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Defect-induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning

文献类型：期刊论文

作者Zhan, Zhixin3; Ao, Ni2; Hu, Yanan2; Liu, Chuanqi1
刊名ENGINEERING FRACTURE MECHANICS
出版日期2022-04-01
卷号264页码:17
关键词Data-driven modeling Additive manufacturing 300M-AerMet100 steel Experimental investigations Fatigue assessment
ISSN号0013-7944
DOI10.1016/j.engfracmech.2022.108352
通讯作者Liu, Chuanqi(chuanqil@imech.ac.cn)
英文摘要Additive manufacturing (AM) has attracted much attention recently for its immanent advantages. Assessment of the fatigue performance for AM treated materials becomes vital for both material science and engineering applications. In this study, we extensively investigate the fatigue performance of AM processed 300M-AerMet100 steel by combining experiments, numerical simulations and machine learning. We conduct experiments to obtain fatigue curves as calibration and to determine the parameters used in the theoretical models. Continuum damage mechanics-based fatigue models are presented and numerically implemented to generate sufficient training data for machine learning. We then employ a multi-layer perceptron neural network model to predict the fatigue life of the AM processed 300M-AerMet100 steel. Experimental results show that there are scatters in the fatigue data, which may be caused by the small cracks induced by the laser cladding process via fractographic analyses. Numerical results show that a good prediction of fatigue life can be achieved by combining the continuum damage mechanics-based fatigue models and the multi-layer perceptron neural network model. This work provides a systematic prediction platform for the fatigue performance of the AM fabricated 300M-AerMet100 steel.
WOS关键词CRACK INITIATION ; SURFACE-ROUGHNESS ; LIFE ; PREDICTION ; RESISTANCE ; STRENGTH ; ALLOY
资助项目National Natural Science Foundation of China[12002011] ; National Natural Science Foundation of China[12172368] ; Fundamental Research Funds for the Central Universities[YWF-21-BJ-J-1115] ; One Hundred Talents Program of the Chinese Academy of Sciences
WOS研究方向Mechanics
语种英语
WOS记录号WOS:000773496200001
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; One Hundred Talents Program of the Chinese Academy of Sciences
源URL[http://dspace.imech.ac.cn/handle/311007/88829]  
专题力学研究所_非线性力学国家重点实验室
通讯作者Liu, Chuanqi
作者单位1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing, Peoples R China
2.Southwest Jiaotong Univ, State Key Lab Tract Power, Chengdu, Peoples R China
3.Beihang Univ, Sch Aeronaut Sci & Engn, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhan, Zhixin,Ao, Ni,Hu, Yanan,et al. Defect-induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning[J]. ENGINEERING FRACTURE MECHANICS,2022,264:17.
APA Zhan, Zhixin,Ao, Ni,Hu, Yanan,&Liu, Chuanqi.(2022).Defect-induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning.ENGINEERING FRACTURE MECHANICS,264,17.
MLA Zhan, Zhixin,et al."Defect-induced fatigue scattering and assessment of additively manufactured 300M-AerMet100 steel: An investigation based on experiments and machine learning".ENGINEERING FRACTURE MECHANICS 264(2022):17.

入库方式： OAI收割

来源：力学研究所

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