水翼剖面多目标粒子群算法优化

Multi-objective particle swarm optimization of hydrofoil sections

船舶螺旋桨及舵均由水翼剖面组成,为了提高桨、舵的水动力性能,需要对水翼进行优化设计,以便得到水动力性能更好的桨及舵。提出一种基于线性权重处理的多目标优化算法,以降低阻升比和改善水翼表面压力分布为优化目标,将其应用到多目标水翼优化中。分别选取不同的攻角、不同翼型和不同的翼型表达函数进行优化设计。优化后得到的新翼型相对于原始翼型,具有低阻生比和较低的最小负压力系数,提高了翼型的升力效率和空泡性能。因此,验证了提出的多目标粒子群算法能够应用到多目标翼型优化设计的可行性。

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 to get the propeller and rudder with better hydrodynamic performance.The multi-objective particle swarm optimization algorithm based on linear-weight strategy was proposed for reducing the drag-lift ratio and improving the hydrofoil surface pressure dis-tribution.This algorithm was applied to the multi-objective hydrofoil optimization.Different attack angles, different hydrofoils and different hydrofoil expression functions were selected respectively for the optimization.The new hy-drofoil after optimization had lower drag-lift ratio and minimum negative pressure coefficient than the original one, which improved the lift efficiency and cavitation performance of the hydrofoil.Therefore, the feasibility of applying multi-objective particle swarm optimization to multi-objective hydrofoil design was verified.