CASIA OpenIR
Integrated thermal assembly using hierarchical kernel regression method
Su, Jianhua1; Chen, Bin1,2; Liu, Chuankai3; Yang, Xu1; Liu, Zhiyong1,2; Qiao, Hong1,2
Source PublicationADVANCED ROBOTICS
ISSN0169-1864
2019-10-17
Pages15
Corresponding AuthorSu, Jianhua(jianhua.su@ia.ac.cn)
AbstractTo 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.
KeywordHierarchical kernel regression integration thermal assembly model interference-fit
DOI10.1080/01691864.2019.1679252
WOS KeywordINTERFERENCE ; COMPENSATION ; OPTIMIZATION
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaRobotics
WOS SubjectRobotics
WOS IDWOS:000490699700001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26646
Collection中国科学院自动化研究所
Corresponding AuthorSu, Jianhua
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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