Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels

This paper presents a new model that relates thermal aspects with process kinematics in face grinding applications with straight wheels. Changes in chip thickness along the contact area were considered in the model, which allows for taking into account local thermal effects. The model was validated...

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Detalles Bibliográficos
Autores: Urgoiti, Lander, Barrenetxea Azpeitia, David, Sánchez Galíndez, José Antonio, Lanzagorta, José Luis
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/43413
Acceso en línea:http://hdl.handle.net/10810/43413
Access Level:acceso abierto
Palabra clave:manufacturing
grinding
modelling
temperature-simulation
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spelling Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight WheelsUrgoiti, LanderBarrenetxea Azpeitia, DavidSánchez Galíndez, José AntonioLanzagorta, José Luismanufacturinggrindingmodellingtemperature-simulationThis paper presents a new model that relates thermal aspects with process kinematics in face grinding applications with straight wheels. Changes in chip thickness along the contact area were considered in the model, which allows for taking into account local thermal effects. The model was validated through grinding tests conducted with conventional alumina wheels. Power signals were used as input for the model. Thermal damage on the ground surface was detected using eddy current technology and revealed by acid etching. Both the model and experimental findings provide the basis for developing an approach for process optimization.The authors gratefully acknowledge the funding support received from: Spanish Ministry of Economy and Competitiveness and the FEDER operation program for funding the project “Scientific models and machine-tool advanced sensing techniques for efficient machining of precision components of Low-Pressure Turbines” (DPI2017-82239-P). The Basque Government and ELKARTEK program for funding the project “Data and knowledge-based high value processes” (KK-2019/00004). CDTI-Ayudas Cervera para Centros Tecnológicos for funding the project "MIRAGED: POSICIONAMIENTO ESTRATÉGICO EN MODELOS VIRTUALES Y GEMELOS DIGITALES PARA UNA INDUSTRIA 4.0”.MDPI2020202020202020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/43413reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MINECO/DPI2017-82239-P/https://www.mdpi.com/2075-4701/10/4/524/htminfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).oai:addi.ehu.eus:10810/434132026-06-18T09:23:17Z
dc.title.none.fl_str_mv Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
title Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
spellingShingle Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
Urgoiti, Lander
manufacturing
grinding
modelling
temperature-simulation
title_short Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
title_full Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
title_fullStr Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
title_full_unstemmed Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
title_sort Detailed Thermo-Kinematic Analysis of Face Grinding Operations with Straight Wheels
dc.creator.none.fl_str_mv Urgoiti, Lander
Barrenetxea Azpeitia, David
Sánchez Galíndez, José Antonio
Lanzagorta, José Luis
author Urgoiti, Lander
author_facet Urgoiti, Lander
Barrenetxea Azpeitia, David
Sánchez Galíndez, José Antonio
Lanzagorta, José Luis
author_role author
author2 Barrenetxea Azpeitia, David
Sánchez Galíndez, José Antonio
Lanzagorta, José Luis
author2_role author
author
author
dc.subject.none.fl_str_mv manufacturing
grinding
modelling
temperature-simulation
topic manufacturing
grinding
modelling
temperature-simulation
description This paper presents a new model that relates thermal aspects with process kinematics in face grinding applications with straight wheels. Changes in chip thickness along the contact area were considered in the model, which allows for taking into account local thermal effects. The model was validated through grinding tests conducted with conventional alumina wheels. Power signals were used as input for the model. Thermal damage on the ground surface was detected using eddy current technology and revealed by acid etching. Both the model and experimental findings provide the basis for developing an approach for process optimization.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/43413
url http://hdl.handle.net/10810/43413
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO/DPI2017-82239-P/
https://www.mdpi.com/2075-4701/10/4/524/htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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