Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel

There is a high roughness and tool wear rate (TER), and a minimal material erosion rate (MER) when 316L steel is machined through conventional or conductive powder mixed electro-discharge (EDM) processes. Since the required machining outputs are primarily dependent on process parameters due to their...

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Main Authors: Danish, M., Al-Amin, M., Rubaiee, S., Abdul-Rani, A.M., Zohura, F.T., Ahmed, A., Ahmed, R., Yildirim, M.B.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127594083&doi=10.1007%2fs00170-022-09157-5&partnerID=40&md5=b49801eab33ca7a85d0712205eb6b687
http://eprints.utp.edu.my/33056/
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spelling my.utp.eprints.330562022-06-09T08:19:58Z Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel Danish, M. Al-Amin, M. Rubaiee, S. Abdul-Rani, A.M. Zohura, F.T. Ahmed, A. Ahmed, R. Yildirim, M.B. There is a high roughness and tool wear rate (TER), and a minimal material erosion rate (MER) when 316L steel is machined through conventional or conductive powder mixed electro-discharge (EDM) processes. Since the required machining outputs are primarily dependent on process parameters due to their fluctuating nature during the operation, a thorough study is required. This research intends to investigate the effects of EDM process parameters on the machining outputs. The carbon nanotubes (CNT) are added to the working dielectric to achieve a high MER with a low TER and surface roughness (SR). The machined surface�s morphology and composition are validated using scanning electron microscope (SEM) and electron dispersive X-ray (EDX). Taguchi�s design has been employed to conduct the EDM process parametric optimization obtaining the smallest TER and SR of 0.34 mg/min and 1.55 µm, respectively. The greatest MER of 39.76 mg/min, which is considered for the machining efficacy, is obtained. The most relevant factor for MER, TER, and SR is current intensity, followed by CNT quantity, according to analysis of variance (ANOVA). The estimated errors of the predicted solution sets using the multi-objective ant lion optimizer (MOALO) are less than 10, which confirm a high prediction of them. Findings of this research will result in an effective manufacturing process for fabricating the devices made of 316L steel for biomedical and oil and gas applications. © 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature. Springer Science and Business Media Deutschland GmbH 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127594083&doi=10.1007%2fs00170-022-09157-5&partnerID=40&md5=b49801eab33ca7a85d0712205eb6b687 Danish, M. and Al-Amin, M. and Rubaiee, S. and Abdul-Rani, A.M. and Zohura, F.T. and Ahmed, A. and Ahmed, R. and Yildirim, M.B. (2022) Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel. International Journal of Advanced Manufacturing Technology, 120 (9-10). pp. 6125-6141. http://eprints.utp.edu.my/33056/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description There is a high roughness and tool wear rate (TER), and a minimal material erosion rate (MER) when 316L steel is machined through conventional or conductive powder mixed electro-discharge (EDM) processes. Since the required machining outputs are primarily dependent on process parameters due to their fluctuating nature during the operation, a thorough study is required. This research intends to investigate the effects of EDM process parameters on the machining outputs. The carbon nanotubes (CNT) are added to the working dielectric to achieve a high MER with a low TER and surface roughness (SR). The machined surface�s morphology and composition are validated using scanning electron microscope (SEM) and electron dispersive X-ray (EDX). Taguchi�s design has been employed to conduct the EDM process parametric optimization obtaining the smallest TER and SR of 0.34 mg/min and 1.55 µm, respectively. The greatest MER of 39.76 mg/min, which is considered for the machining efficacy, is obtained. The most relevant factor for MER, TER, and SR is current intensity, followed by CNT quantity, according to analysis of variance (ANOVA). The estimated errors of the predicted solution sets using the multi-objective ant lion optimizer (MOALO) are less than 10, which confirm a high prediction of them. Findings of this research will result in an effective manufacturing process for fabricating the devices made of 316L steel for biomedical and oil and gas applications. © 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
format Article
author Danish, M.
Al-Amin, M.
Rubaiee, S.
Abdul-Rani, A.M.
Zohura, F.T.
Ahmed, A.
Ahmed, R.
Yildirim, M.B.
spellingShingle Danish, M.
Al-Amin, M.
Rubaiee, S.
Abdul-Rani, A.M.
Zohura, F.T.
Ahmed, A.
Ahmed, R.
Yildirim, M.B.
Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
author_facet Danish, M.
Al-Amin, M.
Rubaiee, S.
Abdul-Rani, A.M.
Zohura, F.T.
Ahmed, A.
Ahmed, R.
Yildirim, M.B.
author_sort Danish, M.
title Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
title_short Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
title_full Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
title_fullStr Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
title_full_unstemmed Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
title_sort enhanced machining features and multi-objective optimization of cnt mixed-edm process for processing 316l steel
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127594083&doi=10.1007%2fs00170-022-09157-5&partnerID=40&md5=b49801eab33ca7a85d0712205eb6b687
http://eprints.utp.edu.my/33056/
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score 13.160551