Global Optimization of Thermal Fatigue Resistance of Brake Disc Materials Based on Genetic Algorithm and Neural Network

2018 2nd International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Sun, Xuemin^1 ; Bao, Jinsong^1 ; Yin, Shiyong^1 ; Li, Zhiqiang^1

College of Mechanical Engineering, Donghua University, Shanghai

201620, China^1

关键词: Comparative experiments;    Experimental methods;    Fatigue performance;    Fatigue phenomenons;    Local optimal problems;    Optimization modeling;    Orthogonal experiment;    Variance analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012027/pdf
DOI  :  10.1088/1757-899X/435/1/012027

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.