Optimization of Process Parameters for Silicon Carbide Powder Mixed EDM

S. Tripathy, D. Tripathy
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Abstract

The present chapter deals with the investigations on the effect of process parameters like powder concentration (Cp), peak current (Ip), pulse-on-time (Ton), duty cycle (DC), and gap voltage (Vg) on output responses like material removal rate (MRR), tool wear rate (TWR), electrode wear ratio (EWR), surface roughness (SR), recast layer thickness (RLT), and micro-hardness (HVN) for PMEDM of H-11 hot work tool steel. Multi-objective optimization using grey relational analysis (GRA) has been implemented to identify the optimum set of input parameters to achieve maximum MRR and HVN with minimum TWR, EWR, SR, and RLT at the same time. Predicted results on verification with confirmation tests improve the preference values by 0.09468 with GRA. The recommended settings of process parameters is found to be Cp=6g/l, Ip=3Amp, Ton=100µs, DC=70%, and Vg=30V from GRA. The microstructures were examined with scanning electron microscope (SEM) to find the presence of surface deformities and identify alterations on the surface in comparison to the base material.
碳化硅粉末混合电火花加工工艺参数的优化
本章研究了粉末浓度(Cp)、峰值电流(Ip)、脉冲导通时间(Ton)、占空比(DC)和间隙电压(Vg)等工艺参数对H-11热加工工具钢PMEDM的材料去除率(MRR)、刀具磨损率(TWR)、电极磨损比(EWR)、表面粗糙度(SR)、重铸层厚度(RLT)和显微硬度(HVN)等输出响应的影响。利用灰色关联分析(GRA)实现多目标优化,确定最优输入参数集,以实现最大MRR和HVN,同时实现最小TWR、EWR、SR和RLT。用确认试验验证的预测结果使GRA的偏好值提高了0.09468。从GRA中发现工艺参数的推荐设置为Cp=6g/l, Ip=3Amp, Ton=100µs, DC=70%, Vg=30V。用扫描电子显微镜(SEM)检查微观结构,以发现表面变形的存在,并识别与基材相比表面的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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