中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integrated thermal assembly using hierarchical kernel regression method

文献类型:期刊论文

作者Su, Jianhua1; Chen, Bin1,2; Liu, Chuankai3; Yang, Xu1; Liu, Zhiyong1,2; Qiao, Hong1,2
刊名ADVANCED ROBOTICS
出版日期2019-10-17
页码15
关键词Hierarchical kernel regression integration thermal assembly model interference-fit
ISSN号0169-1864
DOI10.1080/01691864.2019.1679252
通讯作者Su, Jianhua(jianhua.su@ia.ac.cn)
英文摘要To design thermal fit parameters such as heating temperature and insertion force, it is generally necessary to conduct structural and thermal analyses, respectively. This study aims to build an integrated thermal assembly model to design the heating temperature and insertion force parameters simultaneously. A hierarchical multiple-kernel regression is proposed to map the two parameters and the thickness of the workpiece to the contact stress. Using the regression method, we can design the thermal fit parameters efficiently. The proposed model is validated experimentally based on two shaft-bearing assemblies. The results show that the model is capable of accurately predicting the contact stress in assembly.
WOS关键词INTERFERENCE ; COMPENSATION ; OPTIMIZATION
资助项目National Natural Science Foundation of China (NSFC)[91848109] ; National Natural Science Foundation of China (NSFC)[U1509212] ; Beijing Natural Science Foundation[4182068] ; National Science and Technology Major Project of Science and Technology of China[2014ZX04013011] ; Science andTechnology on Space Intelligent Control Laboratory[HTKJ2019KL502013]
WOS研究方向Robotics
语种英语
WOS记录号WOS:000490699700001
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China (NSFC) ; Beijing Natural Science Foundation ; National Science and Technology Major Project of Science and Technology of China ; Science andTechnology on Space Intelligent Control Laboratory
源URL[http://ir.ia.ac.cn/handle/173211/26645]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
通讯作者Su, Jianhua
作者单位1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Beijing Aerosp Control Ctr, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Su, Jianhua,Chen, Bin,Liu, Chuankai,et al. Integrated thermal assembly using hierarchical kernel regression method[J]. ADVANCED ROBOTICS,2019:15.
APA Su, Jianhua,Chen, Bin,Liu, Chuankai,Yang, Xu,Liu, Zhiyong,&Qiao, Hong.(2019).Integrated thermal assembly using hierarchical kernel regression method.ADVANCED ROBOTICS,15.
MLA Su, Jianhua,et al."Integrated thermal assembly using hierarchical kernel regression method".ADVANCED ROBOTICS (2019):15.

入库方式: OAI收割

来源:自动化研究所

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