摘要
为了充分发挥基于磁流变脂材料的功能器件的半主动控制,需要寻找一个高精度的模型来实时、准确地预测其动态流变特性,以便采取适当的控制策略来提高结构的响应。建立合适的参数模型预测磁流变磁控智能软材料的动态流变行为,是在工程上实现其半主动控制的基础,研制出新型磁流变材料——磁流变脂,并对其动态特性展开测试。基于对测试结果的讨论,采用遗传优化算法,利用Bouc-Wen参数模型来描述这种非线性迟滞现象(应变增强效应),并进行参数建模及识别,利用建立的模型进行不同温度下滞回曲线的预测。结果表明:随着应变的增大,磁流变脂的滞回曲线逐渐向非线性过渡,直到应变为10%和100%时,具有明显的非线性黏弹性特性;随着应变幅值的增大,材料的滞回曲线的非线性表现出应变增强效应;模型具有较高的建模精度,能够很好地描述磁流变脂在各种应变幅值下的独特而复杂的行为,为基于这种材料的结构装置在振动控制中的应用提供理论参考。
In order to give full play to the semi-active control of functional devices based on magnetorheological grease, it is necessary to find a high-precision model to accurately predict the dynamic rheological properties of the material in real time, so as to adopt appropriate control strategies to improve the response of the structure. Establishing a suitable parameter model to predict the dynamic rheological behavior of magnetorheological magnetron intelligent soft materials is the basis for realizing its semi-active control in engineering. A new type of magnetorheological material magnetorheological grease was developed and its dynamics performances were test. Based on the discussion of the test results, genetic optimization algorithm was used, Bouc-Wen parameter model was used to describe this nonlinear hysteresis phenomenon(strain enhancement effect), and the identification of parameter modeling was performed. Furthermore, the model was used to description the hysteresis curve at different temperatures. The results show that with the increase of strain, the hysteresis curve of magnetorheological grease gradually becomes nonlinear, until the strain is 10% and 100%, it has obvious nonlinear viscoelastic characteristics. With the strain amplitude increases, the nonlinearity of the hysteresis curve shows a strain-enhancing effect. The model has high modeling accuracy and can well describe the unique and complex behavior of magnetorheological grease under various strain amplitudes. It provides a theoretical reference for the application of structural devices based on this material in vibration control.
作者
孙民
周州
竺启斌
邓冉
李向东
陈序
刘兵
王炅
汪辉兴
张广
Sun Min;Zhou Zhou;Zhu Qibin;Deng Ran;Li Xiangdong;Chen Xu;Liu Bing;Wang Jiong;Wang Huixing;Zhang Guang(Special Equipment Safety Supervision Inspection Institute of Jiangsu Province,Nanjing 210002,China;School of Mechanical Engineer-ing,Nanjing University of Science and Technology,Nanjing 210094,China;College of Mechanical Engineering,Zhejiang University of Tech-nology,Hangzhou 310014,China;XGM Corporation Limited,Taizhou,Zhejiang 317100,China)
出处
《机电工程技术》
2022年第8期14-17,73,共5页
Mechanical & Electrical Engineering Technology
基金
国家市场监督管理总局科技计划项目(编号:S2020MK666)。
