利用熵灰色关联分析法对线材电火花加工中齿轮切削过程的工艺参数进行分析

K. D. Mohapatra, R. Dash, S. Sahoo
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引用次数: 5

摘要

利用混合熵GRA方法对线切割齿轮加工过程中的响应参数进行优化。本工作的目的是分析工艺参数,研究其影响并优化工艺,以生产高质量的齿轮。实验在电火花线切割机上进行,采用全因子设计,实验组合数为64个。以钛为工件材料,黄铜为工具电极,蒸馏水为介质。实验采用三个工艺参数,每个工艺参数在四个不同的水平上进行。从实验中获得了MRR、切口宽度、导线磨损率和齿宽误差(TWE)四个响应参数,并通过混合方法对输出进行优化,从这些组合中获得最优设置。获得的最佳设置支持在不久的将来生产高质量的齿轮。[2016年8月9日收到;2017年3月29日修订;接受2017年3月29日]
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Analysis of process parameters in wire electric discharge machining of gear cutting process using entropy grey relational analysis approach
The present paper focuses on optimisation of response parameters in a gear cutting process by wire EDM using a hybrid entropy GRA approach. The objective of the present work is to analyse the process parameters and to study the effects and optimise the process in order to produce high quality gears. The experiment was conducted in wire EDM machine by full factorial design of experiments having 64 numbers of combinations. Titanium was taken as the work-piece material with brass as the tool electrode and distilled water as dielectric. The experiment was carried out by taking three process parameters at four different levels each. Four response parameters, i.e., MRR, kerf width, wire wear rate and tooth width error (TWE) were obtained from the experiment and the outputs were optimised by using the hybrid approach to get an optimum setting from these combinations. The optimum settings obtained endorses to produce high quality gears in near future. [Received 9 August 2016; Revised 29 March 2017; Accepted 29 March 2017]
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