基于虚拟材料层和孪生有限元模型的机床主轴固定结合部动力学建模

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摘要针对主轴系统固定结合部传统弹簧阻尼单元法等效建模精度较低的问题，采用虚拟材料层法建立主轴系统固定结合部的孪生物理模型，对模型进行有限元分析计算，以虚拟材料层相关参数（弹性模量、密度、泊松比）作为输入，计算机床主轴的固有频率，并以此数据样本训练深度神经网络，建立主轴系统的孪生有限元模型。采用粒子群优化算法，以虚拟材料层相关参数为优化变量，以孪生有限元模型计算的理论固有频率与对应实验值的相对误差最小为目标函数，优化确定虚拟材料层的相关参数。以VMC850E型立式加工中心主轴的刀柄-夹头-刀具系统两个固定结合部为实例进行了建模、实验、参数识别等分析，分析结果表明: 该方法是可行的、有效的，建模精度达到了1%以内。

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	杜新欣
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	李孝茹
	朱坚民

关键词 ：机床主轴, 固定结合部, 虚拟材料层, 孪生有限元模型, 参数识别

Abstract：To fixed joint of machine tool spindle of the traditional spring damping element method equivalent modeling problem of low precision, virtual material layer method is used to establish a twin physical model of fixed joint of machine tool spindle, finite element analysis for the model is calculated, by the virtual material layer related parameters (elastic modulus, density, poisson's ratio) as input, to calculate the natural frequency of machine tool spindle. The twin finite element model of the spindle system is established by training the deep neural network with the data samples. Particle swarm optimization (PSO) algorithm was used to optimize and determine the relevant parameters of virtual material layer, taking the relevant parameters of virtual material layer as the optimization variable and the relative error between theoretical natural frequency calculated by twin finite element model and corresponding experimental value as the objective function. The modeling, experiment and parameter identification of the two fixed joints of the toolhold-collet- tool system of the VMC850E vertical machining center spindle are analyzed. The analysis results show that the method is feasible and effective, and the modeling accuracy is less than 1%.

Key words： machine tool spindle fixed joint virtual material layer twin finite element model parameter identification

收稿日期: 2022-03-08 出版日期: 2023-05-15

引用本文:

杜新欣，张玮，黄之文，李孝茹，朱坚民. 基于虚拟材料层和孪生有限元模型的机床主轴固定结合部动力学建模[J]. 振动与冲击, 2023, 42(9): 11-18.
DU Xinxin, ZHANG Wei, HUANG Zhiwen, LI Xiaoru, ZHU Jianmin. Dynamic modeling of fixed joint of machine tool spindle based on virtual material layer and twin finite element model. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(9): 11-18.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I9/11

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