Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution
Electrical current can effectively improve the plasticity of metallic materials. The tensile deformation behavior of Al alloys under the pulsed electrical current assisted quasi-static unidirectional tension (EAT) has been investigated. Materials under the EAT exhibits periodic electro-softening and...
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Elsevier
2024-11-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424022439 |
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| author | Yanli Song Long Chen Chuanchuan Hao Lin Hua Hainan Xu Jue Lu Zhongmei Wang Jianguo Lin Yanxiong Liu Lechun Xie |
| author_facet | Yanli Song Long Chen Chuanchuan Hao Lin Hua Hainan Xu Jue Lu Zhongmei Wang Jianguo Lin Yanxiong Liu Lechun Xie |
| author_sort | Yanli Song |
| collection | DOAJ |
| description | Electrical current can effectively improve the plasticity of metallic materials. The tensile deformation behavior of Al alloys under the pulsed electrical current assisted quasi-static unidirectional tension (EAT) has been investigated. Materials under the EAT exhibits periodic electro-softening and strain-hardening behaviors, i.e., a ratchet shape mechanical response. However, establishing a constitutive model to accurately predict the ratchet shape mechanical behavior, especially during the EAT interval, and accurately predicting the strain-hardening behavior of materials are critical issues that need to be solved urgently. In this study, based on the Taylor polycrystalline model, thermal activation theory and dislocation density evolution theory, a two-parameter dislocation density electroplasticity constitutive model with forward and reverse dislocation density evolution was developed to describe the periodic coupling effect of the electro-thermal-mechanical fields during EAT. The tensile deformation behaviors of AA 6061-T6 and AA 7075-T6 under the effect of a pulsed electrical current were quantitatively predicted using the proposed constitutive model. The results show that the correlation coefficient between the predicted and experimental results of the constitutive model can reach 0.84–0.99, implying that the proposed constitutive model can accurately predict the complex electroplasticity behavior of Al alloys during EAT. |
| format | Article |
| id | doaj-art-27d2b975c27d4d84ba6e6b92e1fd323f |
| institution | DOAJ |
| issn | 2238-7854 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-27d2b975c27d4d84ba6e6b92e1fd323f2025-08-20T02:39:15ZengElsevierJournal of Materials Research and Technology2238-78542024-11-01333501351710.1016/j.jmrt.2024.09.238Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolutionYanli Song0Long Chen1Chuanchuan Hao2Lin Hua3Hainan Xu4Jue Lu5Zhongmei Wang6Jianguo Lin7Yanxiong Liu8Lechun Xie9Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, China; Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, 430070, China; Corresponding author. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China.Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, China; Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, 430070, China; Corresponding author. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China.Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, China; Corresponding author. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China.Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, ChinaDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, China; Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, 430070, ChinaHubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, 430070, China; Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, 430070, ChinaElectrical current can effectively improve the plasticity of metallic materials. The tensile deformation behavior of Al alloys under the pulsed electrical current assisted quasi-static unidirectional tension (EAT) has been investigated. Materials under the EAT exhibits periodic electro-softening and strain-hardening behaviors, i.e., a ratchet shape mechanical response. However, establishing a constitutive model to accurately predict the ratchet shape mechanical behavior, especially during the EAT interval, and accurately predicting the strain-hardening behavior of materials are critical issues that need to be solved urgently. In this study, based on the Taylor polycrystalline model, thermal activation theory and dislocation density evolution theory, a two-parameter dislocation density electroplasticity constitutive model with forward and reverse dislocation density evolution was developed to describe the periodic coupling effect of the electro-thermal-mechanical fields during EAT. The tensile deformation behaviors of AA 6061-T6 and AA 7075-T6 under the effect of a pulsed electrical current were quantitatively predicted using the proposed constitutive model. The results show that the correlation coefficient between the predicted and experimental results of the constitutive model can reach 0.84–0.99, implying that the proposed constitutive model can accurately predict the complex electroplasticity behavior of Al alloys during EAT.http://www.sciencedirect.com/science/article/pii/S2238785424022439ElectroplasticityConstitutive modelAluminum alloyRatchet shape mechanical behaviorDislocation density evolution |
| spellingShingle | Yanli Song Long Chen Chuanchuan Hao Lin Hua Hainan Xu Jue Lu Zhongmei Wang Jianguo Lin Yanxiong Liu Lechun Xie Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution Journal of Materials Research and Technology Electroplasticity Constitutive model Aluminum alloy Ratchet shape mechanical behavior Dislocation density evolution |
| title | Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution |
| title_full | Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution |
| title_fullStr | Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution |
| title_full_unstemmed | Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution |
| title_short | Electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution |
| title_sort | electroplasticity constitutive modeling of aluminum alloys based on dislocation density evolution |
| topic | Electroplasticity Constitutive model Aluminum alloy Ratchet shape mechanical behavior Dislocation density evolution |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424022439 |
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