【作者】 董小闵； 于建强； 王小龙； 杨茂举；

【Author】 Xiaomin Dong;Jianqiang Yu;Xiaolong Wang;Maoju Yang;State Key Laboratory of Mechanical Transmission,Chongqing University;Chongqing Endurance Zhongyi Shock Absorber Liability Co.,LTD;

【机构】 重庆大学机械传动国家重点实验室； 重庆耐德中意减振器有限责任公司；

【摘要】 磁流变(Magneto-rheological简称MR)减振器在运行过程中,会出现阻尼力随温度升高而下降的现象,为了在不同温度下都能输出足够的阻尼力,在结构设计时考虑温度因素至关重要。为此,本文引入了评价系数,对较高温度下MR减振器是否有能力能够输出足够的阻尼力进行衡量,并与MR减振器的最大阻尼力和动态范围作为优化目标。利用有限元方法获得了工作区域的磁感应强度,并采用响应面法建立二阶预测模型描述了磁感应强度与结构参数之间的非线性关系;结合非支配遗传算法对MR减振器的进行了多目标优化设计,根据优化结果制造了磁流变减振器,并进行了试验测试,验证了设计方案的有效性。更多还原

【Abstract】 It is revealed that with the increment of working temperature of a magneto-rheological(MR) fluid damper,the performance of the MR damper will be degraded.In order to generate enough damper force under different temperature,it is important to consider the effects of temperature while designing an MR damper.In this study,the temperature evaluation factor is introduced to evaluate if the MR shock absorber has the ability to provide required damping force under the high temperature.The evaluation factor,the maximization of the damping force and the dynamic range are the objectives in the multipleoptimal procedure of the MR damper.To improve the optimization efficiency,second-order prediction model is established by using the response surface method to describe the nonlinear relationship between magnetic induction intensity and structure variables.The magnetic induction intensity is obtained through the finite element method.The Non-dominated Sorting Genetic Algorithm II(NSGA-II) is applied to solve the multi-objective optimization problem.The optimal design of the manufactured MR damper is experimentally verified.The results show that the design of the MR damper is effective.更多还原