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Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications

The influence of cutting forces during the machining of titanium alloys has attained prime attention in selecting the optimal cutting conditions to improve the surface integrity of medical implants and biomedical devices. So far, it has not been easy to explain the chip morphology of Ti6Al4V and the...

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Autores principales: Saleem, Waqas, Salah, Bashir, Velay, Xavier, Ahmad, Rafiq, Khan, Razaullah, Pruncu, Catalin I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699563/
https://www.ncbi.nlm.nih.gov/pubmed/33228158
http://dx.doi.org/10.3390/ma13225236
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author Saleem, Waqas
Salah, Bashir
Velay, Xavier
Ahmad, Rafiq
Khan, Razaullah
Pruncu, Catalin I.
author_facet Saleem, Waqas
Salah, Bashir
Velay, Xavier
Ahmad, Rafiq
Khan, Razaullah
Pruncu, Catalin I.
author_sort Saleem, Waqas
collection PubMed
description The influence of cutting forces during the machining of titanium alloys has attained prime attention in selecting the optimal cutting conditions to improve the surface integrity of medical implants and biomedical devices. So far, it has not been easy to explain the chip morphology of Ti6Al4V and the thermo-mechanical interactions involved during the cutting process. This paper investigates the chip configuration of the Ti6Al4V alloy under dry milling conditions at a macro and micro scale by employing the Johnson-Cook material damage model. 2D modeling, numerical milling simulations, and post-processing were conducted using the Abaqus/Explicit commercial software. The uncut chip geometry was modeled with variable thicknesses to accomplish the macro to micro-scale cutting by adapting a trochoidal path. Numerical results, predicted for the cutting reaction forces and shearing zone temperatures, were found in close approximation to experimental ones with minor deviations. Further analyses evaluated the influence of cutting speeds and contact friction coefficients over the chip flow stress, equivalent plastic strain, and chip morphology. The methodology developed can be implemented in resolving the industrial problems in the biomedical sector for predicting the chip morphology of the Ti6Al4V alloy, fracture mechanisms of hard-to-cut materials, and the effects of different cutting parameters on workpiece integrity.
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spelling pubmed-76995632020-11-29 Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications Saleem, Waqas Salah, Bashir Velay, Xavier Ahmad, Rafiq Khan, Razaullah Pruncu, Catalin I. Materials (Basel) Article The influence of cutting forces during the machining of titanium alloys has attained prime attention in selecting the optimal cutting conditions to improve the surface integrity of medical implants and biomedical devices. So far, it has not been easy to explain the chip morphology of Ti6Al4V and the thermo-mechanical interactions involved during the cutting process. This paper investigates the chip configuration of the Ti6Al4V alloy under dry milling conditions at a macro and micro scale by employing the Johnson-Cook material damage model. 2D modeling, numerical milling simulations, and post-processing were conducted using the Abaqus/Explicit commercial software. The uncut chip geometry was modeled with variable thicknesses to accomplish the macro to micro-scale cutting by adapting a trochoidal path. Numerical results, predicted for the cutting reaction forces and shearing zone temperatures, were found in close approximation to experimental ones with minor deviations. Further analyses evaluated the influence of cutting speeds and contact friction coefficients over the chip flow stress, equivalent plastic strain, and chip morphology. The methodology developed can be implemented in resolving the industrial problems in the biomedical sector for predicting the chip morphology of the Ti6Al4V alloy, fracture mechanisms of hard-to-cut materials, and the effects of different cutting parameters on workpiece integrity. MDPI 2020-11-19 /pmc/articles/PMC7699563/ /pubmed/33228158 http://dx.doi.org/10.3390/ma13225236 Text en © 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/).
spellingShingle Article
Saleem, Waqas
Salah, Bashir
Velay, Xavier
Ahmad, Rafiq
Khan, Razaullah
Pruncu, Catalin I.
Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications
title Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications
title_full Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications
title_fullStr Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications
title_full_unstemmed Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications
title_short Numerical Modeling and Analysis of Ti6Al4V Alloy Chip for Biomedical Applications
title_sort numerical modeling and analysis of ti6al4v alloy chip for biomedical applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699563/
https://www.ncbi.nlm.nih.gov/pubmed/33228158
http://dx.doi.org/10.3390/ma13225236
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