Study on Flow Control and Noise Reduction of Bionic Airfoil Based on Intelligent Optimization Algorithm

The bionic sawtooth structure has a good noise reduction effect on the middle and low frequency flow noise, but the current researches mostly focus on the airfoil noise reduction with limited sawtooth number, ignoring the search for the noise reduction law of the sawtooth structure parameters. In this paper, four structural parameters, including tooth number, height to width ratio, passivation ratio and angle of flow cut, are selected to study the optimization design of bionic sawtooth airfoil by numerical calculation method. A noise reduction method for bionic sawtooth airfoil optimization is proposed, and the sawtooth parameters with the optimal noise reduction effect are found. In this paper, the total sound pressure level is taken as the optimization objective, and the neural network algorithm fitting and adaptive simulated annealing algorithm are employed to optimize, and the rationality of the prediction results is evaluated by the method of manual supervision. The results show that the sawtooth number has the most obvious effect on the airfoil noise reduction effect, and the total sound pressure level after optimization is reduced by 0.55dB compared with that before optimization, and the noise reduction effect is mainly concentrated near the trailing edge of the airfoil.