Analytic roughness prediction by deep rolling

Detalhes bibliográficos
Autor(a) principal: B. Denkena
Data de Publicação: 2020
Outros Autores: Alexandre Mendes Abrao, A. Krödel, Kolja Meyer
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1007/s11740-020-00961-0
http://hdl.handle.net/1843/57014
https://orcid.org/0000-0003-2015-4077
Resumo: CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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spelling 2023-07-26T17:22:08Z2023-07-26T17:22:08Z2020-04-30143345354https://doi.org/10.1007/s11740-020-00961-00944-6524http://hdl.handle.net/1843/57014https://orcid.org/0000-0003-2015-4077CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDeep rolling is a widely applied mechanical surface and subsurface treatment method. It is typically used after conventional machining to improve the roughness, increase the surface hardness and to induce compressive residual stresses. The main influence parameters on the surface topography are the applied deep rolling pressure, the ball diameter and the feed. In general, low feeds, larger ball diameters and higher pressures result in an even surface finish. However, an exact prediction of the roughness is not possible. Therefore, it is the aim of the presented research to find a generally applicable method for surface roughness prediction after deep rolling for a variety of steel and aluminum materials. It is shown that the surface topography can be predicted by an analytical model with high accuracy.engUniversidade Federal de Minas GeraisUFMGBrasilENG - DEPARTAMENTO DE ENGENHARIA MECÂNICAENGENHARIA - ESCOLA DE ENGENHARIAProduction EngineeringEngenharia de Materiais e MetalúrgicaTestes de durezaTopografiaDeep rollingSurface topographyRoughnessRoller burnishingAnalytic roughness prediction by deep rollinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://link.springer.com/article/10.1007/s11740-020-00961-0B. DenkenaAlexandre Mendes AbraoA. KrödelKolja Meyerapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/57014/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALAnalytic roughness prediction by deep rolling.pdfAnalytic roughness prediction by deep rolling.pdfapplication/pdf2538359https://repositorio.ufmg.br/bitstream/1843/57014/2/Analytic%20roughness%20prediction%20by%20deep%20rolling.pdfaefd39e9c443ccee904e8c9a8cce3876MD521843/570142023-07-26 14:22:08.141oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-07-26T17:22:08Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Analytic roughness prediction by deep rolling
title Analytic roughness prediction by deep rolling
spellingShingle Analytic roughness prediction by deep rolling
B. Denkena
Deep rolling
Surface topography
Roughness
Roller burnishing
Engenharia de Materiais e Metalúrgica
Testes de dureza
Topografia
title_short Analytic roughness prediction by deep rolling
title_full Analytic roughness prediction by deep rolling
title_fullStr Analytic roughness prediction by deep rolling
title_full_unstemmed Analytic roughness prediction by deep rolling
title_sort Analytic roughness prediction by deep rolling
author B. Denkena
author_facet B. Denkena
Alexandre Mendes Abrao
A. Krödel
Kolja Meyer
author_role author
author2 Alexandre Mendes Abrao
A. Krödel
Kolja Meyer
author2_role author
author
author
dc.contributor.author.fl_str_mv B. Denkena
Alexandre Mendes Abrao
A. Krödel
Kolja Meyer
dc.subject.por.fl_str_mv Deep rolling
Surface topography
Roughness
Roller burnishing
topic Deep rolling
Surface topography
Roughness
Roller burnishing
Engenharia de Materiais e Metalúrgica
Testes de dureza
Topografia
dc.subject.other.pt_BR.fl_str_mv Engenharia de Materiais e Metalúrgica
Testes de dureza
Topografia
description CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
publishDate 2020
dc.date.issued.fl_str_mv 2020-04-30
dc.date.accessioned.fl_str_mv 2023-07-26T17:22:08Z
dc.date.available.fl_str_mv 2023-07-26T17:22:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/57014
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1007/s11740-020-00961-0
dc.identifier.issn.pt_BR.fl_str_mv 0944-6524
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0003-2015-4077
url https://doi.org/10.1007/s11740-020-00961-0
http://hdl.handle.net/1843/57014
https://orcid.org/0000-0003-2015-4077
identifier_str_mv 0944-6524
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Production Engineering
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ENG - DEPARTAMENTO DE ENGENHARIA MECÂNICA
ENGENHARIA - ESCOLA DE ENGENHARIA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
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