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Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model
The objective of this work is to present the numerical simulation of the air-bending process of DC01 steel. There are plenty of works concerned with assessing the springback phenomenon in the bending process also using anisotropic material models (Hill’s model is widely used). However, very few rece...
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/PMC9740389/ https://www.ncbi.nlm.nih.gov/pubmed/36499932 http://dx.doi.org/10.3390/ma15238436 |
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author | Miksza, Mateusz Bohdal, Łukasz Kałduński, Paweł Patyk, Radosław Kukiełka, Leon |
author_facet | Miksza, Mateusz Bohdal, Łukasz Kałduński, Paweł Patyk, Radosław Kukiełka, Leon |
author_sort | Miksza, Mateusz |
collection | PubMed |
description | The objective of this work is to present the numerical simulation of the air-bending process of DC01 steel. There are plenty of works concerned with assessing the springback phenomenon in the bending process also using anisotropic material models (Hill’s model is widely used). However, very few recent publications are concerned about the fatigue life assessment of bent products. As ensuring the proper fatigue resistance of products is vital for increasing safety and widening the service intervals there is certainly a need to perform investigations in this field. In this work, the air bending simulation of anisotropic DC01 steel with the usage of Barlat’s plastic anisotropy model was presented. Together with springback analysis and the equivalent plastic strain cumulation during incremental bending. Strain cumulation is believed to be an important factor in predicting fatigue life. It was shown that the strain development rate depends on the bending process parameters, especially from the bending line orientation to the sheet rolling direction. |
format | Online Article Text |
id | pubmed-9740389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97403892022-12-11 Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model Miksza, Mateusz Bohdal, Łukasz Kałduński, Paweł Patyk, Radosław Kukiełka, Leon Materials (Basel) Article The objective of this work is to present the numerical simulation of the air-bending process of DC01 steel. There are plenty of works concerned with assessing the springback phenomenon in the bending process also using anisotropic material models (Hill’s model is widely used). However, very few recent publications are concerned about the fatigue life assessment of bent products. As ensuring the proper fatigue resistance of products is vital for increasing safety and widening the service intervals there is certainly a need to perform investigations in this field. In this work, the air bending simulation of anisotropic DC01 steel with the usage of Barlat’s plastic anisotropy model was presented. Together with springback analysis and the equivalent plastic strain cumulation during incremental bending. Strain cumulation is believed to be an important factor in predicting fatigue life. It was shown that the strain development rate depends on the bending process parameters, especially from the bending line orientation to the sheet rolling direction. MDPI 2022-11-26 /pmc/articles/PMC9740389/ /pubmed/36499932 http://dx.doi.org/10.3390/ma15238436 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 Miksza, Mateusz Bohdal, Łukasz Kałduński, Paweł Patyk, Radosław Kukiełka, Leon Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model |
title | Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model |
title_full | Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model |
title_fullStr | Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model |
title_full_unstemmed | Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model |
title_short | Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model |
title_sort | forecasting the fatigue strength of dc01 cold-formed angles using the anisotropic barlat model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740389/ https://www.ncbi.nlm.nih.gov/pubmed/36499932 http://dx.doi.org/10.3390/ma15238436 |
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