汽车鼓式制动器多目标优化设计

Multi-Objective Optimization Design of Drum-fashioned brake Technology

车辆在高速时的紧急制动对制动器提出了新的要求,摩擦副温升不能过高,以免发生热衰退现象,降低制动效能。另外,制动器有效尺寸的减小将给整车布局留下更广阔的空间。本文以摩擦副温升最低和制动器尺寸最小为目标,对鼓式制动器进行多目标优化设计,减小制动器尺寸并提高制动器工作的可靠性。优化搜索策略采用基于方向的遗传算法,能实现自适应变异,并能保证变异产生的后代直接落在给定的设计变量搜索区间内,算法稳定且收敛速度快。

The braking under high speed brings high demand to car＇s brakes. The temperature of friction must be low enough in order to prevent from arising heat-decay and reducing performance. Furthermore, reducing the brake size can give capacious room for the integer design. The aim of the optimization design is to minimum the heat of rub surface and the size of the brakes so as to improve the reliability of break system.The optimization searching strategy is genetic algorithm based on direction, which can achieve self-reliant aberrance and ensure feasible offspring. This algorithm is steady and quick convergence.