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3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out
Understanding the micro milling phenomena involved in the process is critical and difficult through physical experiments. This study presents a 3D finite element modeling (3D FEM) approach for the micro end-milling process on Al6082-T6. The proposed model employs a Lagrangian explicit finite element...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190088/ http://dx.doi.org/10.3390/mi8060187 |
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author | Davoudinejad, Ali Tosello, Guido Parenti, Paolo Annoni, Massimiliano |
author_facet | Davoudinejad, Ali Tosello, Guido Parenti, Paolo Annoni, Massimiliano |
author_sort | Davoudinejad, Ali |
collection | PubMed |
description | Understanding the micro milling phenomena involved in the process is critical and difficult through physical experiments. This study presents a 3D finite element modeling (3D FEM) approach for the micro end-milling process on Al6082-T6. The proposed model employs a Lagrangian explicit finite element formulation to perform coupled thermo-mechanical transient analyses. FE simulations were performed at different cutting conditions to obtain realistic numerical predictions of chip formation, temperature distribution, and cutting forces by considering the effect of tool run-out in the model. The radial run-out is a significant issue in micro milling processes and influences the cutting stability due to chip load and force variations. The Johnson–Cook (JC) material constitutive model was applied and its constants were determined by an inverse method based on the experimental cutting forces acquired during the micro end-milling tests. The FE model prediction capability was validated by comparing the numerical model results with experimental tests. The maximum tool temperature was predicted in a different angular position of the cutter which is difficult or impossible to obtain in experiments. The predicted results of the model, involving the run-out influence, showed a good correlation with experimental chip formation and the signal shape of cutting forces. |
format | Online Article Text |
id | pubmed-6190088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61900882018-11-01 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out Davoudinejad, Ali Tosello, Guido Parenti, Paolo Annoni, Massimiliano Micromachines (Basel) Article Understanding the micro milling phenomena involved in the process is critical and difficult through physical experiments. This study presents a 3D finite element modeling (3D FEM) approach for the micro end-milling process on Al6082-T6. The proposed model employs a Lagrangian explicit finite element formulation to perform coupled thermo-mechanical transient analyses. FE simulations were performed at different cutting conditions to obtain realistic numerical predictions of chip formation, temperature distribution, and cutting forces by considering the effect of tool run-out in the model. The radial run-out is a significant issue in micro milling processes and influences the cutting stability due to chip load and force variations. The Johnson–Cook (JC) material constitutive model was applied and its constants were determined by an inverse method based on the experimental cutting forces acquired during the micro end-milling tests. The FE model prediction capability was validated by comparing the numerical model results with experimental tests. The maximum tool temperature was predicted in a different angular position of the cutter which is difficult or impossible to obtain in experiments. The predicted results of the model, involving the run-out influence, showed a good correlation with experimental chip formation and the signal shape of cutting forces. MDPI 2017-06-16 /pmc/articles/PMC6190088/ http://dx.doi.org/10.3390/mi8060187 Text en © 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Davoudinejad, Ali Tosello, Guido Parenti, Paolo Annoni, Massimiliano 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out |
title | 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out |
title_full | 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out |
title_fullStr | 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out |
title_full_unstemmed | 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out |
title_short | 3D Finite Element Simulation of Micro End-Milling by Considering the Effect of Tool Run-Out |
title_sort | 3d finite element simulation of micro end-milling by considering the effect of tool run-out |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190088/ http://dx.doi.org/10.3390/mi8060187 |
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