Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming
In this paper, the uniaxial loading−unloading−reloading (LUR) tensile test was conducted to determine the elastic modulus depending on the plastic pre-strain. To obtain the material parameters and parameter of Yoshida-Uemori’s kinematic hardening models, tensionW...
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MDPI AG
2019-09-01
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Online Access: | https://www.mdpi.com/2075-4701/9/9/1005 |
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author | Jihad Naofal Hassan Moslemi Naeini Siamak Mazdak |
author_facet | Jihad Naofal Hassan Moslemi Naeini Siamak Mazdak |
author_sort | Jihad Naofal |
collection | DOAJ |
description | In this paper, the uniaxial loading−unloading−reloading (LUR) tensile test was conducted to determine the elastic modulus depending on the plastic pre-strain. To obtain the material parameters and parameter of Yoshida-Uemori’s kinematic hardening models, tension−compression experiments were carried out. The experimental results of the cyclic loading tests together with the numerically predicted response of the plastic behavior were utilized to determine the parameters using the Ls-opt optimization tool. The springback phenomenon is a critical issue in industrial sheet metal forming processes, which could affect the quality of the product. Therefore, it is necessary to represent a method to predict the springback. To achieve this aim, the calibrated plasticity models based on appropriate tests (cyclic loading) were implemented in commercial finite element (FE) code Ls-dyna to predict the springback in the roll forming process. Moreover, appropriate experimental tests were performed to validate the numerical results, which were obtained by the proposed model. The results showed that the hardening models and the variation of elastic modulus have significant impact on springback accuracy. The Yoshida-Uemori’s hardening represents more accurate prediction of the springback during the roll forming process when compared to isotropic hardening. Using the chord modulus to determine the reduction in elastic modulus gave more accurate results to predict springback when compared with the unloading and loading modulus to both hardening models. |
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spelling | doaj.art-789cba92dbf94f1a89a342c76c0742092022-12-22T00:52:22ZengMDPI AGMetals2075-47012019-09-0199100510.3390/met9091005met9091005Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll FormingJihad Naofal0Hassan Moslemi Naeini1Siamak Mazdak2Mechanical Engineering faculty, Tarbiat Modares University, Tehran 14115-111, IranMechanical Engineering faculty, Tarbiat Modares University, Tehran 14115-111, IranEngineering faculty, Tafresh University, Tafresh 39518-79611, IranIn this paper, the uniaxial loading−unloading−reloading (LUR) tensile test was conducted to determine the elastic modulus depending on the plastic pre-strain. To obtain the material parameters and parameter of Yoshida-Uemori’s kinematic hardening models, tension−compression experiments were carried out. The experimental results of the cyclic loading tests together with the numerically predicted response of the plastic behavior were utilized to determine the parameters using the Ls-opt optimization tool. The springback phenomenon is a critical issue in industrial sheet metal forming processes, which could affect the quality of the product. Therefore, it is necessary to represent a method to predict the springback. To achieve this aim, the calibrated plasticity models based on appropriate tests (cyclic loading) were implemented in commercial finite element (FE) code Ls-dyna to predict the springback in the roll forming process. Moreover, appropriate experimental tests were performed to validate the numerical results, which were obtained by the proposed model. The results showed that the hardening models and the variation of elastic modulus have significant impact on springback accuracy. The Yoshida-Uemori’s hardening represents more accurate prediction of the springback during the roll forming process when compared to isotropic hardening. Using the chord modulus to determine the reduction in elastic modulus gave more accurate results to predict springback when compared with the unloading and loading modulus to both hardening models.https://www.mdpi.com/2075-4701/9/9/1005roll formingspringbackhardening modelYoshida-Uemori’s kinematic |
spellingShingle | Jihad Naofal Hassan Moslemi Naeini Siamak Mazdak Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming Metals roll forming springback hardening model Yoshida-Uemori’s kinematic |
title | Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming |
title_full | Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming |
title_fullStr | Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming |
title_full_unstemmed | Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming |
title_short | Effects of Hardening Model and Variation of Elastic Modulus on Springback Prediction in Roll Forming |
title_sort | effects of hardening model and variation of elastic modulus on springback prediction in roll forming |
topic | roll forming springback hardening model Yoshida-Uemori’s kinematic |
url | https://www.mdpi.com/2075-4701/9/9/1005 |
work_keys_str_mv | AT jihadnaofal effectsofhardeningmodelandvariationofelasticmodulusonspringbackpredictioninrollforming AT hassanmosleminaeini effectsofhardeningmodelandvariationofelasticmodulusonspringbackpredictioninrollforming AT siamakmazdak effectsofhardeningmodelandvariationofelasticmodulusonspringbackpredictioninrollforming |