针对汽车制动噪声的抑制问题,将响应面法与优化技术相结合,提出一种降低系统复模态的不稳定系数以提高汽车盘式制动器系统稳定性的优化方法。该方法基于制动器的振动稳定性原理建立有限元分析模型,通过拉丁超立方试验方法采样,结合最小二乘法构建制动器系统复模态的二阶响应面近似模型,以制动器几何结构参数为设计变量,制动器复模态的不稳定系数为设计目标,采用遗传算法对响应面近似模型进行优化。对某车的浮钳盘式制动器的分析和优化算例表明,采用该方法对汽车盘式制动器的稳定性进行分析和优化,能大大提高优化效率的同时有效降低系统复模态的不稳定系数,从而提高制动器的稳定性,减小制动噪声产生的可能,达到改善汽车振动噪声与舒适性的目的。
To suppress the noise of vehicle brakes, an optimization method to reduce instable coefficient of complex mode to improve stability of a disc brake system is presented. It is based on response surface method (RSM) and optimization technique. In the proposed method, a second-order response surface approximate model of complex mode is built up, based on the disc brake Vibration stability analysis, finite element model, Latin hypercube sampling and the least squares method. The structural parameters of brake system are taken for the design variables, the instable coefficient of complex mode is taken as the optimization objective, and genetic algorithm is applied to optimize the response surface approximation model. The analysis and optimization of a float caliper disc brake system is carried out, the results show that the proposed method can greatly improve the optimization efficiency and effectively reduce the instability coefficient of the brake complex mode, so as to improve the brake stability, reduce the generation of brake noise, achieve the purpose of improving vehicle noise, vibration, harshness (NVH) performance.