A study of an assembly positioning algorithm

Zhibing Lu; Wei Wang; Xu Li; Xiangzhen Chen; De Yao; Weiwei Sun

doi:10.1117/12.2679311

18 July 2023 A study of an assembly positioning algorithm

Zhibing Lu, Wei Wang, Xu Li, Xiangzhen Chen, De Yao, Weiwei Sun

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127221F (2023) https://doi.org/10.1117/12.2679311
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

Assembly simulation technology occupies an important position in today's manufacturing industry, and its core is surface matching. In this paper, based on the traditional iterative nearest point algorithm, the algorithm was improved and optimized by combining the normal distribution transformation algorithm and adding constraints. And the algorithm can be divided into two steps: coarse alignment and static alignment. Finally, the algorithm was verified by experiments. It was shown that the algorithm was accurate and effective, while it had good computational accuracy. And an idea for the application of surface matching to practical engineering can be provided.

Citation Download Citation

Zhibing Lu, Wei Wang, Xu Li, Xiangzhen Chen, De Yao, and Weiwei Sun "A study of an assembly positioning algorithm", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127221F (18 July 2023); https://doi.org/10.1117/12.2679311

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