Fatigue life prediction of motor-generator rotor for pumped-storage plant

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
发表期刊	ENGINEERING FAILURE ANALYSIS
ISSN	1350-6307
卷号	79 页码:8-24
摘要	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.; 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.
部门归属	[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
关键词	Motor-generator Rotor Steel Sheet Fatigue Influencing Factor Fatigue Life Prediction Key Part Life Method
学科领域	Engineering, Mechanical ; Materials Science, Characterization & Testing
资助者	National Natural Science Foundation of China (NSFC) [51301179, 51331007]
收录类别	SCI
语种	英语
WOS记录号	WOS:000405538800002
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/78013
专题	中国科学院金属研究所
通讯作者	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.
推荐引用方式 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.