Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning
Micro-alloying and thermo-mechanical treatments are crucial to the further development of high-strength and high-conductivity Cu-Cr-X alloys. In this study, a high accuracy ultimate tensile strength and electrical conductivity prediction model was obtained by training the BP neural networks with dif...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Materials & Design |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S026412752500019X |
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| author | Yunqing Zhu Yicheng Cao Lijun Peng Qian Yu Zhen Yang Zengde Li Junsheng Wu Haofeng Xie |
| author_facet | Yunqing Zhu Yicheng Cao Lijun Peng Qian Yu Zhen Yang Zengde Li Junsheng Wu Haofeng Xie |
| author_sort | Yunqing Zhu |
| collection | DOAJ |
| description | Micro-alloying and thermo-mechanical treatments are crucial to the further development of high-strength and high-conductivity Cu-Cr-X alloys. In this study, a high accuracy ultimate tensile strength and electrical conductivity prediction model was obtained by training the BP neural networks with different compositions and processing experimental data. The Cu-Cr-Zr-Mg-Ti alloy with superior properties was optimally designed by genetic algorithm from the massive solutions, which the experimental tensile strength and conductivity reached 668 MPa and 71.5 %IACS, respectively. The atom probe tomography results show that Zr, Mg, and Ti simultaneously segregated in the Cr-rich phase after aging at 440 °C for 480 h, which significantly improves the stability of the precipitated Cr phase and inhibited the Cr-rich phase transition from fcc to bcc structure. With the increase of aging temperature, the bcc structure Cr phase gradually replaces the fine fcc-Cr phase and exhibited a higher coarsening rate. It was found that the addition of Zr tends to nucleation at the interface of the K-S orientation relationship (OR) bcc-Cr phases. The Cu5Zr phase maintains the (1¯13)Cu5Zr//(01¯1)Cr and [011]Cu5Zr//[111]Cr ORs with the bcc structure Cr precipitates. The evolution of microstructure and properties exhibited a narrow aging process region of 80 % cold-rolled Cu-Cr-Zr-Mg-Ti alloy, while the consistent results from prediction model provide a favorable guidance for process designs. The outstanding performance enhancement and rapid prediction of process scopes leads us to recognise that the great potential of multi-objective machine-learning-aid design in the complex composition and process problems. |
| format | Article |
| id | doaj-art-3302716ded7944658560ef3ff2b59786 |
| institution | Kabale University |
| issn | 0264-1275 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj-art-3302716ded7944658560ef3ff2b597862025-01-16T04:28:19ZengElsevierMaterials & Design0264-12752025-02-01250113599Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learningYunqing Zhu0Yicheng Cao1Lijun Peng2Qian Yu3Zhen Yang4Zengde Li5Junsheng Wu6Haofeng Xie7State Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China; General Research Institute for Nonferrous Metals, Beijing 100088, ChinaState Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, ChinaState Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China; Corresponding authors at: State Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China (L. Peng and H. Xie).State Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China; General Research Institute for Nonferrous Metals, Beijing 100088, ChinaState Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, ChinaState Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, ChinaInstitute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, ChinaState Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China; GRIMAT Engineering Institute Co., Ltd., Beijing 101407, China; Corresponding authors at: State Key Laboratory of Nonferrous Metals and Processes, GRIMN Group Co., Ltd., Beijing 100088, China (L. Peng and H. Xie).Micro-alloying and thermo-mechanical treatments are crucial to the further development of high-strength and high-conductivity Cu-Cr-X alloys. In this study, a high accuracy ultimate tensile strength and electrical conductivity prediction model was obtained by training the BP neural networks with different compositions and processing experimental data. The Cu-Cr-Zr-Mg-Ti alloy with superior properties was optimally designed by genetic algorithm from the massive solutions, which the experimental tensile strength and conductivity reached 668 MPa and 71.5 %IACS, respectively. The atom probe tomography results show that Zr, Mg, and Ti simultaneously segregated in the Cr-rich phase after aging at 440 °C for 480 h, which significantly improves the stability of the precipitated Cr phase and inhibited the Cr-rich phase transition from fcc to bcc structure. With the increase of aging temperature, the bcc structure Cr phase gradually replaces the fine fcc-Cr phase and exhibited a higher coarsening rate. It was found that the addition of Zr tends to nucleation at the interface of the K-S orientation relationship (OR) bcc-Cr phases. The Cu5Zr phase maintains the (1¯13)Cu5Zr//(01¯1)Cr and [011]Cu5Zr//[111]Cr ORs with the bcc structure Cr precipitates. The evolution of microstructure and properties exhibited a narrow aging process region of 80 % cold-rolled Cu-Cr-Zr-Mg-Ti alloy, while the consistent results from prediction model provide a favorable guidance for process designs. The outstanding performance enhancement and rapid prediction of process scopes leads us to recognise that the great potential of multi-objective machine-learning-aid design in the complex composition and process problems.http://www.sciencedirect.com/science/article/pii/S026412752500019XMachine learningCu-Cr-X alloyThermo-mechanical treatmentTensile strengthElectrical conductivity |
| spellingShingle | Yunqing Zhu Yicheng Cao Lijun Peng Qian Yu Zhen Yang Zengde Li Junsheng Wu Haofeng Xie Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning Materials & Design Machine learning Cu-Cr-X alloy Thermo-mechanical treatment Tensile strength Electrical conductivity |
| title | Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning |
| title_full | Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning |
| title_fullStr | Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning |
| title_full_unstemmed | Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning |
| title_short | Design of a novel Cu-Cr-X alloy with high strength and high electrical conductivity based on mechanical learning |
| title_sort | design of a novel cu cr x alloy with high strength and high electrical conductivity based on mechanical learning |
| topic | Machine learning Cu-Cr-X alloy Thermo-mechanical treatment Tensile strength Electrical conductivity |
| url | http://www.sciencedirect.com/science/article/pii/S026412752500019X |
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