IMR OpenIR
Fatigue life prediction of motor-generator rotor for pumped-storage plant
Nie, Liangliang; Zhang, Mengxiao; Zhu, Libei; Pang, Jianchao; Yao, Ge; Mao, Yunxian; Chen, Man; Zhang, Zhefeng; Pang, JC; Zhang, ZF (reprint author), Chinese Acad Sci, Shenyang Natl Lab Mat Sci, Inst Met Res, 72 Wenhua Rd, Shenyang 110016, Peoples R China.
2017-09-01
Source PublicationENGINEERING FAILURE ANALYSIS
ISSN1350-6307
Volume79Pages:8-24
AbstractTo predict the fatigue life of motor-generator rotor in a pumped-storage plant, the most dangerous position of the rotor under the highest applied load was found to be at the dovetail of magnetic pole and yoke after failure analysis and stress condition analysis. In this work, two types of steel sheets used to manufacture those parts were chosen to study the microstructures and mechanical properties, especially the fatigue properties. Based on those results, some methods including widely applied Forschungskuratorium Maschinenbau (FKM) method and modified one were used to predict fatigue life of the key parts. Considering possible influencing factors, based on the fatigue theories or methods to modify mean stress and predict fatigue life, a novel method, named key part life (KPL) method, was proposed briefly. The KPL method not only suits well for the motor-generator rotor, but also provides a new idea for life prediction of parts in engineering field. (C) 2017 Elsevier Ltd. All rights reserved.; To predict the fatigue life of motor-generator rotor in a pumped-storage plant, the most dangerous position of the rotor under the highest applied load was found to be at the dovetail of magnetic pole and yoke after failure analysis and stress condition analysis. In this work, two types of steel sheets used to manufacture those parts were chosen to study the microstructures and mechanical properties, especially the fatigue properties. Based on those results, some methods including widely applied Forschungskuratorium Maschinenbau (FKM) method and modified one were used to predict fatigue life of the key parts. Considering possible influencing factors, based on the fatigue theories or methods to modify mean stress and predict fatigue life, a novel method, named key part life (KPL) method, was proposed briefly. The KPL method not only suits well for the motor-generator rotor, but also provides a new idea for life prediction of parts in engineering field. (C) 2017 Elsevier Ltd. All rights reserved.
description.department[nie, liangliang ; mao, yunxian ; chen, man] china southern power grid, power generat co, 32 longkou east rd, guangzhou 510630, guangdong, peoples r china ; [zhang, mengxiao ; zhu, libei ; pang, jianchao ; yao, ge ; zhang, zhefeng] chinese acad sci, shenyang natl lab mat sci, inst met res, 72 wenhua rd, shenyang 110016, peoples r china
KeywordMotor-generator Rotor Steel Sheet Fatigue Influencing Factor Fatigue Life Prediction Key Part Life Method
Subject AreaEngineering, Mechanical ; Materials Science, Characterization & Testing
Funding OrganizationNational Natural Science Foundation of China (NSFC) [51301179, 51331007]
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/78013
Collection中国科学院金属研究所
Corresponding AuthorPang, JC; Zhang, ZF (reprint author), Chinese Acad Sci, Shenyang Natl Lab Mat Sci, Inst Met Res, 72 Wenhua Rd, Shenyang 110016, Peoples R China.
Recommended Citation
GB/T 7714
Nie, Liangliang,Zhang, Mengxiao,Zhu, Libei,et al. Fatigue life prediction of motor-generator rotor for pumped-storage plant[J]. ENGINEERING FAILURE ANALYSIS,2017,79:8-24.
APA Nie, Liangliang.,Zhang, Mengxiao.,Zhu, Libei.,Pang, Jianchao.,Yao, Ge.,...&Zhang, ZF .(2017).Fatigue life prediction of motor-generator rotor for pumped-storage plant.ENGINEERING FAILURE ANALYSIS,79,8-24.
MLA Nie, Liangliang,et al."Fatigue life prediction of motor-generator rotor for pumped-storage plant".ENGINEERING FAILURE ANALYSIS 79(2017):8-24.
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