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...

Full description

Bibliographic Details
Main Authors: Mateusz Miksza, Łukasz Bohdal, Paweł Kałduński, Radosław Patyk, Leon Kukiełka
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/15/23/8436
_version_ 1797462904252923904
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
record_format Article
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
work_keys_str_mv AT mateuszmiksza forecastingthefatiguestrengthofdc01coldformedanglesusingtheanisotropicbarlatmodel
AT łukaszbohdal forecastingthefatiguestrengthofdc01coldformedanglesusingtheanisotropicbarlatmodel
AT pawełkałdunski forecastingthefatiguestrengthofdc01coldformedanglesusingtheanisotropicbarlatmodel
AT radosławpatyk forecastingthefatiguestrengthofdc01coldformedanglesusingtheanisotropicbarlatmodel
AT leonkukiełka forecastingthefatiguestrengthofdc01coldformedanglesusingtheanisotropicbarlatmodel