The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718

Detalhes bibliográficos
Autor(a) principal: Campos, Felipe dos Anjos Rodrigues
Data de Publicação: 2021
Outros Autores: Souza, Felipe Chagas Rodrigues de, França, Pedro Henrique Pires, Silva, Leonardo Rosa Ribeiro da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50363
Resumo: The Finite Element Method analysis of machining processes has become a ubiquitous feature to the area, however, there sometimes occur considerable deviations between experimental and simulated results due to the inherent complexity of the process. The basis for such may conceivably be related to imprecisions in the material and friction modelling, besides improper setup of mesh parameters. Elements should be small enough to allow for the proper representation of the chip formation, but taking into account that the computational time increases accordingly with mesh downsizing. Simulations of the milling process of Inconel 718 were conducted using the software Thirdwave AdvantEdge under different cutting conditions for three different meshes. Power and temperature output were compared to experimental results, most of which were measured via Hall-effect sensors and thermographic camera, respectively. The tool cutting edge radius was found to be an important factor and was estimated using Scanning Electron Microscope images. The influence of the finite element mesh size was higher for harsher cutting conditions, with effects felt on machining power only. In this case, finer mesh produced results that showed a higher agreement with experimental data, but at higher computational cost as shown by analysis of elapsed processing time. Although errors higher than 40% were observed, power and temperature trends from simulations were always in accordance with that found in experimental tests. Comparisons with experimental data from other studies showed the errors tend to grow for higher feed and cutting speed, which indicates the constitutive model of the material is more adequate for softer machining conditions. Simulation time seemed to be exponentially proportional to the inverse of minimum element size, and measured values might serve as a reference for other users.
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spelling The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718The Finite Element Method analysis of machining processes has become a ubiquitous feature to the area, however, there sometimes occur considerable deviations between experimental and simulated results due to the inherent complexity of the process. The basis for such may conceivably be related to imprecisions in the material and friction modelling, besides improper setup of mesh parameters. Elements should be small enough to allow for the proper representation of the chip formation, but taking into account that the computational time increases accordingly with mesh downsizing. Simulations of the milling process of Inconel 718 were conducted using the software Thirdwave AdvantEdge under different cutting conditions for three different meshes. Power and temperature output were compared to experimental results, most of which were measured via Hall-effect sensors and thermographic camera, respectively. The tool cutting edge radius was found to be an important factor and was estimated using Scanning Electron Microscope images. The influence of the finite element mesh size was higher for harsher cutting conditions, with effects felt on machining power only. In this case, finer mesh produced results that showed a higher agreement with experimental data, but at higher computational cost as shown by analysis of elapsed processing time. Although errors higher than 40% were observed, power and temperature trends from simulations were always in accordance with that found in experimental tests. Comparisons with experimental data from other studies showed the errors tend to grow for higher feed and cutting speed, which indicates the constitutive model of the material is more adequate for softer machining conditions. Simulation time seemed to be exponentially proportional to the inverse of minimum element size, and measured values might serve as a reference for other users.The Finite Element Method analysis of machining processes has become a ubiquitous feature to the area, however, there sometimes occur considerable deviations between experimental and simulated results due to the inherent complexity of the process. The basis for such may conceivably be related to imprecisions in the material and friction modelling, besides improper setup of mesh parameters. Elements should be small enough to allow for the proper representation of the chip formation, but taking into account that the computational time increases accordingly with mesh downsizing. Simulations of the milling process of Inconel 718 were conducted using the software Thirdwave AdvantEdge under different cutting conditions for three different meshes. Power and temperature output were compared to experimental results, most of which were measured via Hall-effect sensors and thermographic camera, respectively. The tool cutting edge radius was found to be an important factor and was estimated using Scanning Electron Microscope images. The influence of the finite element mesh size was higher for harsher cutting conditions, with effects felt on machining power only. In this case, finer mesh produced results that showed a higher agreement with experimental data, but at higher computational cost as shown by analysis of elapsed processing time. Although errors higher than 40% were observed, power and temperature trends from simulations were always in accordance with that found in experimental tests. Comparisons with experimental data from other studies showed the errors tend to grow for higher feed and cutting speed, which indicates the constitutive model of the material is more adequate for softer machining conditions. Simulation time seemed to be exponentially proportional to the inverse of minimum element size, and measured values might serve as a reference for other users.Universidade Estadual De Maringá2021-06-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/5036310.4025/actascitechnol.v43i1.50363Acta Scientiarum. Technology; Vol 43 (2021): Publicação contínua; e52363Acta Scientiarum. Technology; v. 43 (2021): Publicação contínua; e523631806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50363/751375152292Copyright (c) 2021 Acta Scientiarum. Technologyhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCampos, Felipe dos Anjos Rodrigues Souza, Felipe Chagas Rodrigues de França, Pedro Henrique Pires Silva, Leonardo Rosa Ribeiro da2021-08-09T16:53:34Zoai:periodicos.uem.br/ojs:article/50363Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2021-08-09T16:53:34Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
title The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
spellingShingle The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
Campos, Felipe dos Anjos Rodrigues
mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718
mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718
title_short The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
title_full The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
title_fullStr The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
title_full_unstemmed The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
title_sort The effect of mesh parameters on computational cost and results in simulation of milling in Inconel 718
author Campos, Felipe dos Anjos Rodrigues
author_facet Campos, Felipe dos Anjos Rodrigues
Souza, Felipe Chagas Rodrigues de
França, Pedro Henrique Pires
Silva, Leonardo Rosa Ribeiro da
author_role author
author2 Souza, Felipe Chagas Rodrigues de
França, Pedro Henrique Pires
Silva, Leonardo Rosa Ribeiro da
author2_role author
author
author
dc.contributor.author.fl_str_mv Campos, Felipe dos Anjos Rodrigues
Souza, Felipe Chagas Rodrigues de
França, Pedro Henrique Pires
Silva, Leonardo Rosa Ribeiro da
dc.subject.por.fl_str_mv mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718
mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718
topic mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718
mesh downsizing; machining simulation; AdvantEdge; FEM; shoulder milling; Inconel 718
description The Finite Element Method analysis of machining processes has become a ubiquitous feature to the area, however, there sometimes occur considerable deviations between experimental and simulated results due to the inherent complexity of the process. The basis for such may conceivably be related to imprecisions in the material and friction modelling, besides improper setup of mesh parameters. Elements should be small enough to allow for the proper representation of the chip formation, but taking into account that the computational time increases accordingly with mesh downsizing. Simulations of the milling process of Inconel 718 were conducted using the software Thirdwave AdvantEdge under different cutting conditions for three different meshes. Power and temperature output were compared to experimental results, most of which were measured via Hall-effect sensors and thermographic camera, respectively. The tool cutting edge radius was found to be an important factor and was estimated using Scanning Electron Microscope images. The influence of the finite element mesh size was higher for harsher cutting conditions, with effects felt on machining power only. In this case, finer mesh produced results that showed a higher agreement with experimental data, but at higher computational cost as shown by analysis of elapsed processing time. Although errors higher than 40% were observed, power and temperature trends from simulations were always in accordance with that found in experimental tests. Comparisons with experimental data from other studies showed the errors tend to grow for higher feed and cutting speed, which indicates the constitutive model of the material is more adequate for softer machining conditions. Simulation time seemed to be exponentially proportional to the inverse of minimum element size, and measured values might serve as a reference for other users.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50363
10.4025/actascitechnol.v43i1.50363
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50363
identifier_str_mv 10.4025/actascitechnol.v43i1.50363
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/50363/751375152292
dc.rights.driver.fl_str_mv Copyright (c) 2021 Acta Scientiarum. Technology
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Acta Scientiarum. Technology
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 43 (2021): Publicação contínua; e52363
Acta Scientiarum. Technology; v. 43 (2021): Publicação contínua; e52363
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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