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An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.

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 mi...

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Autores principales: Chenrayan, Venkatesh, Gelaw, Mengistu, Manivannan, Chandru, Rajamanickam, Venkatesan, Venugopal, Ellappan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666316/
https://www.ncbi.nlm.nih.gov/pubmed/33225030
http://dx.doi.org/10.1016/j.dib.2020.106491
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author Chenrayan, Venkatesh
Gelaw, Mengistu
Manivannan, Chandru
Rajamanickam, Venkatesan
Venugopal, Ellappan
author_facet Chenrayan, Venkatesh
Gelaw, Mengistu
Manivannan, Chandru
Rajamanickam, Venkatesan
Venugopal, Ellappan
author_sort Chenrayan, Venkatesh
collection PubMed
description 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.
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spelling pubmed-76663162020-11-20 An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA. Chenrayan, Venkatesh Gelaw, Mengistu Manivannan, Chandru Rajamanickam, Venkatesan Venugopal, Ellappan Data Brief Data Article 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. Elsevier 2020-11-06 /pmc/articles/PMC7666316/ /pubmed/33225030 http://dx.doi.org/10.1016/j.dib.2020.106491 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Chenrayan, Venkatesh
Gelaw, Mengistu
Manivannan, Chandru
Rajamanickam, Venkatesan
Venugopal, Ellappan
An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.
title An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.
title_full An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.
title_fullStr An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.
title_full_unstemmed An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.
title_short An extensive data set related to micro-drilling of Al-SiC-B(4)C hybrid composite through µECM using GRA coupled PCA.
title_sort extensive data set related to micro-drilling of al-sic-b(4)c hybrid composite through µecm using gra coupled pca.
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666316/
https://www.ncbi.nlm.nih.gov/pubmed/33225030
http://dx.doi.org/10.1016/j.dib.2020.106491
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