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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MDPI AG
2022-11-01
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Online Access: | https://www.mdpi.com/1996-1944/15/23/8436 |
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author | Mateusz Miksza Łukasz Bohdal Paweł Kałduński Radosław Patyk Leon Kukiełka |
author_facet | Mateusz Miksza Łukasz Bohdal Paweł Kałduński Radosław Patyk Leon Kukiełka |
author_sort | Mateusz Miksza |
collection | DOAJ |
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. |
first_indexed | 2024-03-09T17:43:08Z |
format | Article |
id | doaj.art-fa9cec7259634bf8a1f4b98b2d82abcd |
institution | Directory Open Access Journal |
issn | 1996-1944 |
language | English |
last_indexed | 2024-03-09T17:43:08Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
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series | Materials |
spelling | doaj.art-fa9cec7259634bf8a1f4b98b2d82abcd2023-11-24T11:28:13ZengMDPI AGMaterials1996-19442022-11-011523843610.3390/ma15238436Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat ModelMateusz Miksza0Łukasz Bohdal1Paweł Kałduński2Radosław Patyk3Leon Kukiełka4Doctoral School, Koszalin University of Technology, Śniadeckich 2 Street, 75-900 Koszalin, PolandDepartment of Mechanical Engineering, Koszalin University of Technology, Racławicka 15-17 Street, 75-620 Koszalin, PolandDepartment of Mechanical Engineering, Koszalin University of Technology, Racławicka 15-17 Street, 75-620 Koszalin, PolandDepartment of Mechanical Engineering, Koszalin University of Technology, Racławicka 15-17 Street, 75-620 Koszalin, PolandDepartment of Mechanical Engineering, Koszalin University of Technology, Racławicka 15-17 Street, 75-620 Koszalin, PolandThe 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.https://www.mdpi.com/1996-1944/15/23/8436bendingFEM analysisBarlat’s anisotropyspringbackfatiguestrain life |
spellingShingle | Mateusz Miksza Łukasz Bohdal Paweł Kałduński Radosław Patyk Leon Kukiełka Forecasting the Fatigue Strength of DC01 Cold-Formed Angles Using the Anisotropic Barlat Model Materials bending FEM analysis Barlat’s anisotropy springback fatigue strain life |
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 | bending FEM analysis Barlat’s anisotropy springback fatigue strain life |
url | https://www.mdpi.com/1996-1944/15/23/8436 |
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