Knowledge Commons of Institute of Automation,CAS
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 |
ISSN | 0169-1864 |
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 |
DOI | 10.1080/01691864.2019.1679252 |
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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