Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric

Detalhes bibliográficos
Autor(a) principal: Elumalai,B.
Data de Publicação: 2022
Outros Autores: Gowri,S., Hariharan,P., Pillai,K.V. Arun
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Materials research (São Carlos. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392022000100217
Resumo: Abstract Micro electro-discharge machining is one of the efficient processes to create three-dimensional micro features of metallic components for various applications. Powder mixed EDM improves the machining rate and reduces the surface roughness by evenly distributing the spark. The present studydemonstrates the effect of SiC nanopowder on the machining of Inconel 718 at different Discharge Energy Regimes (DER). Significant improvement in MRR, reduction in TWR and surface roughness were observed in nanopowder mixed micro-EDM (NPMμEDM) compared with micro-EDM. The nano additive considerably improved the Material Removal Rate (MRR) by163% and reduced the Tool Wear Rate (TWR)and surface roughness by 24%, 17% respectively. Models were created to predict the Surface Roughness in NPMμEDM using two different approaches namely Support Vector Regression (SVR) and Random Forest Machine (RFM). Both SVR and RFM models were able to predict the Ra value with better accuracies.
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spelling Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed DielectricMicro-EDMSilicon carbide nanoparticleInconel 718Machine learningAbstract Micro electro-discharge machining is one of the efficient processes to create three-dimensional micro features of metallic components for various applications. Powder mixed EDM improves the machining rate and reduces the surface roughness by evenly distributing the spark. The present studydemonstrates the effect of SiC nanopowder on the machining of Inconel 718 at different Discharge Energy Regimes (DER). Significant improvement in MRR, reduction in TWR and surface roughness were observed in nanopowder mixed micro-EDM (NPMμEDM) compared with micro-EDM. The nano additive considerably improved the Material Removal Rate (MRR) by163% and reduced the Tool Wear Rate (TWR)and surface roughness by 24%, 17% respectively. Models were created to predict the Surface Roughness in NPMμEDM using two different approaches namely Support Vector Regression (SVR) and Random Forest Machine (RFM). Both SVR and RFM models were able to predict the Ra value with better accuracies.ABM, ABC, ABPol2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392022000100217Materials Research v.25 2022reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1980-5373-mr-2021-0468info:eu-repo/semantics/openAccessElumalai,B.Gowri,S.Hariharan,P.Pillai,K.V. Aruneng2021-11-19T00:00:00Zoai:scielo:S1516-14392022000100217Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2021-11-19T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
title Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
spellingShingle Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
Elumalai,B.
Micro-EDM
Silicon carbide nanoparticle
Inconel 718
Machine learning
title_short Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
title_full Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
title_fullStr Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
title_full_unstemmed Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
title_sort Experimental Investigations on µED Milling of Inconel 718 with Nano SiC Abrasive Mixed Dielectric
author Elumalai,B.
author_facet Elumalai,B.
Gowri,S.
Hariharan,P.
Pillai,K.V. Arun
author_role author
author2 Gowri,S.
Hariharan,P.
Pillai,K.V. Arun
author2_role author
author
author
dc.contributor.author.fl_str_mv Elumalai,B.
Gowri,S.
Hariharan,P.
Pillai,K.V. Arun
dc.subject.por.fl_str_mv Micro-EDM
Silicon carbide nanoparticle
Inconel 718
Machine learning
topic Micro-EDM
Silicon carbide nanoparticle
Inconel 718
Machine learning
description Abstract Micro electro-discharge machining is one of the efficient processes to create three-dimensional micro features of metallic components for various applications. Powder mixed EDM improves the machining rate and reduces the surface roughness by evenly distributing the spark. The present studydemonstrates the effect of SiC nanopowder on the machining of Inconel 718 at different Discharge Energy Regimes (DER). Significant improvement in MRR, reduction in TWR and surface roughness were observed in nanopowder mixed micro-EDM (NPMμEDM) compared with micro-EDM. The nano additive considerably improved the Material Removal Rate (MRR) by163% and reduced the Tool Wear Rate (TWR)and surface roughness by 24%, 17% respectively. Models were created to predict the Surface Roughness in NPMμEDM using two different approaches namely Support Vector Regression (SVR) and Random Forest Machine (RFM). Both SVR and RFM models were able to predict the Ra value with better accuracies.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392022000100217
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392022000100217
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-5373-mr-2021-0468
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv ABM, ABC, ABPol
publisher.none.fl_str_mv ABM, ABC, ABPol
dc.source.none.fl_str_mv Materials Research v.25 2022
reponame:Materials research (São Carlos. Online)
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str ABM ABC ABPOL
institution ABM ABC ABPOL
reponame_str Materials research (São Carlos. Online)
collection Materials research (São Carlos. Online)
repository.name.fl_str_mv Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv dedz@power.ufscar.br
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