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基于径向基函数法的五轴数控机床空间动态性能研究
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  • 英文篇名:Study on the Spatial Dynamic Performance of Five-axis NC Machine Tool Based on Radial Basis Function Method
  • 作者:杨闪闪 ; 王玲 ; 廖启豪 ; 梁斐然 ; 殷国富
  • 英文作者:YANG Shanshan;WANG Ling;LIAO Qihao;LIANG Feiran;YIN Guofu;School of Aeronautics and Astronautics, Sichuan University;School of Manufacture Science and Engineering, Sichuan University;Chengdu Precise CNC Machine Tool Co.,LTD.;
  • 关键词:径向基函数法 ; 加工空间 ; 动态特性 ; 固有频率 ; 试验设计
  • 英文关键词:radial basis function method;;machining space;;dynamic characteristics;;natural frequency;;experiment design
  • 中文刊名:JXXB
  • 英文刊名:Journal of Mechanical Engineering
  • 机构:四川大学空天科学与工程学院;四川大学制造科学与工程学院;成都普瑞斯数控机床有限公司;
  • 出版日期:2019-06-24 10:28
  • 出版单位:机械工程学报
  • 年:2019
  • 期:v.55
  • 基金:国家科技重大专项(2017ZX04020001-005);; 四川省科技支撑计划(2017GZ0071)资助项目
  • 语种:中文;
  • 页:JXXB201909017
  • 页数:10
  • CN:09
  • ISSN:11-2187/TH
  • 分类号:157-166
摘要
在对数控机床进行动态性能分析时,局限于某一固定位姿获取的动态特性信息不足以描述整个加工空间内的机床动态特性。针对这一问题,提出一种基于径向基函数理论的五轴数控机床空间动态特性分析方法,利用机床实测试验数据和径向基函数法来构建五轴联动数控机床的空间动态特性函数模型。该方法以机床固有频率这一关键动力学性能指标为例,建立机床整机动态特性与机床位姿之间的数学关系。以一五轴数控机床为研究对象,将试验设计方案确定的各联动轴的坐标作为试验样本点,采用德国M+P振动试验设备提取样本点的试验数据,构建反映机床空间位姿与机床前6阶固有频率关系的函数表达式,并通过计算模型质量评价指标验证该模型的有效性。结果表明,该方法能有效预测在加工空间内固有频率的分布规律及其各轴向位移变化的灵敏度,为合理规划工艺路线提高加工精度提供技术支持。
        Dynamic performance analysis of NC machine tools is limited to the dynamic characteristics of a fixed position. Thus, a method to research five-axis linkage machine tool's dynamic characteristics in the generalized machining space is proposed based on the machine tools measured test data and the radial basis function method. In this method, the natural frequency is taken as the critical index to describe the whole machine tool dynamic characteristics, with which the mathe-matic relationship between dynamic characteristics and spatial poses are analyzed. The proposed method is applied in a five-axis machining center to verify its feasibility.The various pose combinations of the moving parts are arranged as the samples by the Hierarchical Latin hypercube experiment design, and the first six orders natural frequencies are acquired by machine tool test with the M+P system, a mathmatic function model is established to describe the connections between the pose features and the natural frequencies. And the accuracy of the established model is validated after calculating the valuating indexes. Results show that the method could effectively predict the machining space distribution law of the natural frequency and the axial displacement change sensitivity, providing a theoretical support for the process planning and dynamic optimization of the machine tool.
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