重庆理工大学学报2026，Vol.40Issue(7)：49-56,8.DOI:10.3969/j.issn.1674-8425(z).2026.04.006
盘式制动器热-结构耦合分析及优化
Thermal-structure coupled analysis and optimization of disk brake
摘要
Abstract
This paper takes a disc brake used in special vehicle as the research object.The thermal-structure coupled finite element model is built using Abaqus.The characteristics of temperature field and stress field under emergency and continuous braking conditions are analyzed.Brake dynamometer(bench)tests are conducted,showing the maximum error between simulation and experimental results is 5.23％.The multi-objective optimization mathematical model of disc brake is built,with the maximum temperature and maximum stress of the brake disc as optimization objectives to optimize the design parameters.A training dataset is constructed using random sampling in combination with the thermo-mechanical coupled simulation model.BP neural network is employed for model training.A BP neural network surrogate model is developed to map optimization variables to objectives.The influence of design parameters is analyzed based on orthogonal experimental design and range analysis.The multi-objective grey wolf optimizer(MOGWO)is applied to solve the multi-objective optimization problem of brake and Pareto optimal set is obtained.Compared with the original scheme,under the emergency braking condition,the maximum temperature of brake disc is reduced by 6.77％and the maximum stress of brake disc is down by 14.24％.Under the continuous braking conditions,the maximum temperature of brake disc center is decreased by 5.60％,and the maximum stress of brake disc center is down by 8.57％.关键词
盘式制动器/热-结构耦合分析/BP神经网络/多目标灰狼优化算法/Pareto最优解集Key words
disc brake/thermal-structure coupled analysis/BP neural network/MOGWO/Pareto optimal set分类
交通工程引用本文复制引用
刘浩,陈曦明,李瑾,张冉,杨波,高丽丽..盘式制动器热-结构耦合分析及优化[J].重庆理工大学学报,2026,40(7):49-56,8.基金项目
国家重点研发计划项目(2023YFB3506404) （2023YFB3506404）
