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首页> 外文期刊>Arabian Journal for Science and Engineering >Electrochemical Discharge Drilling of SiC Reinforced Polymer Matrix Composite Using Taguchi’s Grey Relational Analysis
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Electrochemical Discharge Drilling of SiC Reinforced Polymer Matrix Composite Using Taguchi’s Grey Relational Analysis

机译：基于Taguchi灰色关联分析的SiC增强聚合物基复合材料的电化学放电钻孔。

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摘要

Micro-drilling of nonconductive fibrous materials is an imperative factor in advancement of manufacturing industries. Optimization for increased material removal rate (MRR) along with minimum overcut and taper in drilling of these materials becomes an essential feature for improved results. For that purpose, grey relational analysis (GRA) proves to be a superior optimization technique to forecast and decision-making in various areas of manufacturing sector. This paper emphasizes on optimizing process parameters of electrochemical discharge drilling for micro-drilling of a SiC reinforced polymer matrix composite using GRA. The experimentation was planned as per Taguchi methodology, and output quality characteristics were observed as overcut, taper and MRR. The results for micro-drilling were optimized by the multi-response optimization technique GRA to attain improved material removal rate (MRR) with least overcut and taper. The results revealed that optimization through grey relational analysis provides enhanced output quality characteristics.
机译：非导电纤维材料的微钻孔是制造业发展的重要因素。优化的材料去除率（MRR）以及最小化这些材料钻孔时的过切和锥度成为改善结果的一项基本功能。为此，灰色关联分析（GRA）被证明是制造业各个领域预测和决策的一种出色的优化技术。本文着重优化用于GRA的SiC增强聚合物基复合材料微钻的电化学放电钻的工艺参数的优化。根据田口方法对实验进行了计划，并观察到输出质量特征为过切，锥度和MRR。通过多响应优化技术GRA对微钻孔的结果进行了优化，以提高材料去除率（MRR），同时减少了过切和锥度。结果表明，通过灰色关联分析进行的优化提供了增强的输出质量特征。

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