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Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model
To determine the Gurson-Tvergaard-Needleman (GTN)damage model parameters of 6061 aluminum alloy after secondary heat treatment, the uniaxial tensile test was carried out on the aluminum alloy circular arc specimen, and the mechanical properties parameters and the load-displacement curve of aluminum...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101003/ https://www.ncbi.nlm.nih.gov/pubmed/35591544 http://dx.doi.org/10.3390/ma15093212 |
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author | Ding, Fengjuan Hong, Tengjiao Xu, Youlin Jia, Xiangdong |
author_facet | Ding, Fengjuan Hong, Tengjiao Xu, Youlin Jia, Xiangdong |
author_sort | Ding, Fengjuan |
collection | PubMed |
description | To determine the Gurson-Tvergaard-Needleman (GTN)damage model parameters of 6061 aluminum alloy after secondary heat treatment, the uniaxial tensile test was carried out on the aluminum alloy circular arc specimen, and the mechanical properties parameters and the load-displacement curve of aluminum alloy tube were obtained. With the help of the finite element reverse method, scanning electron microscope and a orthogonal test method, the GTN damage model parameters (f(0), f(N), f(C), and f(F)) were calibrated, and their values were 0.004535, 0.04, 0.1, and 0.2135, respectively. Then the shear specimen and notch specimen were designed to verify the damage model, the results show that the obtained GTN damage model parameters can effectively predict the fracture failure of 6061 aluminum alloy after secondary heat treatment during the tensile process. |
format | Online Article Text |
id | pubmed-9101003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91010032022-05-14 Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model Ding, Fengjuan Hong, Tengjiao Xu, Youlin Jia, Xiangdong Materials (Basel) Article To determine the Gurson-Tvergaard-Needleman (GTN)damage model parameters of 6061 aluminum alloy after secondary heat treatment, the uniaxial tensile test was carried out on the aluminum alloy circular arc specimen, and the mechanical properties parameters and the load-displacement curve of aluminum alloy tube were obtained. With the help of the finite element reverse method, scanning electron microscope and a orthogonal test method, the GTN damage model parameters (f(0), f(N), f(C), and f(F)) were calibrated, and their values were 0.004535, 0.04, 0.1, and 0.2135, respectively. Then the shear specimen and notch specimen were designed to verify the damage model, the results show that the obtained GTN damage model parameters can effectively predict the fracture failure of 6061 aluminum alloy after secondary heat treatment during the tensile process. MDPI 2022-04-29 /pmc/articles/PMC9101003/ /pubmed/35591544 http://dx.doi.org/10.3390/ma15093212 Text en © 2022 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 Ding, Fengjuan Hong, Tengjiao Xu, Youlin Jia, Xiangdong Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model |
title | Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model |
title_full | Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model |
title_fullStr | Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model |
title_full_unstemmed | Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model |
title_short | Prediction of Fracture Behavior of 6061 Aluminum Alloy Based on GTN Model |
title_sort | prediction of fracture behavior of 6061 aluminum alloy based on gtn model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101003/ https://www.ncbi.nlm.nih.gov/pubmed/35591544 http://dx.doi.org/10.3390/ma15093212 |
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