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Multi-objective intelligent cooperative design for interference fit of the conical sleeve

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Abstract

This paper deals with the multi-objective intelligent cooperative optimization for interference fit of conical sleeve. The influence of various factors on contact pressure of conical sleeve was quantitatively analyzed, and the relationship among multi-objectives and multivariables was comprehensively built. Take the cone sleeve of oil film bearing as the research object, the key factors of the cone sleeve were determined with a combination of actual situations, and its sample data was obtained by central composite test design. Considering the multi-objective involving yield strength, torque and mass, the approximate model of the response surface based on the kriging algorithm was given. Then, a multi-objective intelligent cooperative design method for interference fit of the cone sleeve was established by solving the NSGA-II algorithm. Example analysis has shown that such a method makes up for the deficiency of theoretical design to ignore the stress concentration problem, and its accuracy is 32 times that of the BP neural network algorithm. Finally, the experiments verified the correctness of this method.

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Abbreviations

δ :

Interference

S :

Assembly stroke

β :

Cone angle

L :

Contact length

D :

Outer diameter

d m :

Average combined diameter

δ min :

Minimum interference

δ max :

Maximum interference

F :

Axial force

T :

Torque

K :

Safety factor

μ :

Friction factor

p min :

Minimum contact pressure

σ ss :

Yield strength of the roller

σ sc :

Yield strength of the cone sleeve

v :

Poisson’s ratio

E :

Elastic modulus

p max :

Maximum contact pressure

E max :

Maximum equivalent stress

p smin :

Designed minimum contact pressure

m :

Mass of the cone sleeve

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 51875382, No. 52035006), and Research Project Supported by Shanxi Scholarship Council of China (No. 2020-125).

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Authors and Affiliations

  1. Engineering Research Center Heavy Machinery Ministry of Education, Taiyuan University of Science and Technology, Taiyuan, China

    Ke Ning, Jianmei Wang & Dingbang Hou

  2. School of Science, Harbin Institute of Technology, Shenzhen, China

    Pu Li

  3. Oil-Film Bearing Branch, Taiyuan Heavy Machinery Group Co. Ltd., Taiyuan, China

    Dan Xiang

Authors
  1. Ke Ning
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  2. Jianmei Wang
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  3. Pu Li
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  4. Dan Xiang
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  5. Dingbang Hou
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Corresponding author

Correspondence to Jianmei Wang.

Additional information

Jianmei Wang is a Professor in the Engineering Research Center Heavy Machinery Ministry of Education at Taiyuan University of Science and Technology, Taiyuan, China. In 2009, she received her Ph.D. in Mechanical and Electronic Engineering from Taiyuan University of Technology. Her research interests include tribology, advanced manufacturing technology and structural optimum design of heavy machinery.

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Ning, K., Wang, J., Li, P. et al. Multi-objective intelligent cooperative design for interference fit of the conical sleeve. J Mech Sci Technol 35, 3569–3578 (2021). https://doi.org/10.1007/s12206-021-0728-4

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  • DOI: https://doi.org/10.1007/s12206-021-0728-4

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