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Multi-objective intelligent cooperative design for interference fit of the conical sleeve
Author
Ke Ning, Jianmei Wang, Pu Li, Dan Xiang, Dingbang Hou
Journal Title
Journal of Mechanical Science and Technology
Publication Year
2021
Topics
Summary
This paper deals with a multi-objective intelligent cooperative optimization method for the interference fit of a conical sleeve. Key factors are determined considering actual situations, and an approximate model based on the kriging algorithm is established to perform optimal design via the NSGA-II algorithm. Experimental results demonstrate that the proposed method compensates for the deficiencies of theoretical design and provides 32 times higher accuracy than the BP neural network algorithm.
Journal Influence
[Journal of Mechanical Science and Technology]
- CiteScore
- 3.0
- ES
- 0.00652
- JCI
- 0.41
- JCR
- 1.7
- KCI
- 0.20
- SJR
- 0.418
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