基于多目标粒子群算法的翼剖面优化设计

船舶桨舵等装置均有水翼剖面组成，为了得到水动力性能更好的桨舵装置，需要对水翼进行优化设计。基于iSIGHT优化平台，采用粒子群优化算法，以保证水翼剖面升阻比和改善水翼表面压力分布为优化目标，进行多目标水翼优化。通过改变水翼剖面的拱度分布和厚度分布进行优化设计。优化后得到的最优剖面相对于原始剖面，明显增加了剖面的最小压力系数，并适当提高了升阻比，从而提高了水翼剖面的空泡性能和升力性能。因此，验证了利用多目标粒子群算法进行翼型优化设计的可行性。

Design of Hydrofoil Section based on Multi-objective particle swarm optimization

Both ship propeller and rudder are composed of hydrofoil sections. In order to improve the hydrodynamic performance of propeller and rudder, the design of hydrofoil sections needs to be optimized. The multi-objective particle swarm optimization algorithm was applied to the hydrofoil optimization for improving the hydrofoil surface pressure distribution and the lift-drag ratio. Different camber distribution curves and thickness distribution curves were selected for the optimization. The new hydrofoil after optimization had higher lift-drag ratio and minimum negative pressure coefficient than the original one, which improved the cavitation performance and lift efficiency of the hydrofoil. Therefore, the feasibility of applying multi-objective particle swarm optimization to hydrofoil design was verified.