Multi-objective process optimization of wire electrical discharge machining based on response surface methodology
Multi-objective process optimization of wire electrical discharge machining based on response surface methodology
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DOI：
10.1007/s40430-013-0079-x
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发表时间：
2014-02-01
影响因子：
2.2
通讯作者：
Izman, S.
中科院分区：
文献类型：
--
作者：
Ghodsiyeh, Danial;Golshan, Abolfazl;Izman, S.
确定最佳切削参数一直是在不同类型的加工中实现高性能的关键问题。基于实验方法的设计，对钛合金（Ti6 Al 4 V）电火花线切割加工过程中脉冲开启时间（T-on）、脉冲关闭时间（T-off）、峰值电流（IP）和伺服电压等4个主要控制参数的行为进行了实验研究。使用直径为0.25 mm的镀锌黄铜丝作为工具电极来切割试样。采用方差分析（ANOVA）技术找出影响表面粗糙度、火花间隙、焊丝滞后、焊丝磨损率和白色层厚度的参数。方差分析的假设进行了讨论和仔细检查。这项工作已被建立作为一个二阶数学模型的基础上的响应曲面法。残差分析和验证运行表明，所提出的模型可以充分描述这些正在调查的因素的性能。这些结果对于科学家和工程师确定过程变量的哪个子集对过程性能的影响最大特别有用。
Determining the optimal cutting parameters has always been a critical matter to achieve high performance in different types of machining. In this study the behavior of four major control parameters includes pulse on time (T-on), pulse off time (T-off), peak current (IP), and servo voltage base on design of experiment method during wire electrical discharge machining of titanium alloy (Ti6Al4 V) experimentally studied. A zinc-coated brass wire of 0.25 mm diameter was used as a tool electrode to cut the specimen. Analysis of variance (ANOVA) technique was used to find out the parameters affecting the surface roughness, sparking gap, wire lag, wire wear ratio, and white layer thickness. Assumptions of ANOVA were discussed and carefully examined. This work has been established as a second-order mathematical model based on the response surface methodology. The residual analysis and confirmation runs indicate that the proposed model could adequately describe the performance of the factors those are being investigated. The results are particularly useful for scientists and engineers to determine which subset of the process variable has the maximum influence on the process performance.