An extensive data set related to micro-drilling of Al-SiC-B4C hybrid composite through µECM using GRA coupled PCA.

• Main Authors: Venkatesh Chenrayan, Mengistu Gelaw, Chandru Manivannan, Venkatesan Rajamanickam, Ellappan Venugopal
• Format: Article
• Language: English
• Published: Elsevier 2020-12-01
• Series: Data in Brief
• Subjects: Machining time; Electrode wear; Electro chemical machining; Grey coefficients; Principal components
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340920313731

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 (µECM) 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.