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首页> 外文期刊>Periodica Polytechnica. Mechanical Engineering >Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach
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Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach

机译:灰色模糊方法的电线电放电加工(WEDM)工艺参数的多目标优化

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摘要

Wire electro discharge machining (WEDM) is a versatile non-traditional machining process that is extensively in use to machine the components having intricate profiles and shapes. In WEDM, it is very important to select the optimal process parameters so as to enhance the machine performance. This paper emphasizes the selection of optimal parametric combination of WEDM process while machining on EN31 steel, using grey-fuzzy logic technique. Process parameters such as servo voltage, wire tension, pulse-on-time and pulse-off-time were considered while taking into account several multi-responses such as material removal rate (MRR) and surface roughness (SR). It was found that pulse-on-time of 115 mu s, pulse-off-time of 35 mu s, servo voltage of 40 V and wire tension of 5 kgf results in a larger value of grey fuzzy reasoning grade (GFRG) which tends to maximize MRR and improve SR. Finally, analysis of variance (ANOVA) is applied to check the influence of each process parameters in the estimation of GFRG.
机译:电线电放电加工(WEDM)是一种通用的非传统加工过程,可广泛用于机器机器具有复杂的曲线和形状的组件。在WEDM中,选择最佳过程参数非常重要,以提高机器性能。本文强调了使用灰色模糊逻辑技术在加工EN31钢的同时选择WEDM过程的最佳参数组合。考虑到诸如材料去除率(MRR)和表面粗糙度(SR)的几个多响应,考虑了诸如伺服电压,线张力,脉冲导通时间和脉冲关闭时间的过程参数。发现脉冲导通时间115亩,脉冲关闭时间为35μs,伺服电压为40V,5kgf的线张力导致倾向于灰色模糊推理等级(GFRG)的较大值最大化MRR并改善SR。最后,应用方差分析(ANOVA)来检查每个过程参数在GFRG的估计中的影响。

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