Global Optimization Of Thermal Fatigue Resistance Of Brake Disc Materials Based On Genetic Algorithm And Neural Network

Brake disc is an important component of braking system, its thermal fatigue resistance directly affects the braking effect. In order to avoid the thermal fatigue phenomenon of brake disc, an orthogonal experimental method is presented to optimize thermal fatigue performance, which optimizes the horizontal combination of the four elements, and determines the order of the four elements that affect the thermal fatigue resistance of the material by means of range analysis and variance analysis. A global optimization model based on genetic algorithm and neural network is proposed to solve the local optimal problem in orthogonal experiments. Finally, an comparative experiment is taken, and the results show the efficiency of the orthogonal experimental method combined with the global optimization model on improving the thermal fatigue resistance of the brake disc material.