Details

Title

Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm

Journal title

Archive of Mechanical Engineering

Yearbook

2016

Volume

vol. 63

Numer

No 1

Authors

Keywords

multi-wall carbon nanotube ; Atomic Force Microscope ; Electrical Discharge Machining ; TOPSIS method ; fractal dimension ; regression analysis

Divisions of PAS

Nauki Techniczne

Coverage

45-71

Publisher

Polish Academy of Sciences, Committee on Machine Building

Date

2016.04.20

Type

Artykuły / Articles

Identifier

ISSN 0004-0738, e-ISSN 2300-1895

References

Senthil (2014), Parametric optimisation of EDM on Al - Cu in - situ metal matrix composites using TOPSIS method of Machining and Machinability of Materials No pp, International Journal, 16, 1. ; Prabhu (2011), AFM surface Investigation of Inconel with Multi Wall Carbon Nanotube in Electrical Discharge Machining Process using Taguchi analysis of Civil and Mechanical Engineering No pp, Archives Journal, 11, 1. ; Yoon (1995), Multiple Attribute Decision Making California, USA. ; Ganesan (2013), Optimization of Machining Techniques in CNC Turning Centre Using Genetic Algorithm of Science and pp, Arabian Journal Engineering, 38, 1529, doi.org/10.1007/s13369-013-0539-8 ; Oguzhan Yilmaz (2006), A user - friendly fuzzy based system for the selection of electro discharge machining process parameters of Materials Processing pp, Journal Technology Vol, 172. ; Pecas (2008), Electrical discharge machining using simple and powder mixeddielectric : the effect of the electrode area in the surface roughness and topography of Materials Processing pp, Journal Technology Vol, 200. ; Chakradhar (2011), Multi - Objective Optimization of Electrochemical machining of EN steel by Grey Relational Analysis of Modeling and Optimization No pp, International Journal, 2, 31. ; Kwasny (2005), Structure , physical properties and fractal character of surface topography of the Ti + TiC coatings on sintered high speed steel of Materials Processing pp, Journal Technology Vol, 164. ; Tripathy (2015), Multi - attribute optimization of machining process parameters in powder mixed electro - discharge machining using TOPSIS and Grey relational analysis and Technology , an International, Engineering Science Journal. ; Jeng Yeau (2003), Ren Nanomeasurement and fractal analysis of PZT ferroelectric thin films by atomic force microscopy pp, Microelectronic Engineering Vol, 65. ; Grzesik (2009), Wavelet and fractal approach to surface roughness characterization after finish turning of different workpiece materials of Materials Processing No pp, Journal Technology Vol, 5, 209. ; Kuldip Singh Sangwan (2015), Kant : Optimization of Machining Parameters to Minimize Surface Roughness using Integrated ANN - GA Approach pp, Procedia CIRP, 29, 305, doi.org/10.1016/j.procir.2015.02.002 ; Wong (1998), Near - mirror - finish phenomenon in EDM using powder - mixed dielectric of Materials Processing pp, Journal Technology Vol, 9, 30. ; Guu (2003), Effect of electrical discharge machining on surface characteristics and machining damage of AISI tool steel and pp, Material Science Engineering, 358. ; Kansal (2005), Parametric optimization of powder mixed electrical discharge machining by response surface methodology of Materials Processing pp, Journal Technology Vol, 169. ; Dewangan (2015), Study of surface integrity and dimensional accuracy in EDM using Fuzzy TOPSIS and sensitivity analysis pp, Measurement, 63. ; Nayak (2013), Multi - response optimization of WEDM process parameters using the AHP and TOPSIS method on Theoretical and Applied Research in Mechanical No pp, International Journal Engineering, 2, 3. ; Asvestas (1998), A power differentiation method of fractal dimension estimation for - D signals of Visual Communication and Image No pp, Journal Representation, 9, 392. ; Mamalis (2004), Nanotechnology and nanostructured materials : trends in carbon nanotubes pp, Precision Engineering, 28, 16, doi.org/10.1016/j.precisioneng.2002.11.002 ; Guu (2005), AFM surface imaging of AISI tool steel machined by the EDM process Surface pp, Applied Science, 242.

DOI

10.1515/meceng-2016-0003

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