Optimization of Shark Groove Drag Reduction Based on CFD and Genetic Algorithm

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.