摘要
针对三轴义齿雕铣机在加工过程中存在空间误差较大、加工精度较低等缺点,提出了一种对空间误差实施解析与补偿的新方法。首先分析机床拓扑结构,利用多体系统理论确定机床低序体阵列和运动学约束链,建立空间误差模型。然后对三轴雕铣机的各项几何误差进行测量并求解其空间误差值,分别计算各项几何误差相对于机床空间误差的相关性系数,以辨识对空间精度影响较大的重要几何误差分量。最后利用线性回归模型建立空间误差与位置的隐射函数,以便建立空间误差补偿模型。以z轴为例,对所建立的误差补偿模型进行实验验证。结果表明通过补偿后z轴空间误差从1. 26 mm降低到0. 735 mm,降幅为41. 7%,义齿加工精度得到了有效的提高,可见该方法有一定的实用价值。
Aiming at the disadvantages of large positioning error and inaccurate machining precision, a new method of spatial positioning error analysis and compensation is proposed. By analyzing the mechanical topology, using the multi-body system theory to determine its low-order body array list and kinematics constraint chain, and then establish space error modeling. Then the geometric error of the three-axis carving milling machine is measured and the spatial error value is solved, and the correlation coefficient of each geometric error with respect to the machine space error is calculated to identify the important geometric error component which has great influence on the spatial precision. Finally a linear regression model is used to establish the implicit function of spatial error and position to establish a spatial error compensation model. Taking the z-axis as an example, the experimentally verified error compensation model is carried out. The results show that the z axis positioning error is reduced from 1. 26 mm to 0. 735 mm after compensation, the reduction is 41. 7 %, and the machining accuracy of denture is effectively improved. The method has certain practical application value.
作者
要小鹏
殷国富
黄华川
YAO Xiaopeng;Yin Guofu;HUANG Huachuan(School of Medical Information and Engineering,Southwest Medical University,Luzhou 646000,CHN;Manufacture Institute,Sichuan University,Chendu 610065,CHN;Manufacture Institute,Southwest University of Science and Technology,Mianyang 621010,CHN)
出处
《制造技术与机床》
北大核心
2019年第4期112-118,共7页
Manufacturing Technology & Machine Tool
基金
国家自然科学基金资助项目(81527806)
四川省教育厅资助项目(16ZA0135)
西南医科大学校级资助项目(2017-ZRZD-019)
关键词
义齿
三轴雕铣机
空间误差
相关性辨识
补偿
denture
vertical carving and milling machine
spatial error
correlation identification
compensation
