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Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy

Adhesion wear is the main wear mechanism in the dry turning of aluminium alloys. This type of wear produces an adhesion of the machining material on the cutting tool, decreasing the final surface quality of the machining parts and making it more difficult to maintain industrial tolerances. This work...

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Autores principales: Batista Ponce, Moises, Del Sol Illana, Irene, Fernandez-Vidal, Severo Raul, Salguero Gomez, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164495/
https://www.ncbi.nlm.nih.gov/pubmed/30177650
http://dx.doi.org/10.3390/ma11091598
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author Batista Ponce, Moises
Del Sol Illana, Irene
Fernandez-Vidal, Severo Raul
Salguero Gomez, Jorge
author_facet Batista Ponce, Moises
Del Sol Illana, Irene
Fernandez-Vidal, Severo Raul
Salguero Gomez, Jorge
author_sort Batista Ponce, Moises
collection PubMed
description Adhesion wear is the main wear mechanism in the dry turning of aluminium alloys. This type of wear produces an adhesion of the machining material on the cutting tool, decreasing the final surface quality of the machining parts and making it more difficult to maintain industrial tolerances. This work studies the influence of the cutting parameters on the volume of material adhered to the cutting tool surface for dry machining of AA2024 (Al-Cu). For that purpose, a specific methodology based on the automatic image processing method that can obtain the area and the thickness of the adhered material has been designed. This methodology has been verified with the results obtained through 3D analysis techniques and compared with the adhered volume. The results provided experimental parametric models for this wear mechanism. These models are analytic approximations of experimental data. The feed rate mainly results in low cutting speed, while low depths of cut presents a different behaviour due to the low contact pressure. The unstable behaviour of aluminium adhesion on the cutting tool produces a high variability of results. This continuous change introduces variation in the process caused by the continuous change of the cutting tool geometry.
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spelling pubmed-61644952018-10-12 Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy Batista Ponce, Moises Del Sol Illana, Irene Fernandez-Vidal, Severo Raul Salguero Gomez, Jorge Materials (Basel) Article Adhesion wear is the main wear mechanism in the dry turning of aluminium alloys. This type of wear produces an adhesion of the machining material on the cutting tool, decreasing the final surface quality of the machining parts and making it more difficult to maintain industrial tolerances. This work studies the influence of the cutting parameters on the volume of material adhered to the cutting tool surface for dry machining of AA2024 (Al-Cu). For that purpose, a specific methodology based on the automatic image processing method that can obtain the area and the thickness of the adhered material has been designed. This methodology has been verified with the results obtained through 3D analysis techniques and compared with the adhered volume. The results provided experimental parametric models for this wear mechanism. These models are analytic approximations of experimental data. The feed rate mainly results in low cutting speed, while low depths of cut presents a different behaviour due to the low contact pressure. The unstable behaviour of aluminium adhesion on the cutting tool produces a high variability of results. This continuous change introduces variation in the process caused by the continuous change of the cutting tool geometry. MDPI 2018-09-03 /pmc/articles/PMC6164495/ /pubmed/30177650 http://dx.doi.org/10.3390/ma11091598 Text en © 2018 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/).
spellingShingle Article
Batista Ponce, Moises
Del Sol Illana, Irene
Fernandez-Vidal, Severo Raul
Salguero Gomez, Jorge
Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy
title Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy
title_full Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy
title_fullStr Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy
title_full_unstemmed Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy
title_short Experimental Parametric Model for Adhesion Wear Measurements in the Dry Turning of an AA2024 Alloy
title_sort experimental parametric model for adhesion wear measurements in the dry turning of an aa2024 alloy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164495/
https://www.ncbi.nlm.nih.gov/pubmed/30177650
http://dx.doi.org/10.3390/ma11091598
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