Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/14038 |
Resumo: | This paper presents a study of the Taguchi design application to optimize surface quality in a CNC end milling operation. The present study includes feed per tooth, cutting speed and radial depth of cut as control factors. An orthogonal array of L9 was used and the ANOVA analyses were carried out to identify the significant factors affecting the surface roughness. The optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio. The study was carried-out by machining a hardened steel block (steel 1.2738) with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.662 µm, being the radial depth of cut the most influent parameter, with 64% of contribution for the workpiece surface finishing. |
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Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi methodMillingCutting parametersOptimizationSurface roughnessTaguchi methodThis paper presents a study of the Taguchi design application to optimize surface quality in a CNC end milling operation. The present study includes feed per tooth, cutting speed and radial depth of cut as control factors. An orthogonal array of L9 was used and the ANOVA analyses were carried out to identify the significant factors affecting the surface roughness. The optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio. The study was carried-out by machining a hardened steel block (steel 1.2738) with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.662 µm, being the radial depth of cut the most influent parameter, with 64% of contribution for the workpiece surface finishing.Biblioteca Digital do IPBRibeiro, J.E.Lopes, HernaniQueijo, LuisFigueiredo, Daniel2017-02-17T14:41:09Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/14038engRibeiro, J.E.; Lopes, H.; Luis, Queijo; Figueiredo, D. (2017). Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method. Periodica Polytechnica Mechanical Engineering. ISSN 0324-6051. 61:1, p. 30-350324-605110.3311/PPme.9114info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:33:07Zoai:bibliotecadigital.ipb.pt:10198/14038Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:03:59.887463Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
title |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
spellingShingle |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method Ribeiro, J.E. Milling Cutting parameters Optimization Surface roughness Taguchi method |
title_short |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
title_full |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
title_fullStr |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
title_full_unstemmed |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
title_sort |
Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method |
author |
Ribeiro, J.E. |
author_facet |
Ribeiro, J.E. Lopes, Hernani Queijo, Luis Figueiredo, Daniel |
author_role |
author |
author2 |
Lopes, Hernani Queijo, Luis Figueiredo, Daniel |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Ribeiro, J.E. Lopes, Hernani Queijo, Luis Figueiredo, Daniel |
dc.subject.por.fl_str_mv |
Milling Cutting parameters Optimization Surface roughness Taguchi method |
topic |
Milling Cutting parameters Optimization Surface roughness Taguchi method |
description |
This paper presents a study of the Taguchi design application to optimize surface quality in a CNC end milling operation. The present study includes feed per tooth, cutting speed and radial depth of cut as control factors. An orthogonal array of L9 was used and the ANOVA analyses were carried out to identify the significant factors affecting the surface roughness. The optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio. The study was carried-out by machining a hardened steel block (steel 1.2738) with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.662 µm, being the radial depth of cut the most influent parameter, with 64% of contribution for the workpiece surface finishing. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-17T14:41:09Z 2017 2017-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/14038 |
url |
http://hdl.handle.net/10198/14038 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ribeiro, J.E.; Lopes, H.; Luis, Queijo; Figueiredo, D. (2017). Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method. Periodica Polytechnica Mechanical Engineering. ISSN 0324-6051. 61:1, p. 30-35 0324-6051 10.3311/PPme.9114 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799135286255419392 |