Analysis of hybrid HA/CNT suspended-EDM process and multiple-objectives optimization to improve machining responses of 316L steel

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dc.authoridAhmed, Rasel/0000-0002-7712-6272
dc.authoridSarikaya, Murat/0000-0001-6100-0731
dc.authoridDanish, Mohd/0000-0001-7505-0983
dc.authorid, Md Al-Amin/0000-0001-5242-3193
dc.contributor.authorAl-Amin, Md
dc.contributor.authorAbdul-Rani, Ahmad Majdi
dc.contributor.authorDanish, Mohd
dc.contributor.authorZohura, Fatema Tuj
dc.contributor.authorRubaiee, Saeed
dc.contributor.authorAhmed, Rasel
dc.contributor.authorAli, Sadaqat
dc.date.accessioned2025-03-23T19:41:01Z
dc.date.available2025-03-23T19:41:01Z
dc.date.issued2021
dc.departmentSinop Üniversitesi
dc.description.abstractA low material erosion rate (MER) and a high roughness are challenges encountered when machining the biomaterials using the hydroxyapatite powder (HAp) suspended-electric discharge machining (EDM) process. Thus, a comprehensive analysis is needed as the required machining outputs are highly dependent on EDM process factors due to its stochastic behavior during the operation. In this context, the research aims at a detailed investigation of the EDM process factors on the machining responses and the feasibility of multiple additives mixed-EDM process needed for processing 316L steel to realize its full potential. To improve MER and reduce both surface roughness (SR) and tool erosion rate (TER), a hybrid of carbon nanotubes (CNT) and HAp supported EDM technique is employed. SEM and EDX analyses have validated the machined surface morphology and migration of the elements. The EDM process parametric optimization has been carried out utilizing Taguchi-based orthogonal design assisting to get the lowest both TER and SR of 0.245 mg/min and 1.85 mm, respectively. The highest MER of 26.47 mg/min as a machinability metric is achieved. Peak current, pulse-on time and HA/CNT quantity are found to be significant determinants in MER, SR and TER using the ANOVA method. The predicted best 21 solution sets using multi-objective spotted hyena optimizer (MOSHO) and following the set objective functions are tabulated. The estimated experimental evaluation errors are lower than 10%, indicating that the predicted solution sets are highly accurate. This research offers a novel approach to process the 316L steel for biomedical applications with enhanced machining performances. (C) 2021 The Author(s). Published by Elsevier B.V.
dc.description.sponsorshipMalaysian Ministry of Higher Education Fundamental Research Grant Scheme [FRGS/1/2020/TK0/UTP/02/39]; Universiti Teknologi PETRONAS-University of JeddaheUniversity of Leeds-Fetta Sdn Bhd [015ME0-219]
dc.description.sponsorshipThis research was funded by the Malaysian Ministry of Higher Education Fundamental Research Grant Scheme(FRGS/1/2020/TK0/UTP/02/39) and Joint Research Project between Universiti Teknologi PETRONAS-University of JeddaheUniversity of Leeds-Fetta Sdn Bhd (Cost cen-ter:015ME0-219).
dc.identifier.doi10.1016/j.jmrt.2021.09.074
dc.identifier.endpage2574
dc.identifier.issn2238-7854
dc.identifier.issn2214-0697
dc.identifier.scopus2-s2.0-85115948417
dc.identifier.scopusqualityQ1
dc.identifier.startpage2557
dc.identifier.urihttps://doi.org/10.1016/j.jmrt.2021.09.074
dc.identifier.urihttps://hdl.handle.net/11486/6496
dc.identifier.volume15
dc.identifier.wosWOS:000709734700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Materials Research and Technology-Jmr&T
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subject316L steel
dc.subjectElectro-discharge machining
dc.subjectMulti-objective spotted hyena optimizer
dc.subjectMultiple additives
dc.subjectMaterial erosion rate
dc.subjectSurface quality
dc.titleAnalysis of hybrid HA/CNT suspended-EDM process and multiple-objectives optimization to improve machining responses of 316L steel
dc.typeArticle

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