Integrated thermal assembly using hierarchical kernel regression method
Su, Jianhua1; Chen, Bin1,2; Liu, Chuankai3; Yang, Xu1; Liu, Zhiyong1,2; Qiao, Hong1,2
发表期刊ADVANCED ROBOTICS
ISSN0169-1864
2019-10-17
卷号33期号:22页码:1194-1208
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.

关键词Hierarchical kernel regression integration thermal assembly model interference-fit
DOI10.1080/01691864.2019.1679252
关键词[WOS]INTERFERENCE ; COMPENSATION ; OPTIMIZATION
收录类别SCI
语种英语
资助项目Science andTechnology on Space Intelligent Control Laboratory[HTKJ2019KL502013] ; National Science and Technology Major Project of Science and Technology of China[2014ZX04013011] ; National Natural Science Foundation of China (NSFC)[U1509212] ; National Natural Science Foundation of China (NSFC)[91848109] ; Beijing Natural Science Foundation[4182068] ; Beijing Natural Science Foundation[4182068] ; National Natural Science Foundation of China (NSFC)[91848109] ; National Natural Science Foundation of China (NSFC)[U1509212] ; 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
WOS类目Robotics
WOS记录号WOS:000490699700001
出版者TAYLOR & FRANCIS LTD
七大方向——子方向分类智能机器人
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/26646
专题多模态人工智能系统全国重点实验室_机器人理论与应用
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
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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,2019,33(22):1194-1208.
APA Su, Jianhua,Chen, Bin,Liu, Chuankai,Yang, Xu,Liu, Zhiyong,&Qiao, Hong.(2019).Integrated thermal assembly using hierarchical kernel regression method.ADVANCED ROBOTICS,33(22),1194-1208.
MLA Su, Jianhua,et al."Integrated thermal assembly using hierarchical kernel regression method".ADVANCED ROBOTICS 33.22(2019):1194-1208.
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