Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting
文献类型：期刊论文
| 作者 | Shi T(时涛); Sun JY(孙经雨); Li JH(李江华); Qian GA(钱桂安) ; Hong YS(洪友士)
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| 刊名 | INTERNATIONAL JOURNAL OF FATIGUE
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| 出版日期 | 2023-06 |
| 卷号 | 171页码:107585 |
| ISSN号 | 0142-1123 |
| 关键词 | Very high cycle fatigue (VHCF) Machine learning (ML) Selective laser melting (SLM) Fatigue life prediction Interpolation |
| DOI | 10.1016/j.ijfatigue.2023.107585 |
| 英文摘要 | Few machine learning models are applied to investigate the influence of defect features on very high cycle fa tigue performance of additively manufactured alloys and these models usually suffer from data scarcity. Inter polation methods are run to enlarge dataset size and machine learning models are established to investigate the synergic influence of layer thickness, stress ratio, stress amplitude, defect size, shape and location on fatigue life of selective laser melted AlSi10Mg. Results show that the increases in defect distance to surface, circularity, and layer thickness favor higher fatigue life; however, the increases in stress amplitude, stress ratio, and defect size decrease fatigue life. |
| 分类号 | 一类 |
| WOS研究方向 | Engineering, Mechanical ; Materials Science, Multidisciplinary |
| 语种 | 英语 |
| WOS记录号 | WOS:000953337100001 |
| 资助机构 | NSFC Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics [11988102] ; National Natural Science Foundation of China [11932020, 12072345] ; National Science and Technology Major Project [J2019 VI 0012 0126] ; Science Center for Gas Turbine Project [P2022 B III 008 001] |
| 其他责任者 | Qian, GA (corresponding author), Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech LNM, Beijing 100190, Peoples R China. ; Qian, GA (corresponding author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China. |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/91823]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech LNM, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi T,Sun JY,Li JH,et al. Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting[J]. INTERNATIONAL JOURNAL OF FATIGUE,2023,171:107585. |
| APA | 时涛,孙经雨,李江华,钱桂安,&洪友士.(2023).Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting.INTERNATIONAL JOURNAL OF FATIGUE,171,107585. |
| MLA | 时涛,et al."Machine learning based very high cycle fatigue life prediction of AlSi10Mg alloy fabricated by selective laser melting".INTERNATIONAL JOURNAL OF FATIGUE 171(2023):107585. |
入库方式： OAI收割
来源：力学研究所
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