| International Conference on Advances in Materials and Manufacturing Applications 2016 | |
| Modelling and multi objective optimization of WEDM of commercially Monel super alloy using evolutionary algorithms | |
| Varun, Sajja^1 ; Reddy, Kalakada Bhargav Bal^2 ; Reddy, R.R.Vishnu Vardhan^2 | |
| Production and Industrial Engineering, School of Mechanical Engineering, India^1 | |
| Mechanical Engineering, School of Mechanical Engineering, VIT University, Vellore | |
| Tamil Nadu | |
| 632014, India^2 | |
| 关键词: Desirability function; Developed model; Machining parameters; Material removal rate; Multiple response; Multiresponse optimization; Particle swarm optimization technique; Wire electrical discharge machining; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/149/1/012134/pdf DOI : 10.1088/1757-899X/149/1/012134 |
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| 来源: IOP | |
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【 摘 要 】
In this research work, development of a multi response optimization technique has been undertaken, using traditional desirability analysis and non-traditional particle swarm optimization techniques (for different customer's priorities) in wire electrical discharge machining (WEDM). Monel 400 has been selected as work material for experimentation. The effect of key process parameters such as pulse on time (TON), pulse off time (TOFF), peak current (IP), wire feed (WF) were on material removal rate (MRR) and surface roughness(SR) in WEDM operation were investigated. Further, the responses such as MRR and SR were modelled empirically through regression analysis. The developed models can be used by the machinists to predict the MRR and SR over a wide range of input parameters. The optimization of multiple responses has been done for satisfying the priorities of multiple users by using Taguchi-desirability function method and particle swarm optimization technique. The analysis of variance (ANOVA) is also applied to investigate the effect of influential parameters. Finally, the confirmation experiments were conducted for the optimal set of machining parameters, and the betterment has been proved.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Modelling and multi objective optimization of WEDM of commercially Monel super alloy using evolutionary algorithms | 1415KB |
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