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Optimization of shark groove drag reduction based on CFD and genetic algorithm

  • Kuo Sun
    ,
  • Li Li
    ,
  • Lu Wang
    ,
  • Hongmei Xu
    ,
  • Hao Li
    ,
  • Zuobin Wang
  • Changchun University of Science and Technology
    ,
  • University of Warwick
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

An optimization of shark scale flake groove structure by genetic algorithm is proposed to enhance its drag reduction performance. The microstructure of shark scales has been shown to play a key role in reducing frictional drag and enhancing hydrodynamic efficiency. Therefore, a genetic algorithm was used to optimize the design of the groove shape of the scales to exhibit optimal performance in the fluid environment. Genetic algorithms of selection, crossover and mutation are used to find the optimal solution in the design space. The optimized design is validated by Computational Fluid Dynamics (CFD) technique. The CFD simulation results demonstrate the improved hydrodynamic performance of the optimized groove design and confirm the effectiveness of genetic algorithms in complex engineering design problems. This study provides a new research avenue to improve the hydrodynamic efficiency.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 339-343 (5 pages)

Publication milestones

  • Published - 03/12/2024

Publication status

Published - 03/12/2024

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: 2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

ISBN (Print)

9798350362107

ISBN (Electronic)

9798350362107

External Publication IDs

  • handle.net: 10547/626874
  • Scopus: 85214369585

Host publication title

2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

Host publication editors

  • Ying Wang
  • Yuxiao Cui
  • Jingran Zhang
  • Miao Yu
  • Hao Wu
  • Zuobin Wang

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