Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models
A novel fatigue evolution model considering the effect of defect size and additive manufacturing building direction based on the theories of continuum damage mechanics and its numerical implementation in ABAQUS is proposed in this paper. First, the constitutive model, fatigue damage evolution model...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/10/9/823 |
| _version_ | 1797581719031775232 |
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| author | Yibing Yu Linlin Sun Zhi Bian Xiaojia Wang Zhe Zhang Chao Song Weiping Hu Xiao Chen |
| author_facet | Yibing Yu Linlin Sun Zhi Bian Xiaojia Wang Zhe Zhang Chao Song Weiping Hu Xiao Chen |
| author_sort | Yibing Yu |
| collection | DOAJ |
| description | A novel fatigue evolution model considering the effect of defect size and additive manufacturing building direction based on the theories of continuum damage mechanics and its numerical implementation in ABAQUS is proposed in this paper. First, the constitutive model, fatigue damage evolution model and their parameter calibration methods are presented. Second, using the ABAQUS platform, the proposed model is implemented with user-defined subroutines. After that, based on the proposed model and its numerical implementation, the fatigue life of additively manufactured AlSi10Mg is predicted and its applicability is verified through experimental results. Finally, a support vector regression model is established to predict the fatigue life, and its results are compared to those of the numerical finite element method. The results show that the support vector regression model makes better predictions than the finite element method. |
| first_indexed | 2024-03-10T23:09:35Z |
| format | Article |
| id | doaj.art-80c6e2abef344ddd87e30149883ae2c6 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T23:09:35Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-80c6e2abef344ddd87e30149883ae2c62023-11-19T09:05:21ZengMDPI AGAerospace2226-43102023-09-0110982310.3390/aerospace10090823Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR ModelsYibing Yu0Linlin Sun1Zhi Bian2Xiaojia Wang3Zhe Zhang4Chao Song5Weiping Hu6Xiao Chen7National Key Laboratory of Strength and Structural Integrity, School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, ChinaRailway Engineering Research Institute, China Academy of Railway Sciences Corporation Ltd., Beijing 100081, ChinaAVIC China Aero-Polytechnology Establishment, Beijing 100028, ChinaAVIC China Aero-Polytechnology Establishment, Beijing 100028, ChinaAVIC China Aero-Polytechnology Establishment, Beijing 100028, ChinaAVIC China Aero-Polytechnology Establishment, Beijing 100028, ChinaNational Key Laboratory of Strength and Structural Integrity, School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, ChinaDepartment of Engineering Mechanics, Institute of Biomechanics and Medical Engineering, Tsinghua University, Beijing 100084, ChinaA novel fatigue evolution model considering the effect of defect size and additive manufacturing building direction based on the theories of continuum damage mechanics and its numerical implementation in ABAQUS is proposed in this paper. First, the constitutive model, fatigue damage evolution model and their parameter calibration methods are presented. Second, using the ABAQUS platform, the proposed model is implemented with user-defined subroutines. After that, based on the proposed model and its numerical implementation, the fatigue life of additively manufactured AlSi10Mg is predicted and its applicability is verified through experimental results. Finally, a support vector regression model is established to predict the fatigue life, and its results are compared to those of the numerical finite element method. The results show that the support vector regression model makes better predictions than the finite element method.https://www.mdpi.com/2226-4310/10/9/823additive manufacturingAlSi10Mglife predictiondamage mechanicssupport vector regression |
| spellingShingle | Yibing Yu Linlin Sun Zhi Bian Xiaojia Wang Zhe Zhang Chao Song Weiping Hu Xiao Chen Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models Aerospace additive manufacturing AlSi10Mg life prediction damage mechanics support vector regression |
| title | Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models |
| title_full | Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models |
| title_fullStr | Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models |
| title_full_unstemmed | Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models |
| title_short | Very High Cycle Fatigue Life Prediction of SLM AlSi10Mg Based on CDM and SVR Models |
| title_sort | very high cycle fatigue life prediction of slm alsi10mg based on cdm and svr models |
| topic | additive manufacturing AlSi10Mg life prediction damage mechanics support vector regression |
| url | https://www.mdpi.com/2226-4310/10/9/823 |
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