Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/41596
Title: Multi-Objective Parametric Optimization for Non-Conventional Machining of Inconel 825 − for an Industrial Application
Authors: Chandrasekaran, M
George, J
Arunachalam, RM
Teyi, N
Keywords: Inconel 825;WEDM;Optimization;Surface Roughness;MRR
Issue Date: May-2017
Publisher: NISCAIR-CSIR, India
Abstract: Inconel and titanium based alloys are hard, high temperature resistant and high strength materials finding wide application in aerospace, marine, food processing and nuclear industries. The conventional machining of these materials results in higher cutting forces and excessive tool wear. Wire cut electrical discharge machining (WEDM) being one of the popular non-conventional machining processes is used for macro and micro machining of hard and high strength materials. In this work, an experimental analysis and response surface modelling of WEDM process of Inconel 825 has been carried out. The surface roughness (Ra) and material removal rate (MRR) are two common performance parameters for accessing the ability of WEDM process. Pulse on time (Ton), pulse off time (Toff), peak current (Ip) and servo voltage (SV) are used as process parameters. Response surface methodology (RSM) modelling between inputs-output relationships has been obtained. The developed full quadratic model with R2 value of 92.06% and 95.62% for Ra and MRR respectively, produces less percentage error. The relationship between process responses and input factors are analyzed with 3D surface plots. The multi-objective optimization of non-conventional machining of Inconel 825 using genetic algorithm (GA) provides 21 Pareto-optimal fronts. An optimization table is generated for use in manufacturing industry for the production of components of desired surface roughness with maximum MRR.
Page(s): 314-319
URI: http://nopr.niscair.res.in/handle/123456789/41596
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.76(05) [May 2017]

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