Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600

In this present research work, a new modelling of energy density in EDM (Electrical Discharge Machining) is proposed. Energy density can be defined as the amount of energy needed to get a unit volume of material removed, and for its modelling, the whole EDM process has been taken into account. This...

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Detalhes bibliográficos
Autores: Torres Salcedo, Alexia, Puertas Arbizu, Ignacio, Luis Pérez, Carmelo Javier
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Recursos:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/26150
Acesso em linha:https://hdl.handle.net/2454/26150
Access Level:acceso abierto
Palavra-chave:Modelling
EDM
MRR
Roughness
Wear
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spelling Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600Torres Salcedo, AlexiaPuertas Arbizu, IgnacioLuis Pérez, Carmelo JavierModellingEDMMRRRoughnessWearIn this present research work, a new modelling of energy density in EDM (Electrical Discharge Machining) is proposed. Energy density can be defined as the amount of energy needed to get a unit volume of material removed, and for its modelling, the whole EDM process has been taken into account. This new definition lets us quantify the energy density that is being absorbed by the workpiece and the electrode. Results are compared to those obtained by die sinking EDM in an Inconel ®600 alloy using Cu-C electrodes. Currently, this material is of great interest for industrial applications in the nuclear, aeronautical and chemical sectors, due to their combinations of good mechanical properties, corrosion resistance and extreme hardness at very high temperatures. The experimental results confirm that the use of negative polarity leads to a higher material removal rate, higher electrode wear and higher surface roughness. Moreover, the optimal condition to obtain a maximum MRR (Material Removal Rate) of 30.49 mm3/min was: 8 A, 100 µs and 0.6, respectively, for the current intensity, pulse time and duty cycle.MDPIIngeniería Mecánica, Energética y de MaterialesMekanika, Energetika eta Materialen Ingeniaritza2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/26150reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglés© 2017 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.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/261502026-06-17T12:41:47Z
dc.title.none.fl_str_mv Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
title Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
spellingShingle Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
Torres Salcedo, Alexia
Modelling
EDM
MRR
Roughness
Wear
title_short Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
title_full Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
title_fullStr Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
title_full_unstemmed Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
title_sort Analytical modelling of energy density and optimization of the EDM machining parameters of Inconel 600
dc.creator.none.fl_str_mv Torres Salcedo, Alexia
Puertas Arbizu, Ignacio
Luis Pérez, Carmelo Javier
author Torres Salcedo, Alexia
author_facet Torres Salcedo, Alexia
Puertas Arbizu, Ignacio
Luis Pérez, Carmelo Javier
author_role author
author2 Puertas Arbizu, Ignacio
Luis Pérez, Carmelo Javier
author2_role author
author
dc.contributor.none.fl_str_mv Ingeniería Mecánica, Energética y de Materiales
Mekanika, Energetika eta Materialen Ingeniaritza
dc.subject.none.fl_str_mv Modelling
EDM
MRR
Roughness
Wear
topic Modelling
EDM
MRR
Roughness
Wear
description In this present research work, a new modelling of energy density in EDM (Electrical Discharge Machining) is proposed. Energy density can be defined as the amount of energy needed to get a unit volume of material removed, and for its modelling, the whole EDM process has been taken into account. This new definition lets us quantify the energy density that is being absorbed by the workpiece and the electrode. Results are compared to those obtained by die sinking EDM in an Inconel ®600 alloy using Cu-C electrodes. Currently, this material is of great interest for industrial applications in the nuclear, aeronautical and chemical sectors, due to their combinations of good mechanical properties, corrosion resistance and extreme hardness at very high temperatures. The experimental results confirm that the use of negative polarity leads to a higher material removal rate, higher electrode wear and higher surface roughness. Moreover, the optimal condition to obtain a maximum MRR (Material Removal Rate) of 30.49 mm3/min was: 8 A, 100 µs and 0.6, respectively, for the current intensity, pulse time and duty cycle.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/26150
url https://hdl.handle.net/2454/26150
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://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 MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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