Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm
In this study, we have obtained the corresponding relationship between SLM-NiTi alloy transition temperatures and energy density, and realized the accurate prediction and inverse prediction of SLM process parameters and NiTi alloy transition temperatures. And we verify the accuracy of the prediction...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785421010668 |
| _version_ | 1819099227680145408 |
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| author | Zhenglei Yu Zezhou Xu Ruiyao Liu Renlong Xin Lunxiang Li Lixin Chen Pengwei Sha Wanqing Li Yining Zhu Yunting Guo Jiale Zhao Zhihui Zhang Luquan Ren |
| author_facet | Zhenglei Yu Zezhou Xu Ruiyao Liu Renlong Xin Lunxiang Li Lixin Chen Pengwei Sha Wanqing Li Yining Zhu Yunting Guo Jiale Zhao Zhihui Zhang Luquan Ren |
| author_sort | Zhenglei Yu |
| collection | DOAJ |
| description | In this study, we have obtained the corresponding relationship between SLM-NiTi alloy transition temperatures and energy density, and realized the accurate prediction and inverse prediction of SLM process parameters and NiTi alloy transition temperatures. And we verify the accuracy of the prediction model through DSC, XRD and SEM. Secondly, B19′NiTi and B2NiTi are successfully obtained through the prediction model. Finally, a composite gradient NiTi is established based on the idea of rigid-flexible coupling, which successfully achieved the simultaneous improvement of the strength and toughness of the SLM-NiTi alloy. The compressive fracture strength reached 2668 MPa, and the fracture strain reached 55.51%. |
| first_indexed | 2024-12-22T00:43:32Z |
| format | Article |
| id | doaj.art-293d0f8ca831451f9acd52768c3349e0 |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-12-22T00:43:32Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-293d0f8ca831451f9acd52768c3349e02022-12-21T18:44:36ZengElsevierJournal of Materials Research and Technology2238-78542021-11-011533493356Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithmZhenglei Yu0Zezhou Xu1Ruiyao Liu2Renlong Xin3Lunxiang Li4Lixin Chen5Pengwei Sha6Wanqing Li7Yining Zhu8Yunting Guo9Jiale Zhao10Zhihui Zhang11Luquan Ren12Key Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China; State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaCollege of Mechanical and Electric Engineering, Changchun University of Science and Technology, Changchun 130022, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaAviation Operations Service College, Aviation University of Air Force, Changchun 130022, ChinaYanbian University College of Agriculture, Yanbian University, Yanbian 133002, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China; Corresponding author.Key Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China; Corresponding author.Key Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaKey Lab of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaIn this study, we have obtained the corresponding relationship between SLM-NiTi alloy transition temperatures and energy density, and realized the accurate prediction and inverse prediction of SLM process parameters and NiTi alloy transition temperatures. And we verify the accuracy of the prediction model through DSC, XRD and SEM. Secondly, B19′NiTi and B2NiTi are successfully obtained through the prediction model. Finally, a composite gradient NiTi is established based on the idea of rigid-flexible coupling, which successfully achieved the simultaneous improvement of the strength and toughness of the SLM-NiTi alloy. The compressive fracture strength reached 2668 MPa, and the fracture strain reached 55.51%.http://www.sciencedirect.com/science/article/pii/S2238785421010668Selective laser meltingNiTi shape memory alloysAdditive manufacturingLevenberg–Marquardt algorithmTransition temperatures |
| spellingShingle | Zhenglei Yu Zezhou Xu Ruiyao Liu Renlong Xin Lunxiang Li Lixin Chen Pengwei Sha Wanqing Li Yining Zhu Yunting Guo Jiale Zhao Zhihui Zhang Luquan Ren Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm Journal of Materials Research and Technology Selective laser melting NiTi shape memory alloys Additive manufacturing Levenberg–Marquardt algorithm Transition temperatures |
| title | Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm |
| title_full | Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm |
| title_fullStr | Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm |
| title_full_unstemmed | Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm |
| title_short | Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm |
| title_sort | prediction of slm niti transition temperatures based on improved levenberg marquardt algorithm |
| topic | Selective laser melting NiTi shape memory alloys Additive manufacturing Levenberg–Marquardt algorithm Transition temperatures |
| url | http://www.sciencedirect.com/science/article/pii/S2238785421010668 |
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