GA-based optimisation using RSM in WEDM of Nimonic-90: A nickel-based super alloy

被引：2

作者：

Kumar V. ^{[1
]}

Jangra K.K. ^{[2
]}

Kumar V. ^{[1
]}

Sharma N. ^{[3
]}

机构：

[1] Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad

[2] Department of Mechanical Engineering, PEC University of Technology, Chandigarh

[3] Department of Mechanical Engineering, D.A.V. University, Jalandhar

来源：

Kumar, Vinod (vinodrohilla78@gmail.com) | 2018年 / Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 28期

关键词：

GA; Genetic algorithm; Nimonic-90; Response surface methodology; RSM; Surface roughness; WEDM; Wire electric discharge machining;

D O I：

10.1504/IJISE.2018.088564

中图分类号：

学科分类号：

摘要：

The present research work is focused on optimisation of WEDM process parameters for machining of Nimonic-90. It is a nickel-based alloy possessing creep resistance and high rupture strength at high temperature (up to 950°C). Genetic algorithm (GA) and response surface methodology (RSM) incorporated with each other to optimise the process parameters. Four input process parameters viz. discharge current (IP), pulse-off time (Toff), pulse-on time (Ton), and servo voltage (SV) have been investigated and modelled for surface roughness (SR) utilising RSM. In present experimentation, quadratic model has been suggested for surface roughness. Pulse-on time is most significant effect on surface roughness as compared to other parameters. Finally, genetic algorithm, a popular evolutionary approach is used to optimise the process parameters. Using SEM micrographs and micro-hardness profile, effect of discharge energy on surface morphology has been examined. Copyright © 2018 Inderscience Enterprises Ltd.

引用

页码：53 / 69

页数：16

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