Parameter solution of CST airfoil parameterization method based on PSO algorithm

Qingdu Tan; Haotian Wei; Lirui Wang

doi:10.1117/12.2645469

30 August 2022 Parameter solution of CST airfoil parameterization method based on PSO algorithm

Qingdu Tan, Haotian Wei, Lirui Wang

Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 123092B (2022) https://doi.org/10.1117/12.2645469
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China

Abstract

In this paper, the defects of the current airfoil parameterization methods are analyzed, and a method using particle swarm optimization (PSO) algorithm to solve the Bernstein coefficients in the CST method is proposed. Then, the NACA0012 airfoil and RAE2822 airfoil are modeled by CST method, and the Bernstein coefficients are converted into design variables in THE PSO optimization algorithm for solving. The influences of Bernstein coefficients of different orders on the airfoil generation accuracy are compared, and the optimal Bernstein coefficients are finally solved.

Citation Download Citation

Qingdu Tan, Haotian Wei, and Lirui Wang "Parameter solution of CST airfoil parameterization method based on PSO algorithm", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 123092B (30 August 2022); https://doi.org/10.1117/12.2645469

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