Simultaneous optimization of machine and tool parameters for EDM using WC/Co P/M electrode made with micron and nano sized particles

Nadimpalli Sarada Purnima, S. Pujari, Siva Prasad Dora
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Abstract

Multi-response characteristic optimization is the most desired aspect of the components produced from electric discharge machining (EDM). Obtaining the optimal combination of parameters for surface roughness (SR) and micro-hardness (MH) is always a challenging task as the machining parameters favourable to one performance measure adversely affects the other. The present paper deals with the simultaneous optimization of SR and MH of D2 alloy steel during EDM with tungsten carbide (WC)/cobalt (Co) P/M electrode by considering electrode and machine tool parameters. Experimental run order was planned with Taguchi’s orthogonal arrays (OA) and in the present investigation, it is based on L18 OA. The analysis of variance (ANOVA) performed for the grey relational grade (GRG) showed that the tool parameter “particle size” (PS) is the most influential factor (61.43%) for simultaneous improvement of performance measures. The P/M electrode made of fine particle size (i.e., at nano level) has improved the process stability and reduced the arcing and short-circuiting results in reduced surface roughness. Simultaneously, the formation of the hard intermetallic phase’s viz., Fe3C, Cr23C6, W2C, Fe6W6C, and Cr2Fe14C on the EDMed surface has increased the surface hardness. The optimal set of parameters was validated through confirmation experiments.
微米级和纳米级WC/Co P/M电极电火花加工的机床参数同步优化
多响应特性优化是电火花加工(EDM)零件最需要解决的问题。获得表面粗糙度(SR)和显微硬度(MH)参数的最佳组合一直是一项具有挑战性的任务,因为有利于一项性能指标的加工参数会对另一项性能指标产生不利影响。在考虑电极参数和机床参数的情况下,研究了碳化钨(WC)/钴(Co) P/M电极对D2合金钢电火花加工中SR和MH的同步优化。用田口正交阵列(Taguchi’s orthogonal arrays, OA)规划了实验运行顺序,本研究以L18正交阵列为基础。对灰色关联度(GRG)进行方差分析(ANOVA)表明,工具参数“粒径”(PS)是影响性能指标同步改进的最重要因素(61.43%)。细粒度(即纳米级)的P/M电极提高了工艺稳定性,减少了电弧和短路,降低了表面粗糙度。同时,EDMed表面形成了Fe3C、Cr23C6、W2C、Fe6W6C、Cr2Fe14C等硬质金属间相,提高了表面硬度。通过验证实验对最优参数集进行了验证。
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