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浙江大学学报(工学版)
J4  2010, Vol. 44 Issue (11): 2050-2055    DOI: 10.3785/j.issn.1008973X.2010.11.002
机械工程     
磁流变智能镗杆的动力学模型
孔天荣,李欣,梅德庆,陈子辰
浙江大学 现代制造工程研究所,浙江省先进制造技术重点实验室,浙江 杭州 310027
Dynamic model of magnetorheological  intelligent boring bar
KONG Tian-rong, LI Xin, MEI De-qing, CHEN Zi-chen
Institute of Advanced Manufacturing Engineering, Zhejiang Province Key Laboratory of Advanced
Manufacturing Technology, Zhejiang University, Hangzhou 310027,China
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摘要：

为了准确地在线调控磁流变智能镗杆的动态特性,有效地进行颤振抑制,对动力学模型进行研究.根据磁流变材料在屈服前区、屈服区和屈服后区所表现出的动态特性,结合Kelvin和Maxwell模型,建立本构模型,分析结果表明：该模型能够较好地反映磁流变材料动态特性.在此基础上,建立磁流变智能镗杆的动力学模型,并对屈服前后的动态特性进行分析,同时推导智能镗杆中磁流变材料的屈服临界条件,分析结果揭示：屈服一般发生在以磁流变材料屈服前系统共振频率为中心的频段内,且磁场强度越高,屈服频段越窄.对磁流变智能镗杆动力学模型进行数值仿真研究,分析结果与实测数据对比后表明：该模型能够较准确地描述磁流变智能镗杆动力学特性.
Abstract:

To control the dynamic characteristics of magnetorheological (MR) intelligent boring bar precisely, its dynamic model needs to be investigated. Firstly, according to the dynamic characteristics of MR fluid in pre-yield region, yield region and post-yield region, the constitutive model of MR fluid was established on the basis of Kelvin model and Maxwell model, and the results of numerical analysis show that the model can describe the MR fluid‘s dynamic characteristics accurately. Then the dynamic model of MR intelligent boring bar was established based on the constitutive model of MR fluid, and its characteristics was analyzed in pre-yield region and post-yield region, respectively. And the yield critical condition of MR fluid in the intelligent boring bar was deduced, the results show that yield phenomenon always occurs in a certain frequency band centered around the natural frequency of pre-yield system, and the stronger the magnetic intensity is, the narrower the yield frequency band is. Lastly, the numerical simulations of the dynamic model were carried out, and the results show that the dynamic model can describe the MR intelligent boring bar’s dynamic characteristics accurately．
出版日期: 2010-12-23
:  TG 502.36  
基金资助:

国家自然科学基金资助项目(50405036);浙江省自然科学基金重点资助项目(Z1090373).
通讯作者: 梅德庆，男，教授.     E-mail: medqmei@zju.edu.cn
作者简介: 孔天荣（1979－），男，浙江宁波人，博士生，研究方向为振动控制、智能材料与智能结构．E-mail: tianrongk@zju.edu.cn
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引用本文:

孔天荣,李欣,梅德庆,陈子辰. 磁流变智能镗杆的动力学模型[J]. J4, 2010, 44(11): 2050-2055.

KONG Tian-rong, LI Xin, MEI De-qing, CHEN Zi-chen. Dynamic model of magnetorheological  intelligent boring bar. J4, 2010, 44(11): 2050-2055.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008973X.2010.11.002    或    http://www.zjujournals.com/eng/CN/Y2010/V44/I11/2050

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