurement, 158:107701, 2020. doi: 10.1016/j.measurement.2020.107701.
[50] C.R.Raajeshkrishna, P. Chandramohan, and V.S. Saravanan. Thermomechanical characterization and morphological analysis of nano basalt reinforced epoxy nanocomposites. International Journal of Polymer Analysis and Characterization, 25(4):216–226, 2020. doi: 10.1080/1023666X.2020.1781479.
[51] K.M. Tripathi, A. Sachan, M. Castro, V. Choudhary, S.K. Sonkar, and J.F. FellerF. Green carbon nanostructured quantum resistive sensors to detect volatile biomarkers. Sustainable Materials and Technologies, 16:1–11, 2018. doi: 10.1016/j.susmat.2018.01.001.
[52] P. Rawat and K.K. Singh. A strategy for enhancing shear strength and bending strength of FRP laminate using MWCNTs. IOP Conference Series: Materials Science and Engineering, 149:012105, 2015. doi: 10.1088/1757-899X/149/1/012105.
[53] S. Yeasmin, J.H. Yeum, and S.B Yang. Fabrication and characterization of pullulan-based nanocomposites reinforced with montmorillonite and tempo cellulose nanofibril. Carbohydrate Polymers, 240:116307, 2020. doi: 10.1016/j.carbpol.2020.116307.
[54] K. Hosseinpour and A.R. Ghasemi. Agglomeration and aspect ratio effects on the long-term creep of carbon nanotubes/fiber/polymer composite cylindrical shells. Journal of Sandwich Structures & Materials, 23(4):1272–1291, 2021. doi: 10.1177/1099636219857200.
[55] A.R. Ghasemi, M. Mohandes, R. Dimitri, and F. Tornabene. Agglomeration effects on the vibrations of CNTs/fiber/polymer/metal hybrid laminates cylindrical shell. Composites Part B: Engineering, 167:700–716, 2019. doi: 10.1016/j.compositesb.2019.03.028.
[56] G.C. Onwubolu and S. Kumar. Response surface methodology-based approach to CNC drilling operations. Journal of Materials Processing Technology, 171(1):41–47, 2006. doi: 10.1016/j.jmatprotec.2005.06.064.
[57] E. Kilickap, M. Huseyinoglu, and A. Yardimeden. Optimization of drilling parameters on surface roughness in drilling of AISI 1045 using response surface methodology and genetic algorithm. The International Journal of Advanced Manufacturing Technology, 52:79–88, 2011. doi: 10.1007/s00170-010-2710-7.
[58] C.C. Tsao. Comparison between response surface methodology and radial basis function network for core-center drill in drilling composite materials. The International Journal of Advanced Manufacturing Technology, 37:1061–1068, 2008. doi: 10.1007/s00170-007-1057-1.
[59] E. Kilickap. Modeling and optimization of burr height in drilling of Al-7075 using Taguchi method and response surface methodology. The International Journal of Advanced Manufacturing Technology, 49:911–923, 2010. doi: 10.1007/s00170-009-2469-x.
[60] A. Ramaswamy and A.V. Perumal. Multi-objective optimization of drilling EDM process parameters of LM13 Al alloy–10ZrB$_2$–5TiC hybrid composite using RSM. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42:432, 2020. doi: 10.1007/s40430-020-02518-9.
[61] K.K. Panchagnula and K. Palaniyandi. Drilling on fiber reinforced polymer/nanopolymer composite laminates: A review. Journal of Materials Research and Technology, 7(2):180–189, 2018. doi: 10.1016/j.jmrt.2017.06.003.
[62] D. Kumar and K.K. Singh. An experimental investigation of surface roughness in the drilling of MWCNT doped carbon/epoxy polymeric composite material. IOP Conference Series: Materials Science and Engineering, 149:012096, 2016. doi: 10.1088/1757-899X/149/1/012096.
[63] M. Mudegowdar. Influence of cutting parameters during drilling of filled glass fabric-reinforced epoxy composites. Science and Engineering of Composite Materials, 22(1):81–88, 2013. doi: 10.1515/secm-2013-0198.
[64] Ş Bayraktar and Y. Turgut. Determination of delamination in drilling of carbon fiber reinforced carbon matrix composites/Al 6013-T651 stacks. Measurement, 154:107493, 2020. doi: 10.1016/j.measurement.2020.107493.
[65] K.M. John and T.S. Kumaran. Backup support technique towards damage-free drilling of composite materials: A review. International Journal of Lightweight Materials and Manufacture, 3(4):357–364, 2020. doi: 10.1016/j.ijlmm.2020.06.001.
[66] L.M.P. Durão, J.M.R.S. Tavares, V.H.C. De Albuquerque, J.F.S. Marques, and O.N.G. Andrade. Drilling damage in composite material. Materials, 7(5):3802–3819, 2014. doi: 10.3390/ma7053802.
[67] B.R.N. Murthy, R. Beedu, R. Bhat, N. Naik, and P. Prabakar. Delamination assessment in drilling basalt/carbon fiber reinforced epoxy composite material. Journal of Materials Research and Technology, 9(4):7427–7433, 2020. doi: 10.1016/j.jmrt.2020.05.001.
[68] S.O. Ojo, S.O. Ismail, M. Paggi, and H.N. Dhakal. A new analytical critical thrust force model for delamination analysis of laminated composites during drilling operation. Composites Part B: Engineering, 124:207–217, 2017. doi: 10.1016/j.compositesb.2017.05.039.
[69] D. Wang, F. Jiao, and X. Mao. Mechanics of thrust force on chisel edge in carbon fiber reinforced polymer (CFRP) drilling based on bending failure theory. International Journal of Mechanical Sciences, 169:105336, 2020. doi: 10.1016/j.ijmecsci.2019.105336.
[70] N. Kaushik and S. Singhal. Hybrid combination of Taguchi-GRA-PCA for optimization of wear behavior in AA6063/SiC$_{\rm p}$ matrix composite. Production & Manufacturing Research , 6(1):171–189, 2018. doi: 10.1080/21693277.2018.1479666.
[71] K. Aslantas, E. Ekici, and A. Çiçek. Optimization of process parameters for micro milling of Ti-6Al-4V alloy using Taguchi-based gray relational analysis. Measurement, 128:419–427, 2018. doi: 10.1016/j.measurement.2018.06.066.
[72] S. Ragunath, C. Velmurugan, and T. Kannan. Optimization of drilling delamination behavior of GFRP/clay nano-composites using RSM and GRA methods. Fibers and Polymers, 18:2400–2409, 2017. doi: 10.1007/s12221-017-7420-4.
[73] P.M. Gopal and K. Soorya Prakash. Minimization of cutting force, temperature and surface roughness through GRA, TOPSIS and Taguchi techniques in end milling of Mg hybrid MMC. Measurement, 116:178–192, 2018. doi: 10.1016/j.measurement.2017.11.011.
[74] S.M. Shahabaz, N. Shetty, S.D. Shetty, and S.S. Sharma. Surface roughness analysis in the drilling of carbon fiber/epoxy composite laminates using hybrid Taguchi-Response experimental design. Materials Research Express, 7(1):015322, 2020. doi: 10.1088/2053-1591/ab6198.
[75] D. Kumar, K.K. Singh, and R. Zitoune. Experimental investigation of delamination and surface roughness in the drilling of GFRP composite material with different drills. Advanced Manufacturing: Polymer & Composites Science, 2(2):47–56, 2016. doi: 10.1080/20550340.2016.1187434.
[76] K. Palanikumar. Experimental investigation and optimisation in drilling of GFRP composites. Measurement, 44(10):2138–2148, 2011. doi: 10.1016/j.measurement.2011.07.023.
[77] B. Latha and V.S. Senthilkumar. Modeling and analysis of surface roughness parameters in drilling GFRP composites using fuzzy logic. Materials and Manufacturing Processes, 25(8):817-827, 2010. doi: 10.1080/10426910903447261.
[78] F. Ficici. Evaluation of surface roughness in drilling particle-reinforced composites. Advanced Composites Letters, 29:1–11, 2020. doi: 10.1177/2633366X20937711.
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Authors and Affiliations

Kuldeep Kumar
Rajesh Kumar Verma

  1. Materials and Morphology Laboratory, Department of Mechanical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India
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The numerical solutions are obtained for rotating beams; the inclusion of centrifugal force term makes it difficult to get the analytical solutions. In this paper, we solve the free vibration problem of rotating Rayleigh beam using Chebyshev and Legendre polynomials where weak form of meshless local Petrov-Galerkin method is used. The equations which are derived for rotating beams result in stiffness matrices and the mass matrix. The orthogonal polynomials are used and results obtained with Chebyshev polynomials and Legendre polynomials are exactly the same. The results are compared with the literature and the conventional finite element method where only first seven terms of both the polynomials are considered. The first five natural frequencies and respective mode shapes are calculated. The results are accurate when compared to literature.
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[1] R. Ganguli. Finite Element Analysis of Rotating Beams. Springer, Singapore, 2017.
[2] R. Ganguli and V. Panchore. The Rotating Beam Problem in Helicopter Dynamics. Springer, Singapore, 2018.
[3] S.N. Atluri. The Meshless Method (MLPG) for Domain and BIE Discretizations. Tech Science Press, Forsyth, 2004.
[4] G.R. Liu. Meshfree Methods. CRC Press, New York, 2003.
[5] I.S. Raju, D.R. Phillips, and T. Krishnamurthy. A radial basis function approach in the meshless local Petrov-Galerkin method for Euler-Bernoulli beam problems. Computational Mechanics, 34:464–474, 2004. doi: 10.1007/s00466-004-0591-z.
[6] D. Hu, Y. Wang, Y. Li, Y. Gu and X. Han. A meshfree-based local Galerkin method with condensation of degree of freedom. Finite Elements in Analysis and Design, 78:16–24, 2014. doi: 10.1016/j.finel.2013.09.004.
[7] S. De Marchi and M.M. Cecchi. The polynomial approximation in finite element method. Journal of Computational and Applied Mathematics, 57(1-2):99–114, 1995. doi: 10.1016/0377-0427(93)E0237-G.
[8] V. Panchore, R. Ganguli, and S.N. Omkar. Meshless local Petrov-Galerkin method for rotating Euler-Bernoulli beam. Computer Modeling in Engineering and Sciences, 104(5):353–373, 2015. doi: 10.3970/cmes.2015.104.353.
[9] V. Panchore, R. Ganguli, and S.N. Omkar. Meshless local Petrov-Galerkin method for rotating Timoshenko beam: a locking-free shape function formulation. Computer Modeling in Engineering and Sciences, 108(4):215–237, 2015. doi: 10.3970/cmes.2015.108.215.
[10] W. Johnson. Helicopter Theory. Dover Publications, New York, 1980.
[11] A. Bokaian. Natural frequencies of beams under tensile axial loads. Journal of Sound and Vibration, 142(3):481–498, 1990. doi: 10.1016/0022-460X(90)90663-K.
[12] S.V. Hoa. Vibration of a rotating beam with tip mass. Journal of Sound and Vibration, 67(3):369–381, 1979. doi: 10.1016/0022-460X(79)90542-X.
[13] H.D. Hodges and M.J. Rutkowski. Free-vibration analysis of rotating beams by a variable-order finite element method. AIAA Journal, 19(11):1459–1466, 1981. doi: 10.2514/3.60082.
[14] J. Chung and H.H. Yoo. Dynamic analysis of a rotating cantilever beam by using the finite element method. Journal of Sound and Vibration, 249:147–164, 2002. doi: 10.1006/jsvi.2001.3856.
[15] R.L. Bisplinghoff, H. Ashley, and R.L. Halfman. Aeroelasticity. Dover Publications, New York, 1996.
[16] V. Giurgiutiu and R.O. Stafford. Semi-analytical methods for frequencies and mode shapes of rotor blades. Vertica, 1:291–306, 1977.
[17] J.B. Gunda and R. Ganguli. Stiff-string basis functions for vibration analysis of high speed rotating beams. Journal of Applied Mechanics, 75(2):0245021, 2008. doi: 10.1115/1.2775497.
[18] V. Panchore and R. Ganguli. Quadratic B-spline finite element method for a rotating non-uniform Rayleigh beam. Structural Engineering and Mechanics, 61(6):765–773, 2017. doi: 10.12989/sem.2017.61.6.765.
[19] V. Panchore and R. Ganguli. Quadratic B-spline finite element method for a rotating non-uniform Euler-Bernoulli beam. International Journal for Computational Methods in Engineering Science and Mechanics, 19(5):340–350, 2018. doi: 10.1080/15502287.2018.1520757.
[20] T. Rabczuk, J-H Song, X. Zhuang, and C. Anitescu. Extended Finite Element and Meshfree Methods. Elsevier, London, 2020.
[21] J.R. Xiao and M.A. McCarthy. Meshless analysis of the obstacle problem for beams by the MLPG method and subdomain variational formulations. European Journal of Mechanics – A/Solids, 22(3):385–399, 2003. doi: 10.1016/S0997-7538(03)00050-0.
[22] J.Y. Cho and S. N. Atluri. Analysis of shear flexible beams, using the meshless local Petrov-Galerkin method, based on a locking-free formulation. Engineering Computations, 18(1-2):215–240, 2001. doi: 10.1108/02644400110365888.
[23] J. Sladek, V. Sladek, S. Krahulec, and E. Pan. The MLPG analyses of large deflections of magnetoelectroelastic plates. Engineering Analysis with Boundary Elements, 37(4):673–682, 2013. doi: 10.1016/j.enganabound.2013.02.001.
[24] S.N. Atluri, J.Y. Cho, and H.-G. Kim. Analysis of thin beams, using the meshless local Petrov-Galerkin method, with generalized moving least squares interpolations. Computational Mechanics, 24:334–347, 1999. doi: 10.1007/s004660050456.
[25] J.R. Banerjee and D.R. Jackson. Free vibration of a rotating tapered Rayleigh beam: A dynamic stiffness method of solution. Computers and Structures, 124:11–20, 2013. doi: 10.1016/j.compstruc.2012.11.010.
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Authors and Affiliations

Vijay Panchore

  1. Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, India
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In this paper, an adaptive sliding mode controller (ASMC) is proposed for an electromechanical clutch position control system to apply in the automated manual transmission. Transmission systems undergo changes in parameters with respect to the wide range of driving condition, such as changing in friction coefficient of clutch disc and stiffness of diaphragm spring, hence, an adaptive robust control method is required to guarantee system stability and overcome the uncertainties and disturbances. As the majority of transmission dynamics variables cannot be measured in a cost-efficient way, a non-linear estimator based on unscented Kalman filter (UKF) is designed to estimate the state valuables of the system. Also, a non-linear dynamic model of the electromechanical actuator is presented for the automated clutch system. The model is validated with experimental test results. Numerical simulation of a reference input for clutch bearing displacement is performed in computer simulation to evaluate the performance of controller and estimator. The results demonstrate the high effectiveness of the proposed controller against the conventional sliding mode controller to track precisely the desired trajectories.
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[1] J. Horn, J. Bamberger, P. Michau, and S. Pindl. Flatness-based clutch control for automated manual transmissions. Control Engineering Practice, 11(12):1353–1359, 2003. doi: 10.1016/S0967-0661(03)00099-6.
[2] L. Glielmo, L. Iannelli, V. Vacca, and F.Vasca. Gearshift control for automated manual transmissions. IEEE/ASME Transactions on Mechatronics, 11(1):17–26, 2006. doi: 10.1109/TMECH.2005.863369.
[3] Z. Zhong, G. Kong, Z. Yu, X. Chen, X. Chen, and X. Xin. Concept evaluation of a novel gear selector for automated manual transmissions. Mechanical Systems and Signal Processing, 31:316–331, 2012. doi: 10.1016/j.ymssp.2012.02.008.
[4] Y. Zhao, Z. Liu, L. Cai, W. Yang, J. Yang, and Z. Luo. Study of control for the automated clutch of an automated manual transmission vehicle based on rapid control prototyping. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 224(4):475–487, 2010. doi: 10.1243/09544070JAUTO1245.
[5] X. Song, Z. Sun, X. Yang, and G. Zhu. Modelling, control, and hardware-in-the-loop simulation of an automated manual transmission. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 224(2):143–160, 2010. doi: 10.1243/09544070JAUTO1284.
[6] S. Lin, S. Chang, and B. Li. Improving the gearshifts events in automated manual transmission by using an electromagnetic actuator. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229(9):1548–1561, 2015. doi: 10.1177/0954406214546204.
[7] Z. Chen, B. Zhang, N. Zhang, H. Du G. Kong. Optimal preview position control for shifting actuators of automated manual transmission. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 233(2):440–452, 2019. doi: 10.1177/0954407017745981.
[8] C.Y. Tseng and C.H. Yu. Advanced shifting control of synchronizer mechanisms for clutchless automatic manual transmission in an electric vehicle. Mechanism and Machine Theory, 84:37–56, 2015. doi: 10.1016/j.mechmachtheory.2014.10.007.
[9] G. Kong, N. Zhang, and B. Zhang. Novel hybrid optimal algorithm development for DC motor of automated manual transmission. International Journal of Automotive Technology, 17(1):135–143, 2016. doi: 10.1007/s12239-016-0013-1.
[10] J. Oh, J. Kim, and S. Choi. Robust feedback tracking controller design for self-energizing clutch actuator of automated manual transmission. SAE International Journal of Passenger Cars-Mechanical Systems, 6(3):1510-1517, 2013. doi: 10.4271/2013-01-2587.
[11] A. Bagheri, S. Azadi, and A. Soltani. A combined use of adaptive sliding mode control and unscented Kalman filter estimator to improve vehicle yaw stability. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 231(2):388–401, 2017. doi: 10.1177/1464419316673960.
[12] B. Gao, Y. Lei, A. Ge, H. Chen, and K. Sanada. Observer-based clutch disengagement control during gear shift process of automated manual transmission. Vehicle System Dynamics, 49(5):685–701, 2011. doi: 10.1080/00423111003681354.
[13] R. Temporelli, M. Boisvert, P. Micheau. Control of an electromechanical clutch actuator using a dual sliding mode controller: Theory and experimental investigations, IEEE/ASME Transactions on Mechatronics, 24(4):1674–1685, 2019. doi: 10.1109/TMECH.2019.2919673.
[14] S.A. Haggag, Sliding mode adaptive PID control of an automotive clutch-by-wire actuator. SAE International Journal of Passenger Cars-Mechanical Systems, 9(1):424–433, 2016. doi: 10.4271/2016-01-9106.
[15] J. Park and S. Choi. Optimization method of reference slip speed in clutch slip engagement in vehicle powertrain. International Journal of Automotive Technology, 22:55–67, 2021. doi: 10.1007/s12239-021-0007-5.
[16] Z. Sun, B. Gao, J. Jin, and K. Sanada. Modelling, analysis and simulation of a novel automated manual transmission with gearshift assistant mechanism. International Journal of Automotive Technology, 20:885–895, 2019. doi: 10.1007/s12239-019-0082-z.
[17] G. Xia, J. Chen, X. Tang, L. Zhao, and B. Sun. Shift quality optimization control of power shift transmission based on particle swarm optimization–genetic algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 236(5)872–892, 2022. doi: 10.1007/s12239-019-0082-z.
[18] M. Sharifzadeh, M. Pisaturo, and A. Senatore. Real-time identification of dry-clutch frictional torque in automated transmissions at launch condition. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(2-3):586–598, 2020. doi: 10.1177/0954407019857268.
[19] X. Zhu, H. Zhang, J. Xi, J. Wang, and Z. Fang. Robust speed synchronization control for clutchless automated manual transmission systems in electric vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 229(4):424–436, 2015. doi: 10.1177/0954407014546431.
[20] H. Ren, S. Chen, T. Shim, and Z. Wu. Effective assessment of tyre–road friction coefficient using a hybrid estimator. Vehicle System Dynamics, 52(8):1047–1065, 2014. doi: 10.1080/00423114.2014.918629.
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Authors and Affiliations

Abbas Soltani
Milad Arianfard
Reza Nakhaie Jazar

  1. Buin Zahra Higher Education Centre of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran
  2. Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
  3. School of Mechanical and Automotive Engineering, RMIT University, Melbourne, Australia

Instructions for authors

About the Journal
Archive of Mechanical Engineering is an international journal publishing works of wide significance, originality and relevance in most branches of mechanical engineering. The journal is peer-reviewed and is published both in electronic and printed form. Archive of Mechanical Engineering publishes original papers which have not been previously published in other journal, and are not being prepared for publication elsewhere. The publisher will not be held legally responsible should there be any claims for compensation. The journal accepts papers in English.

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Outline of procedures
  • To ensure that high scientific standards are met, the editorial office of Archive of Mechanical Engineering implements anti-ghost writing and guest authorship policy. Ghostwriting and guest authorship are indication of scientific dishonesty and all cases will be exposed: editorial office will inform adequate institutions (employers, scientific societies, scientific editors associations, etc.).
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References should be numbered and listed in the order that they appear in the text. References indicated by numerals in square brackets should complete the paper in the following style:

[1] R.O. Author. Title of the Book in Italics. Publisher, City, 2018.

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[2] D.F. Author, B.D. Second Author, and P.C. Third Author. Title of the article. Full Name of the Journal in Italics, 52(4):89–96, 2017. doi: 1234565/3554. (where means: 52 – volume; 4 – number or issue; 89–96 – pages, and 1234565/3554 – doi number (if exists).)

[3] W. Author. Title of the thesis. Ph.D. Thesis, University, City, Country, 2010.

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[4] H. Author. Title of the paper. In Proc. Conference Name in Italics, pages 001–005, Conference Place, 10-15 Jan. 2015. doi: 98765432/7654vd.

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The Editorial Board of the Archive of Mechanical Engineering (AME) sincerely expresses gratitude to the following individuals who devoted their time to review papers submitted to the journal. Particularly, we express our gratitude to those who reviewed papers several times.

List of reviewers in 2023

Sara I. ABDELSALAM – University of California Riverside, United States
M. ARUNA – Liwa College of Technology, United Arab Emirates
Krzysztof BADYDA – Warsaw University of Technology, Poland
Nathalie BÄSCHLIN – Kunstmuseum Bern, Germany
Joanna BIJAK – Silesian University of Technology, Gliwice, Poland
Tomas BODNAR – The Czech Academy of Sciences, Prague, Czech Republic
Dariusz BUTRYMOWICZ – Białystok University of Technology, Poland
Suleyman CAGAN – Mechanical Engineering, Mersin University, Turkey
Claudia CASAPULLA – University of Naples Federico II, Italy
Peng CHEN – Northwestern Polytechnical University, Xi’an, China
Yao CHENG – Southwest Jiaotong University, Chengdu, China
Jan de JONG – University of Twente, Netherlands
Mariusz DEJA – Gdańsk University of Technology, Poland
Jerzy EJSMONT – Gdańsk University of Technology, Poland
İsmail ESEN – Karabuk University, Turkey
Pedro Javier GAMEZ-MONTERO – Universitat Politecnica de Catalunya, Spain
Aman GARG – National Institute of Technology, Kurukshetra, India
Michał HAĆ – Warsaw University of Technology, Poland
Satoshi ISHIKAWA – Kyushu University, Japan
Jacek JACKIEWICZ – Kazimierz Wielki University, Bydgoszcz, Poland
Krzysztof JAMROZIAK – Wrocław University of Technology, Poland
Hong-Lae JANG – Changwon National University, Korea (South)
Łukasz JANKOWSKI – Institute of Fluid-Flow Machinery, PAS, Gdansk, Poland
Albizuri JOSEBA – University of the Basque Country, Spain
Łukasz KAPUSTA – Warsaw University of Technology, Poland
Dariusz KARDAŚ – Institute of Fluid-Flow Machinery, PAS, Gdansk, Poland
Panagiotis KARMIRIS-OBRATAŃSKI – AGH University of Science and Technology, Cracow, Poland
Sivakumar KARTHIKEYAN – SRM Nagar
Tarek KHELFA – Hunan University of Humanities Science and Technology, China
Sven-Joachim KIMMERLE – Universität der Bundeswehr München, Germany
Thomas KLETSCHKOWSKI – HAW Hamburg, Germany
Piotr KLONOWICZ – Institute of Fluid-Flow Machinery, PAS, Gdansk, Poland
Vladis KOSSE – Queensland University of Technology, Australia
Mariusz KOSTRZEWSKI – Warsaw University of Technology, Poland
Maria KOTELKO – Lodz University of Technology, Poland
Michał KOWALIK – Warsaw University of Technology, Poland
Zbigniew KRZEMIANOWSKI – Institute of Fluid-Flow Machinery, Gdańsk, Poland
Slawomir KUBACKI – Warsaw University of Technology, Poland
Mieczysław KUCZMA – Poznan University of Technology, Poland
Waldemar KUCZYŃSKI – The Koszalin University of Technology, Poland
Rafał KUDELSKI – AGH University of Science and Technology, Cracow, Poland
Rajesh KUMAR – Sant Longowal Institute of Engineering and Technology, India
Mustafa KUNTOĞLU – Selcuk University, Turkey
Anna LEE – Pohang University of Science and Technology, South Korea, Korea (South)
Guolong LI – Chongqing University, China
Luxian LI – Xi'an Jiaotong University, China
Yingchao LI – Ludong University, Yantai, China
Xiaochuan LIN – Nanjing Tech University, China
Zhihong LIN – HuaQiao University, China
Yakun LIU – Massachusetts Institute of Technology, United States
Jinjun LU – Northwest University, Xiʼan, China
Paweł MACIĄG – Warsaw University of Technology, Poland
Paweł MALCZYK – Warsaw University of Technology, Poland
Emil MANOACH – Bulgarian Academy of Sciences, Sofia, Bulgaria
Mihaela MARIN – “Dunărea de Jos” University of Galati, Romania
Miloš MATEJIĆ – University of Kragujevac, Serbia
Krzysztof MIANOWSKI – Warsaw University of Technology, Poland
Tran MINH TU – Hanoi University of Civil Engineering, Viet Nam
Farhad Sadegh MOGHANLOU – University of Mohaghegh Ardabili, Ardabil, Iran
Mohsen MOTAMEDI – University of Isfahan, Iran
Adis MUMINOVIC – University of Sarajevo, Bosnia and Herzegovina
Mohamed NASR – National Research Centre, Giza, Egypt
Huu-That NGUYEN – Nha Trang University, Viet Nam
Tan-Luy NGUYEN – Ho Chi Minh City University of Technology, Viet Nam
Viorel PALEU – Gheorghe Asachi Technical University of Iasi, Romania
Nicolae PANC – Technical University of Cluj-Napoca, Romania
Marcin PĘKAL – Warsaw University of Technology, Poland
Van Vinh PHAM – Le Quy Don Technical University, Hanoi, Viet Nam
Vaclav PISTEK – Brno University of Technology, Czech Republic
Paweł PYRZANOWSKI – Warsaw University of Technology, Poland
Lei QIN – Beijing Information Science & Technology University, China
Milan RACKOV – University of Novi Sad, Serbia
Yuriy ROMASEVYCH – National University of Life and Environmental Sciences of Ukraine, Kiev, Ukraine
Artur RUSOWICZ – Warsaw University of Technology, Poland
Andrzej SACHAJDAK – Silesian University of Technology, Gliwice, Poland
Mirosław SEREDYŃSKI – Warsaw University of Technology, Poland
Maciej SUŁOWICZ – Cracow University of Technology, Poland
Biswajit SWAIN – National Institute of Technology, Rourkela, India
Tadeusz SZYMCZAK – Motor Transport Institute, Warsaw, Poland
Reza TAHERDANGKOO – Institute of Geotechnics, Freiberg, Germany
Rulong TAN – Chongqing University of Technology, China
Daniel TOBOŁA – Łukasiewicz Research Network - Cracow Institute of Technology, Poland
Milan TRIFUNOVIĆ – University of Niš, Serbia
Duong VU – Duy Tan University, Viet Nam
Shaoke WAN – Xi’an Jiaotong University, China
Dong WEI – Northwest A&F University, Yangling , China
Marek WOJTYRA – Warsaw University of Technology, Poland
Mateusz WRZOCHAL – Kielce University of Technology, Poland
Hugo YAÑEZ-BADILLO – TecNM: Tecnológico de Estudios Superiores de Tianguistenco, Mexico
Guichao YANG – Nanjing Tech University, China
Xiao YANG – Chongqing Technology and Business University, China
Yusuf Furkan YAPAN – Yildiz Technical University, Turkey
Luhe ZHANG – Chongqing University, China
Xiuli ZHANG – Shandong University of Technology, Zibo, China

List of reviewers in 2022
Isam Tareq ABDULLAH – Middle Technical University, Baghdad, Iraq
Ahmed AKBAR – University of Technology, Iraq
Nandalur AMER AHAMMAD – University of Tabuk, Saudi Arabia
Ali ARSHAD – Riga Technical University, Latvia
Ihsan A. BAQER – University of Technology, Iraq
Thomas BAR – Daimler AG, Stuttgart, Germany
Huang BIN – Zhejiang University, Zhoushan, China
Zbigniew BULIŃSKI – Silesian University of Technology, Poland
Onur ÇAVUSOGLU – Gazi University, Turkey
Ali J CHAMKHA – Duy Tan University, Da Nang , Vietnam
Dexiong CHEN – Putian University, China
Xiaoquan CHENG – Beihang University, Beijing, China
Piotr CYKLIS – Cracow University of Technology, Poland
Agnieszka DĄBSKA – Warsaw University of Technology, Poland
Raphael DEIMEL – Berlin University of Technology, Germany
Zhe DING – Wuhan University of Science and Technology, China
Anselmo DINIZ – University of Campinas, São Paulo, Brazil
Paweł FLASZYŃSKI – Institute of Fluid-Flow Machinery, Gdańsk, Poland
Jerzy FLOYRAN – University of Western Ontario, London, Canada
Xiuli FU – University of Jinan, China
Piotr FURMAŃSKI – Warsaw University of Technology, Poland
Artur GANCZARSKI – Cracow University of Technology, Poland
Ahmad Reza GHASEMI– University of Kashan, Iran
P.M. GOPAL – Anna University, Regional Campus Coimbatore, India
Michał GUMNIAK – Poznan University of Technology, Poland
Bali GUPTA – Jaypee University of Engineering and Technology, India
Dmitriy GVOZDYAKOV – Tomsk Polytechnic University, Russia
Jianyou HAN – University of Science and Technology, Beijing, China
Tomasz HANISZEWSKI – Silesian University of Technology, Poland
Juipin HUNG – National Chin-Yi University of Technology, Taichung, Taiwan
T. JAAGADEESHA – National Institute of Technology, Calicut, India
Jacek JACKIEWICZ – Kazimierz Wielki University, Bydgoszcz, Poland
JC JI – University of Technology, Sydney, Australia
Feng JIAO – Henan Polytechnic University, Jiaozuo, China
Daria JÓŹWIAK-NIEDŹWIEDZKA – Institute of Fundamental Technological Research, Warsaw, Poland
Rongjie KANG – Tianjin University, China
Dariusz KARDAŚ – Institute of Fluid-Flow Machinery, Gdansk, Poland
Leif KARI – KTH Royal Institute of Technology, Sweden
Daria KHANUKAEVA – Gubkin Russian State University of Oil and Gas, Russia
Sven-Joachim KIMMERLE – Universität der Bundeswehr München, Germany
Yeong-Jin KING – Universiti Tunku Abdul Rahman, Malaysia
Kaushal KISHORE – Tata Steel Limited, Jamshedpur, India
Nataliya KIZILOVA – Warsaw University of Technology, Poland
Adam KLIMANEK – Silesian University of Technology, Poland
Vladis KOSSE – Queensland University of Technology, Australia
Maria KOTEŁKO – Lodz University of Technology, Poland
Roman KRÓL – Kazimierz Pulaski University of Technology and Humanities in Radom, Poland
Krzysztof KUBRYŃSKI – Airforce Institute of Technology, Warsaw, Poland
Mieczysław KUCZMA – Poznan University of Technology, Poland
Paweł KWIATOŃ – Czestochowa University of Technology, Poland
Lihui Lang – Beihang University, China
Rafał LASKOWSKI – Warsaw University of Technology, Poland
Guolong Li – Chongqing University, China
Leo Gu LI – Guangzhou University, China
Pengnan LI – Hunan University of Science and Technology, China
Nan LIANG – University of Toronto, Mississauga, Canada
Michał LIBERA – Poznan University of Technology, Poland
Wen-Yi LIN – Hungkuo Delin University of Technology, Taiwan
Wojciech LIPINSKI – Austrialian National University, Canberra, Australia
Linas LITVINAS – Vilnius University, Lithuania
Paweł MACIĄG – Warsaw University of Technology, Poland
Krishna Prasad MADASU – National Institute of Technology Raipur, Chhattisgarh, India
Trent MAKI – Amino North America Corporation, Canada
Marco MANCINI – Institut für Energieverfahrenstechnik und Brennstofftechnik, Germany
Piotr MAREK – Warsaw University of Technology, Poland
Miloš MATEJIĆ – University of Kragujevac, Serbia
Phani Kumar MEDURI – VIT-AP University, Amaravati, India
Fei MENG – University of Shanghai for Science and Technology, China
Saleh MOBAYEN – University of Zanjan, Iran
Vedran MRZLJAK – Rijeka University, Croatia
Adis MUMINOVIC – University of Sarajevo, Bosnia and Herzegovina
Mohamed Fawzy NASR – National Research Centre, Giza, Egypt
Paweł OCŁOŃ – Cracow University of Technology, Poland
Yusuf Aytaç ONUR – Zonguldak Bulent Ecevit University, Turkey
Grzegorz ORZECHOWSKI – LUT University, Lappeenranta, Finland
Halil ÖZER – Yıldız Technical University, Turkey
Muthuswamy PADMAKUMAR – Technology Centre Kennametal India Ltd., Bangalore, India
Viorel PALEU – Gheorghe Asachi Technical University of Iasi, Romania
Andrzej PANAS – Warsaw Military Academy, Poland
Carmine Maria PAPPALARDO – University of Salerno, Italy
Paweł PARULSKI – Poznan University of Technology, Poland
Antonio PICCININNI – Politecnico di Bari, Italy
Janusz PIECHNA – Warsaw University of Technology, Poland
Vaclav PISTEK – Brno University of Technology, Czech Republic
Grzegorz PRZYBYŁA – Silesian University of Technology, Poland
Paweł PYRZANOWSKI – Warsaw University of Technology, Poland
K.P. RAJURKARB – University of Nebraska-Lincoln, United States
Michał REJDAK – Institute of Chemical Processing of Coal, Zabrze, Poland
Krzysztof ROGOWSKI – Warsaw University of Technology, Poland
Juan RUBIO – University of Minas Gerais, Belo Horizonte, Brazil
Artur RUSOWICZ – Warsaw University of Technology, Poland
Wagner Figueiredo SACCO – Universidade Federal Fluminense, Petropolis, Brazil
Andrzej SACHAJDAK – Silesian University of Technology, Poland
Bikash SARKAR – NIT Meghalaya, Shillong, India
Bozidar SARLER – University of Lubljana, Slovenia
Veerendra SINGH – TATA STEEL, India
Wieńczysław STALEWSKI – Institute of Aviation, Warsaw, Poland
Cyprian SUCHOCKI – Institute of Fundamental Technological Research, Warsaw, Poland
Maciej SUŁOWICZ – Cracov University of Technology, Poland
Wojciech SUMELKA – Poznan University of Technology, Poland
Tomasz SZOLC – Institute of Fundamental Technological Research, Warsaw, Poland
Oskar SZULC – Institute of Fluid-Flow Machinery, Gdansk, Poland
Rafał ŚWIERCZ – Warsaw University of Technology, Poland
Raquel TABOADA VAZQUEZ – University of Coruña, Spain
Halit TURKMEN – Istanbul Technical University, Turkey
Daniel UGURU-OKORIE – Federal University, Oye Ekiti, Nigeria
Alper UYSAL – Yildiz Technical University, Turkey
Yeqin WANG – Syndem LLC, United States
Xiaoqiong WEN – Dalian University of Technology, China
Szymon WOJCIECHOWSKI – Poznan University of Technology, Poland
Marek WOJTYRA – Warsaw University of Technology, Poland
Guenter WOZNIAK – Technische Universität Chemnitz, Germany
Guanlun WU – Shanghai Jiao Tong University, China
Xiangyu WU – University of California at Berkeley, United States
Guang XIA – Hefei University of Technology, China
Jiawei XIANG – Wenzhou University, China
Jinyang XU – Shanghai Jiao Tong University,China
Jianwei YANG – Beijing University of Civil Engineering and Architecture, China
Xiao YANG – Chongqing Technology and Business University, China
Oguzhan YILMAZ – Gazi University, Turkey
Aznifa Mahyam ZAHARUDIN – Universiti Teknologi MARA, Shah Alam, Malaysia
Zdzislaw ZATORSKI – Polish Naval Academy, Gdynia, Poland
S.H. ZHANG – Institute of Metal Research, Chinese Academy of Sciences, China
Yu ZHANG – Shenyang Jianzhu University, China
Shun-Peng ZHU – University of Electronic Science and Technology of China, Chengdu, China
Yongsheng ZHU – Xi’an Jiaotong University, China

List of reviewers of volume 68 (2021)
Ahmad ABDALLA – Huaiyin Institute of Technology, China
Sara ABDELSALAM – University of California, Riverside, United States
Muhammad Ilman Hakimi Chua ABDULLAH – Universiti Teknikal Malaysia Melaka, Malaysia
Hafiz Malik Naqash AFZAL – University of New South Wales, Sydney, Australia
Reza ANSARI – University of Guilan, Rasht, Iran
Jeewan C. ATWAL – Indian Institute of Technology Delhi, New Delhi, India
Hadi BABAEI – Islamic Azad University, Tehran, Iran
Sakthi BALAN – K. Ramakrishnan college of Engineering, Trichy, India
Leszek BARANOWSKI – Military University of Technology, Warsaw, Poland
Elias BRASSITOS – Lebanese American University, Byblos, Lebanon
Tadeusz BURCZYŃSKI – Institute of Fundamental Technological Research, Warsaw, Poland
Nguyen Duy CHINH – Hung Yen University of Technology and Education, Hung Yen, Vietnam
Dorota CHWIEDUK – Warsaw University of Technology, Poland
Adam CISZKIEWICZ – Cracow University of Technology, Poland
Meera CS – University of Petroleum and Energy Studies, Duhradun, India
Piotr CYKLIS – Cracow University of Technology, Poland
Abanti DATTA – Indian Institute of Engineering Science and Technology, Shibpur, India
Piotr DEUSZKIEWICZ – Warsaw University of Technology, Poland
Dinesh DHANDE – AISSMS College of Engineering, Pune, India
Sufen DONG – Dalian University of Technology, China
N. Godwin Raja EBENEZER – Loyola-ICAM College of Engineering and Technology, Chennai, India
Halina EGNER – Cracow University of Technology, Poland
Fehim FINDIK – Sakarya University of Applied Sciences, Turkey
Artur GANCZARSKI – Cracow University of Technology, Poland
Peng GAO – Northeastern University, Shenyang, China
Rafał GOŁĘBSKI – Czestochowa University of Technology, Poland
Andrzej GRZEBIELEC – Warsaw University of Technology, Poland
Ngoc San HA – Curtin University, Perth, Australia
Mehmet HASKUL – University of Sirnak, Turkey
Michal HATALA – Technical University of Košice, Slovak Republic
Dewey HODGES – Georgia Institute of Technology, Atlanta, United States
Hamed HONARI – Johns Hopkins University, Baltimore, United States
Olga IWASINSKA – Warsaw University of Technology, Poland
Emmanuelle JACQUET – University of Franche-Comté, Besançon, France
Maciej JAWORSKI – Warsaw University of Technology, Poland
Xiaoling JIN – Zhejiang University, Hangzhou, China
Halil Burak KAYBAL – Amasya University, Turkey
Vladis KOSSE – Queensland University of Technology, Brisbane, Australia
Krzysztof KUBRYŃSKI – Air Force Institute of Technology, Warsaw, Poland
Waldemar KUCZYŃSKI – Koszalin University of Technology, Poland
Igor KURYTNIK – State Higher School in Oswiecim, Poland
Daniel LESNIC – University of Leeds, United Kingdom
Witold LEWANDOWSKI – Gdańsk University of Technology, Poland
Guolu LI – Hebei University of Technology, Tianjin, China
Jun LI – Xi’an Jiaotong University, China
Baiquan LIN – China University of Mining and Technology, Xuzhou, China
Dawei LIU – Yanshan University, Qinhuangdao, China
Luis Norberto LÓPEZ DE LACALLE – University of the Basque Country, Bilbao, Spain
Ming LUO – Northwestern Polytechnical University, Xi’an, China
Xin MA – Shandong University, Jinan, China
Najmuldeen Yousif MAHMOOD – University of Technology, Baghdad, Iraq
Arun Kumar MAJUMDER – Indian Institute of Technology, Kharagpur, India
Paweł MALCZYK – Warsaw University of Technology, Poland
Miloš MATEJIĆ – University of Kragujevac, Serbia
Norkhairunnisa MAZLAN – Universiti Putra Malaysia, Serdang, Malaysia
Dariusz MAZURKIEWICZ – Lublin University of Technology, Poland
Florin MINGIREANU – Romanian Space Agency, Bucharest, Romania
Vladimir MITYUSHEV – Pedagogical University of Cracow, Poland
Adis MUMINOVIC – University of Sarajevo, Bosnia and Herzegovina
Baraka Olivier MUSHAGE – Université Libre des Pays des Grands Lacs, Goma, Congo (DRC)
Tomasz MUSZYŃSKI – Gdansk University of Technology, Poland
Mohamed NASR – National Research Centre, Giza, Egypt
Driss NEHARI – University of Ain Temouchent, Algeria
Oleksii NOSKO – Bialystok University of Technology, Poland
Grzegorz NOWAK – Silesian University of Technology, Gliwice, Poland
Iwona NOWAK – Silesian University of Technology, Gliwice, Poland
Samy ORABY – Pharos University in Alexandria, Egypt
Marcin PĘKAL – Warsaw University of Technology, Poland
Bo PENG – University of Huddersfield, United Kingdom
Janusz PIECHNA – Warsaw University of Technology, Poland
Maciej PIKULIŃSKI – Warsaw University of Technology, Poland
T.V.V.L.N. RAO – The LNM Institute of Information Technology, Jaipur, India
Andrzej RUSIN – Silesian University of Technology, Gliwice, Poland
Artur RUSOWICZ – Warsaw University of Technology, Poland
Benjamin SCHLEICH – Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Jerzy SĘK – Lodz University of Technology, Poland
Reza SERAJIAN – University of California, Merced, USA
Artem SHAKLEIN – Udmurt Federal Research Center, Izhevsk, Russia
G.L. SHI – Guangxi University of Science and Technology, Liuzhou, China
Muhammad Faheem SIDDIQUI – Vrije University, Brussels, Belgium
Jarosław SMOCZEK – AGH University of Science and Technology, Cracow, Poland
Josip STJEPANDIC – PROSTEP AG, Darmstadt, Germany
Pavel A. STRIZHAK – Tomsk Polytechnic University, Russia
Vadym STUPNYTSKYY – Lviv Polytechnic National University, Ukraine
Miklós SZAKÁLL – Johannes Gutenberg-Universität Mainz, Germany
Agnieszka TOMASZEWSKA – Gdansk University of Technology, Poland
Artur TYLISZCZAK – Czestochowa University of Technology, Poland
Aneta USTRZYCKA – Institute of Fundamental Technological Research, Warsaw, Poland
Alper UYSAL – Yildiz Technical University, Turkey
Gabriel WĘCEL – Silesian University of Technology, Gliwice, Poland
Marek WĘGLOWSKI – Welding Institute, Gliwice, Poland
Frank WILL – Technische Universität Dresden, Germany
Michał WODTKE – Gdańsk University of Technology, Poland
Marek WOJTYRA – Warsaw University of Technology, Poland
Włodzimierz WRÓBLEWSKI – Silesian University of Technology, Gliwice, Poland
Hongtao WU – Nanjing University of Aeronautics and Astronautics, China
Jinyang XU – Shanghai Jiao Tong University, China
Zhiwu XU – Harbin Institute of Technology, China
Zbigniew ZAPAŁOWICZ – West Pomeranian University of Technology, Szczecin, Poland
Zdzislaw ZATORSKI – Polish Naval Academy, Gdynia, Poland
Wanming ZHAI – Southwest Jiaotong University, Chengdu, China
Xin ZHANG – Wenzhou University of Technology, China
Su ZHAO – Ningbo Institute of Materials Technology and Engineering, China

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