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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...

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Autores principales: Miksza, Mateusz, Bohdal, Łukasz, Kałduński, Paweł, Patyk, Radosław, Kukiełka, Leon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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