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Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances

Electrochemical discharge machining (ECDM) is an emerging method for developing micro-channels in conductive or non-conductive materials. In order to machine the materials, it uses a combination of chemical and thermal energy. The tool electrode’s arrangement is crucial for channeling these energies...

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Autores principales: Rashedul, Islam Md., Zhang, Yan, Zhou, Kebing, Wang, Guoqian, Xi, Tianpeng, Ji, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466527/
https://www.ncbi.nlm.nih.gov/pubmed/34577721
http://dx.doi.org/10.3390/mi12091077
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author Rashedul, Islam Md.
Zhang, Yan
Zhou, Kebing
Wang, Guoqian
Xi, Tianpeng
Ji, Lei
author_facet Rashedul, Islam Md.
Zhang, Yan
Zhou, Kebing
Wang, Guoqian
Xi, Tianpeng
Ji, Lei
author_sort Rashedul, Islam Md.
collection PubMed
description Electrochemical discharge machining (ECDM) is an emerging method for developing micro-channels in conductive or non-conductive materials. In order to machine the materials, it uses a combination of chemical and thermal energy. The tool electrode’s arrangement is crucial for channeling these energies from the tool electrode to the work material. As a consequence, tool electrode optimization and analysis are crucial for efficiently utilizing energies during ECDM and ensuring machining accuracy. The main motive of this study is to experimentally investigate the influence of different electrode materials, namely titanium alloy (TC4), stainless steel (SS304), brass, and copper–tungsten (CuW) alloys (W70Cu30, W80Cu20, W90Cu10), on electrodes’ electrical properties, and to select an appropriate electrode in the ECDM process. The material removal rate (MRR), electrode wear ratio (EWR), overcut (OC), and surface defects are the measurements considered. The electrical conductivity and thermal conductivity of electrodes have been identified as analytical issues for optimal machining efficiency. Moreover, electrical conductivity has been shown to influence the MRR, whereas thermal conductivity has a greater impact on the EWR, as characterized by TC4, SS304, brass, and W80Cu20 electrodes. After that, comparison experiments with three CuW electrodes (W70Cu30, W80Cu20, and W90Cu10) are carried out, with the W70Cu30 electrode appearing to be the best in terms of the ECDM process. After reviewing the research outcomes, it was determined that the W70Cu30 electrode fits best in the ECDM process, with a 70 μg/s MRR, 8.1% EWR, and 0.05 mm OC. Therefore, the W70Cu30 electrode is discovered to have the best operational efficiency and productivity with performance measures in ECDM out of the six electrodes.
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spelling pubmed-84665272021-09-27 Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances Rashedul, Islam Md. Zhang, Yan Zhou, Kebing Wang, Guoqian Xi, Tianpeng Ji, Lei Micromachines (Basel) Article Electrochemical discharge machining (ECDM) is an emerging method for developing micro-channels in conductive or non-conductive materials. In order to machine the materials, it uses a combination of chemical and thermal energy. The tool electrode’s arrangement is crucial for channeling these energies from the tool electrode to the work material. As a consequence, tool electrode optimization and analysis are crucial for efficiently utilizing energies during ECDM and ensuring machining accuracy. The main motive of this study is to experimentally investigate the influence of different electrode materials, namely titanium alloy (TC4), stainless steel (SS304), brass, and copper–tungsten (CuW) alloys (W70Cu30, W80Cu20, W90Cu10), on electrodes’ electrical properties, and to select an appropriate electrode in the ECDM process. The material removal rate (MRR), electrode wear ratio (EWR), overcut (OC), and surface defects are the measurements considered. The electrical conductivity and thermal conductivity of electrodes have been identified as analytical issues for optimal machining efficiency. Moreover, electrical conductivity has been shown to influence the MRR, whereas thermal conductivity has a greater impact on the EWR, as characterized by TC4, SS304, brass, and W80Cu20 electrodes. After that, comparison experiments with three CuW electrodes (W70Cu30, W80Cu20, and W90Cu10) are carried out, with the W70Cu30 electrode appearing to be the best in terms of the ECDM process. After reviewing the research outcomes, it was determined that the W70Cu30 electrode fits best in the ECDM process, with a 70 μg/s MRR, 8.1% EWR, and 0.05 mm OC. Therefore, the W70Cu30 electrode is discovered to have the best operational efficiency and productivity with performance measures in ECDM out of the six electrodes. MDPI 2021-09-07 /pmc/articles/PMC8466527/ /pubmed/34577721 http://dx.doi.org/10.3390/mi12091077 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Rashedul, Islam Md.
Zhang, Yan
Zhou, Kebing
Wang, Guoqian
Xi, Tianpeng
Ji, Lei
Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances
title Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances
title_full Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances
title_fullStr Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances
title_full_unstemmed Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances
title_short Influence of Different Tool Electrode Materials on Electrochemical Discharge Machining Performances
title_sort influence of different tool electrode materials on electrochemical discharge machining performances
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466527/
https://www.ncbi.nlm.nih.gov/pubmed/34577721
http://dx.doi.org/10.3390/mi12091077
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