电火花加工过共晶铝硅合金的实验研究及多响应优化

D. Babu, S. Kiran, P. Vundavilli, A. Mandal
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引用次数: 6

摘要

线切割加工是一种非传统的加工工艺,主要用于复合材料和金属间材料等难加工材料的加工。过共晶铝硅合金因其优异的性能在汽车、航空航天和电子等领域得到了广泛的应用,本文尝试采用电火花线切割加工过共晶铝硅合金。在实验中,以脉冲开断时间、进丝速度、硅含量变化等电火花线切割加工参数为控制因素。本文试图研究合金体系中硅含量对材料去除率(MRR)和加工表面粗糙度(SR)等性能指标的影响。此外,还研究了各种输入工艺参数对响应的影响。为了优化上述性能特征,实现了两种多目标优化方法,即灰色关联分析(GRA)和主成分分析(PCA)。研究发现,主成分分析优于灰色关联分析。[2015年10月9日收到;2016年5月26日修订;接受2016年6月21日]
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental investigations and multi-response optimisation of wire electric discharge machining of hypereutectic Al-Si alloys
Wire electrical discharge machining (WEDM) is a non-traditional machining process, which is used for machining of difficult to machine materials, like composites and inter metallic materials. In the present paper, an attempt is made to machine hypereutectic Al-Si alloys using WEDM as these materials are widely used in automotive, aerospace and electronic fields because of its attractive properties. In the study, the WEDM machining parameters, such as pulse on time, pulse off time, wire feed rate and variation of percentage of silicon are taken as controlling factors for experimentation. In the present manuscript, an attempt is made to study the influence of percentage of silicon in the alloy system on the performance measures, such as material removal rate (MRR) and surface roughness (SR) of machining. Further, the influence of various input process parameters on the responses has also been studied. In order to optimise the said performance characteristics, two multi-objective optimisation methodologies namely grey relational analysis (GRA) and principal component analysis (PCA) are implemented. It has been observed that principal component analysis is found to perform better than grey relational analysis. [Received 9 October 2015; Revised 26 May 2016; Accepted 21 June 2016]
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