4.1 Article Data Paper

An extensive data set related to micro-drilling of Al-SiC-B4 C hybrid composite through μECM using GRA coupled PCA

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DATA IN BRIEF
Volume 33, Issue -, Pages -

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ELSEVIER
DOI: 10.1016/j.dib.2020.106491

Keywords

Machining time; Electrode wear; Electro chemical machining; Grey coefficients; Principal components

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The emerging technique of micro electro mechanical systems throws a lot of challenging in the micro and nanoscale of machining. The present research explores the development of hybrid aluminium composite with hard particles boron carbide and silicon carbide in 10% volume fraction, and drilling of micro-holes using micro Electro Chemical Machining (mu ECM) process. The experiments were conducted based on Taguchi's design of experiments. The chief drilling parameters considered for electrochemical drilling were frequency, voltage, current, and electrolyte concentration. The machining duration and electrode wear were observed as the machining responses. After the experimental trials, the observed machining responses were transformed into equivalent Multi Response Performance Index (MRPI) through Grey Relational Approach (GRA) approach. This MRPI were further analysed through Principal Component Analysis (PCA) so as to determine the exact interaction effect of each parameter on the machining responses. The supply current and electrolyte concentration were found to impact the responses at a bigger level, but frequency and voltage were at the meagre level. The research declared the purposeful finding of optimized micro-drilling parameters of 30 Hz frequency, 8 V voltage, 16A current, and 0.4 mol of electrolyte concentration. The data presented in the articles are highly contributed to enhancing the micro-drilling process in terms of good process capability. (C) 2020 Published by Elsevier Inc.

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