Accuracy improvement for RLLLR five-axis machine tools: A posture and position compensation method for geometric errors

职位(财务) 补偿(心理学) 运动学 机床 过程(计算) 计算机科学 点(几何) 控制理论(社会学) 算法 计算机视觉 人工智能 数学 工程类 机械工程 几何学 控制(管理) 物理 操作系统 经典力学 精神分析 经济 财务 心理学
作者
Ruijun Liang,Zhiqiang Wang,Weifang Chen,Wenhua Ye
出处
期刊:Journal of Manufacturing Processes [Elsevier BV]
卷期号:71: 724-733 被引量:20
标识
DOI:10.1016/j.jmapro.2021.09.037
摘要

Compensating geometric errors on machine tools requires further improvement for the purpose of high accuracy, because most current methods only focus on positions of cutting points, while ignoring vector errors of the rotary axes' postures; and they usually use the calculated compensation values to directly modify NC commands or axial movements, without considering the errors that the compensated movements themselves would create. This paper proposes a novel compensation method that includes both position and posture errors of the tool center point of a RLLLR five-axis machine tool. First, the position and posture errors are modeled through the multi-body system kinematics of the five-axis machine. Second, both kinds of errors are compensated in an off-line way that compares the coordinates and angles point by point through iterations, thus the extra errors that compensated results generate can be eliminated. The iteration process is terminated under control of the allowable error range. Posture errors are first compensated through correcting the angles of the rotary axes, and then position errors are corrected by modifying TCP's coordinates. Third, a program that incorporates the error molding and the compensation algorithms are developed. It can automatically complete the process of calculating error matrices, identifying parameters and outputting commands. Finally, the comparison experiments were conducted on the linear axes' linear and arc movements, as well as the rotary axes' rotating movements, and the results validated that the proposed method could effectively improve geometric accuracy.
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