Integrated thermal assembly using hierarchical kernel regression method | |
Su, Jianhua1; Chen, Bin1,2; Liu, Chuankai3; Yang, Xu1; Liu, Zhiyong1,2; Qiao, Hong1,2 | |
刊名 | ADVANCED ROBOTICS |
2019-10-17 | |
页码 | 15 |
关键词 | Hierarchical kernel regression integration thermal assembly model interference-fit |
ISSN号 | 0169-1864 |
DOI | 10.1080/01691864.2019.1679252 |
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. |
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关键词 | INTERFERENCE ; COMPENSATION ; OPTIMIZATION |
WOS研究方向 | Robotics |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000490699700001 |
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 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/26645] |
专题 | 中国科学院自动化研究所 |
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. |
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