机床
振动
多体系统
有限元法
模态分析
刚体
计算机科学
机械加工
情态动词
工程类
自由度(物理和化学)
点(几何)
职位(财务)
运动学
结构工程
机械工程
控制理论(社会学)
人工智能
声学
数学
物理
几何学
经典力学
量子力学
经济
化学
高分子化学
财务
控制(管理)
作者
Hoai Nam Huynh,Yusuf Altintaş
出处
期刊:Journal of Manufacturing Science and Engineering-transactions of The Asme
[ASME International]
日期:2020-10-20
卷期号:143 (2)
被引量:24
摘要
Abstract A systematic modeling of multibody dynamics of five-axis machine tools is presented in this article. The machine is divided into major subassemblies such as spindle, column, bed, tool changer, and longitudinal and rotary drives. The inertias and mass center of each subassembly are calculated from the design model. The subassemblies are connected with elastic springs and damping elements at contact joints to form the complete multibody dynamic model of the machine that considers the rigid body kinematics and structural vibrations of the machine at any point. The unknown elastic joint parameters are estimated from the experimental modal analysis of the machine tool. The resulting position-dependent multibody dynamic model has the minimal number of degrees-of-freedom that is equivalent to the number of measured modes, as opposed to thousands used in finite element models. The frequency response functions of the machine can be predicted at any posture of the five-axis machine, which are compared against the directly measured values to assess the validity of model. The proposed model can predict the combined rigid body motion and vibrations of the machine with computational efficiency, and hence, it can be used as a digital twin to simulate its dynamic performance in machining operations and tracking control tests of the servo drives.
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