Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques

Detalhes bibliográficos
Autor(a) principal: Ruzzi, Rodrigo de Souza
Data de Publicação: 2020
Outros Autores: Ribeiro da Silva, Leonardo Rosa, Silva, Rosemar Batista da, Silva Junior, Washington Martins da, Bianchi, Eduardo Carlos [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.triboint.2019.105962
http://hdl.handle.net/11449/196464
Resumo: The search for more sustainable grinding processes resulted in alternative cooling-lubrication techniques, as minimum quantity lubrication (MQL). However, this shift changes the associated tribosystem and, thus, the surface topography. This work investigates the topography of SAE 4340 steel after grinding with different cooling-lubrication techniques: flood, MQL and MQL with cleaning system (MQL + CS). The topography was analyzed through several roughness parameters and SEM. The results showed that surfaces ground with the MQL and MQL + CS presented larger bearing areas and lower peaks and valleys dispersion. The MQL technique, especially the MQL + CS, also lowered the grinding wheel wear by better cleaning the wheel pores. Furthermore, the CS was efficient at removing debris that adhered to the wheel and improved lubrication of the tribosystem.
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spelling Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniquesTopographical characterizationGrindingRoughness parametersMQL techniqueThe search for more sustainable grinding processes resulted in alternative cooling-lubrication techniques, as minimum quantity lubrication (MQL). However, this shift changes the associated tribosystem and, thus, the surface topography. This work investigates the topography of SAE 4340 steel after grinding with different cooling-lubrication techniques: flood, MQL and MQL with cleaning system (MQL + CS). The topography was analyzed through several roughness parameters and SEM. The results showed that surfaces ground with the MQL and MQL + CS presented larger bearing areas and lower peaks and valleys dispersion. The MQL technique, especially the MQL + CS, also lowered the grinding wheel wear by better cleaning the wheel pores. Furthermore, the CS was efficient at removing debris that adhered to the wheel and improved lubrication of the tribosystem.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Post Graduate Program of Mechanical Engineering of UFUConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Fed Uberlandia, Sch Mech Engn, Uberlandia, MG, BrazilSao Paulo State Univ Julio de Mesquita Filho, Dept Mech Engn, Bauru Campus, Bauru, SP, BrazilSao Paulo State Univ Julio de Mesquita Filho, Dept Mech Engn, Bauru Campus, Bauru, SP, BrazilCAPES: 001Post Graduate Program of Mechanical Engineering of UFU: 141472/2017-0CNPq: 141472/2017-0CNPq: PQ/2016CNPq: 311337/2016CNPq: 426018/2018-4Elsevier B.V.Universidade Federal de Uberlândia (UFU)Universidade Estadual Paulista (Unesp)Ruzzi, Rodrigo de SouzaRibeiro da Silva, Leonardo RosaSilva, Rosemar Batista daSilva Junior, Washington Martins daBianchi, Eduardo Carlos [UNESP]2020-12-10T19:45:48Z2020-12-10T19:45:48Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9http://dx.doi.org/10.1016/j.triboint.2019.105962Tribology International. Oxford: Elsevier Sci Ltd, v. 141, 9 p., 2020.0301-679Xhttp://hdl.handle.net/11449/19646410.1016/j.triboint.2019.105962WOS:000505271400045Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTribology Internationalinfo:eu-repo/semantics/openAccess2024-06-28T13:54:59Zoai:repositorio.unesp.br:11449/196464Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:35:15.377170Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
title Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
spellingShingle Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
Ruzzi, Rodrigo de Souza
Topographical characterization
Grinding
Roughness parameters
MQL technique
title_short Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
title_full Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
title_fullStr Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
title_full_unstemmed Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
title_sort Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques
author Ruzzi, Rodrigo de Souza
author_facet Ruzzi, Rodrigo de Souza
Ribeiro da Silva, Leonardo Rosa
Silva, Rosemar Batista da
Silva Junior, Washington Martins da
Bianchi, Eduardo Carlos [UNESP]
author_role author
author2 Ribeiro da Silva, Leonardo Rosa
Silva, Rosemar Batista da
Silva Junior, Washington Martins da
Bianchi, Eduardo Carlos [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Uberlândia (UFU)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Ruzzi, Rodrigo de Souza
Ribeiro da Silva, Leonardo Rosa
Silva, Rosemar Batista da
Silva Junior, Washington Martins da
Bianchi, Eduardo Carlos [UNESP]
dc.subject.por.fl_str_mv Topographical characterization
Grinding
Roughness parameters
MQL technique
topic Topographical characterization
Grinding
Roughness parameters
MQL technique
description The search for more sustainable grinding processes resulted in alternative cooling-lubrication techniques, as minimum quantity lubrication (MQL). However, this shift changes the associated tribosystem and, thus, the surface topography. This work investigates the topography of SAE 4340 steel after grinding with different cooling-lubrication techniques: flood, MQL and MQL with cleaning system (MQL + CS). The topography was analyzed through several roughness parameters and SEM. The results showed that surfaces ground with the MQL and MQL + CS presented larger bearing areas and lower peaks and valleys dispersion. The MQL technique, especially the MQL + CS, also lowered the grinding wheel wear by better cleaning the wheel pores. Furthermore, the CS was efficient at removing debris that adhered to the wheel and improved lubrication of the tribosystem.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T19:45:48Z
2020-12-10T19:45:48Z
2020-01-01
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://dx.doi.org/10.1016/j.triboint.2019.105962
Tribology International. Oxford: Elsevier Sci Ltd, v. 141, 9 p., 2020.
0301-679X
http://hdl.handle.net/11449/196464
10.1016/j.triboint.2019.105962
WOS:000505271400045
url http://dx.doi.org/10.1016/j.triboint.2019.105962
http://hdl.handle.net/11449/196464
identifier_str_mv Tribology International. Oxford: Elsevier Sci Ltd, v. 141, 9 p., 2020.
0301-679X
10.1016/j.triboint.2019.105962
WOS:000505271400045
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Tribology International
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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