Prediction of spindle dynamics in milling by sub-structure coupling
Prediction of spindle dynamics in milling by sub-structure coupling
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DOI：
10.1016/j.ijmachtools.2005.05.026
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发表时间：
2006-03
影响因子：
14
通讯作者：
M. Movahhedy;Javad M. Gerami
中科院分区：
文献类型：
--
作者：
M. Movahhedy;Javad M. Gerami
加工过程的稳定性取决于机床的动力学等因素。然而，机床的动力学随着刀具的变化而变化。为了避免重复测量的需要，可以使用子结构分析来耦合刀具和主轴频率响应函数。这种方法的一个主要困难是确定两个子结构之间的连接刚度和阻尼。特别是，关节处的旋转响应（RDOF）的测量是一项困难的任务。在这项研究中，提出了一个简单的联合模型，考虑RDOF。结果表明，该模型在考虑弯曲模式的同时避免了RDOF测量。采用基于遗传算法的优化方法对模型参数进行优化。采用容差耦合分析方法，分别对由实验和有限元得到的机床和刀具频响函数进行耦合。以这种方式获得的RC为基础的响应进行比较，与实验的频响函数显示出良好的一致性，并证实了联合模型已成功地预测工具弯曲模式。
The Stability of machining process depends on the dynamics of the machine tool, among other things. However, the dynamics of the machine tool changes when the tool is changed. To avoid the need for repeating the measurements, sub-structuring analysis may be used to couple the tool and spindle frequency response functions. A major difficulty in this approach is the determination of joint stiffness and damping between the two sub-structures. In particular, the measurement of rotational responses (RDOFs) at joints is a difficult task. In this research, a simple joint model that accounts for RDOFs is proposed. It is shown that this model avoids RDOF measurement while taking into account the bending modes. An optimization method based on genetic algorithm is employed to find parameters of the joint model. Receptance coupling analysis is used to couple the machine tool and tool FRFs obtained from experiment and FE, respectively. The RC based response obtained in this way is compared with experimental FRF which shows good agreement and confirms that the joint model has been successful in predicting the tool bending modes.