Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning
SiCp/Al composite materials are widely used due to their lightweight and high strength. There is no systematic study on the effect of variation of Cu content on the mechanical properties of composites. In order to study the effect of Cu content on the properties of composites, SiCp/Al composites wit...
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| Format: | Article |
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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/S2238785424022075 |
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| author | Wei Yang Yiwei Wang Xiaozhong Huang Shuhong Liu Peisheng Wang Yong Du |
| author_facet | Wei Yang Yiwei Wang Xiaozhong Huang Shuhong Liu Peisheng Wang Yong Du |
| author_sort | Wei Yang |
| collection | DOAJ |
| description | SiCp/Al composite materials are widely used due to their lightweight and high strength. There is no systematic study on the effect of variation of Cu content on the mechanical properties of composites. In order to study the effect of Cu content on the properties of composites, SiCp/Al composites with Cu content of 0.35–4 wt% were designed and prepared with the assistance of the CALPHAD method. The samples were sintered between 570 and 620 °C. The microstructures and mechanical properties of the composites were systematically studied. The results show that the sample with a Cu content of 2.45 wt% and a sintering temperature of 590 °C achieved a maximum tensile strength of 314 MPa, which is different from the Cu composition widely used in the literature. For practical use, the relationship between the optimum sintering temperature and the Cu content, liquidus temperature and solidus temperature was studied. In order to explore ingredients with better performance, machine learning was applied. The database containing information including material compositions, preparation process, and mechanical properties was constructed, and then four machine learning models were applied to establish the quantitative relationship of ''component-process-performance'' in SiCp/Al composite materials. The RFReg model was selected as the best model and used to design the composition and process parameters of the composite alloy. A new composite was designed by the machine learning models. The sintered tensile strength was 349 MPa, and the strength reached 561 MPa after hot pressing and heat treatment. |
| format | Article |
| id | doaj-art-62873bdf43e54e079101ac686ed0d7c2 |
| institution | OA Journals |
| issn | 2238-7854 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-62873bdf43e54e079101ac686ed0d7c22025-08-20T02:39:08ZengElsevierJournal of Materials Research and Technology2238-78542024-11-01332216222510.1016/j.jmrt.2024.09.202Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learningWei Yang0Yiwei Wang1Xiaozhong Huang2Shuhong Liu3Peisheng Wang4Yong Du5Hunan Key Laboratory of Advanced Fibers and Composites, Central South University, 410083, Changsha, PR China; State Key Laboratory of Powder Metallurgy, Central South University, Hunan, PR ChinaHunan Boxiang New Materials Ltd, Hunan, PR ChinaHunan Key Laboratory of Advanced Fibers and Composites, Central South University, 410083, Changsha, PR China; State Key Laboratory of Powder Metallurgy, Central South University, Hunan, PR ChinaState Key Laboratory of Powder Metallurgy, Central South University, Hunan, PR ChinaHunan Key Laboratory of Advanced Fibers and Composites, Central South University, 410083, Changsha, PR China; State Key Laboratory of Powder Metallurgy, Central South University, Hunan, PR China; Corresponding author. Hunan Key Laboratory of Advanced Fibers and Composites, Central South University, 410083, Changsha, PR China.State Key Laboratory of Powder Metallurgy, Central South University, Hunan, PR ChinaSiCp/Al composite materials are widely used due to their lightweight and high strength. There is no systematic study on the effect of variation of Cu content on the mechanical properties of composites. In order to study the effect of Cu content on the properties of composites, SiCp/Al composites with Cu content of 0.35–4 wt% were designed and prepared with the assistance of the CALPHAD method. The samples were sintered between 570 and 620 °C. The microstructures and mechanical properties of the composites were systematically studied. The results show that the sample with a Cu content of 2.45 wt% and a sintering temperature of 590 °C achieved a maximum tensile strength of 314 MPa, which is different from the Cu composition widely used in the literature. For practical use, the relationship between the optimum sintering temperature and the Cu content, liquidus temperature and solidus temperature was studied. In order to explore ingredients with better performance, machine learning was applied. The database containing information including material compositions, preparation process, and mechanical properties was constructed, and then four machine learning models were applied to establish the quantitative relationship of ''component-process-performance'' in SiCp/Al composite materials. The RFReg model was selected as the best model and used to design the composition and process parameters of the composite alloy. A new composite was designed by the machine learning models. The sintered tensile strength was 349 MPa, and the strength reached 561 MPa after hot pressing and heat treatment.http://www.sciencedirect.com/science/article/pii/S2238785424022075SiCp/AlComposite materialsMachine learningAlloy designCALPHAD |
| spellingShingle | Wei Yang Yiwei Wang Xiaozhong Huang Shuhong Liu Peisheng Wang Yong Du Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning Journal of Materials Research and Technology SiCp/Al Composite materials Machine learning Alloy design CALPHAD |
| title | Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning |
| title_full | Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning |
| title_fullStr | Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning |
| title_full_unstemmed | Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning |
| title_short | Effects of Cu content and Sintering temperature on microstructure and mechanical properties of SiCp/Al-Cu-Mg composites through experimental study, CALPHAD-type simulation and machine learning |
| title_sort | effects of cu content and sintering temperature on microstructure and mechanical properties of sicp al cu mg composites through experimental study calphad type simulation and machine learning |
| topic | SiCp/Al Composite materials Machine learning Alloy design CALPHAD |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424022075 |
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