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Multi-objective Optimization of Process Parameters in WEDM of Aluminum Hybrid Composite using Taguchi and TOPSIS Techniques

Publication Type : Conference Proceedings

Publisher : IOP Conference Series: Materials Science and Engineering

Source : IOP Conference Series: Materials Science and Engineering, IOP Publishing, Volume 402, p.1-10 (2018)

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Campus : Chennai

School : School of Engineering

Center : Research & Projects

Department : Mechanical

Year : 2018

Abstract : Multi-Criteria Decision Making (MCDM) strategies have gotten much consideration from scientists and professionals in assessing, evaluating and positioning choices transverse over assorted technologies. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues on working attractively crosswise over various application territories. This paper proposes the TOPSIS-based Taguchi enhancement way to deal with decide the ideal WEDM process parameter for machining of aluminum hybrid composite using brass wire. The hybrid metal matrix composite was manufactured by stir casting process utilizing particulates SiC and graphite each in Al6061 combination. This experiment was outlined with L27 orthogonal cluster. The test input parameters are Pulse on time, Pulse off time, current, gap voltage, wire speed & wire tension. The impact of the machining parameters on the kerf width (KW) and surface roughness (SR) is expressed by utilizing examination of variation. The parameters corresponding to experiment run number 9 are Pulse on time 108 units (Level 1), Pulse off time 60 units (Level 3), peak current 230 units (Level 3), gap set voltage 60 units (Level 3), wire feed 5 units (Level 3) and wire tension 12 units (Level 3) are the best combination to achieve better surface roughness & kerf width.

Cite this Research Publication : Muniappan A., Jaivaakheish A. P., Jayakumar V., Arunagiri A., and Senthilkumar R., “Multi objective optimization of process parameters in WEDM of aluminum hybrid composite using taguchi and topsis techniques”, IOP Conference Series: Materials Science and Engineering, vol. 402. IOP Publishing, pp. 1-10, 2018.

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