个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 数字化设计研究所所长
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
办公地点:机械楼9120
电子邮箱:dlunwang@dlut.edu.cn
Invariant errors of discrete motion constrained by actual kinematic pairs
点击次数:
论文类型:期刊论文
发表时间:2018-01-01
发表刊物:MECHANISM AND MACHINE THEORY
收录刊物:SCIE、EI
卷号:119
页面范围:74-90
ISSN号:0094-114X
关键字:Invariants; Error; Differential geometry; Kinematic pair; Kinematics; Spindle
摘要:Motion of a rigid body is systematically investigated using invariants of line-trajectories, and the invariant errors are proposed for the first time to evaluate accuracy of motion for three actual joints C, H and R. A general spatial motion of a rigid body can be dissolved into the following motion with a reference line, having four DOFs, and the relative motion about and along the reference line, having two additional DOFs. The necessary and sufficient conditions of cylindrical motion, helical motion and rotational motion in both continuous and discrete error forms are respectively derived by invariants of line-trajectories and global invariants with minimal values in differential geometry. For discrete data sets, a novel scheme based on the invariants and their fitting errors obtained by the saddle point programming, is developed to characterize the nominal motion and the error-induced motion. The invariant errors are presented to quantify the accuracy of the discrete error motion of joints C, H and R. Experiment was carried out on a machine tool spindle to demonstrate the advantages of the proposed invariants-based error evaluation scheme. The scheme provides a new method for quantifying accuracy of motion and improving performances of machine tools and robots. (C) 2017 Elsevier Ltd. All rights reserved.