Optimization of hydrofoil for tidal current turbine based on particle swarm optimization and computational fluid dynamic method | Zendy

Desheng Zhang | Zendy; Jian Chen | Zendy; Weidong Shi | Zendy; Lei Shi | Zendy; Linlin Geng | Zendy

Open Access

Optimization of hydrofoil for tidal current turbine based on particle swarm optimization and computational fluid dynamic method

Author(s) -

Desheng Zhang,

Jian Chen,

Weidong Shi,

Lei Shi,

Linlin Geng

Publication year - 2016

Publication title -

thermal science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.339

H-Index - 43

eISSN - 2334-7163

pISSN - 0354-9836

DOI - 10.2298/tsci1603907z

Subject(s) - turbine , particle swarm optimization , lift (data mining) , computational fluid dynamics , angle of attack , cavitation , lift coefficient , current (fluid) , marine engineering , computer science , leading edge , mechanics , aerospace engineering , geology , physics , engineering , aerodynamics , algorithm , turbulence , reynolds number , data mining , oceanography

Both efficiency and cavitation performance of the hydrofoil are the key technologies to design the tidal current turbine. In this paper, the hydrofoil efficiency and lift coefficient were improved based on particle swarm optimization method and XFoil codes. The cavitation performance of the optimized hydrofoil was also discussed by the computational fluid dynamic. Numerical results show the efficiency of the optimized hydrofoil was improved 11% ranging from the attack angle of 0-7° compared to the original NACA63-818 hydrofoil. The minimum pressure on leading edge of the optimized hydrofoil dropped above 15% at the high attack angle conditions of 10°, 15°, and 20°, respectively, which is benefit for the hydrofoil to avoiding the cavitation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research