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) 光学(聚焦) 算法 计算机视觉 观测误差 数控 机械加工 位置误差 人工智能 错误检测和纠正 直线运动 坐标测量机 补偿方式
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:22
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
星辰大海应助自由寻冬采纳,获得10
1秒前
林允夏子完成签到 ,获得积分10
1秒前
surfer363完成签到,获得积分10
2秒前
2秒前
田田圈发布了新的文献求助10
3秒前
汉堡包应助执着念薇采纳,获得30
3秒前
4秒前
4秒前
求助人员发布了新的文献求助10
4秒前
赖克宝关注了科研通微信公众号
5秒前
落寞臻发布了新的文献求助20
5秒前
直率小霜完成签到,获得积分10
5秒前
5秒前
zkl完成签到,获得积分10
5秒前
大模型应助俏皮的翩跹采纳,获得10
6秒前
6秒前
英姑应助木桶人plus采纳,获得10
6秒前
大老黑完成签到,获得积分10
6秒前
ZXDDDD完成签到,获得积分10
6秒前
6秒前
7秒前
空座位完成签到,获得积分10
7秒前
斯文败类应助求助人员采纳,获得10
7秒前
lunwen1997完成签到,获得积分10
8秒前
生物科研小白完成签到 ,获得积分10
8秒前
Xuuu完成签到,获得积分10
8秒前
搜集达人应助无尽可乐采纳,获得10
8秒前
9秒前
9秒前
9秒前
暴躁的夏烟完成签到,获得积分10
9秒前
科研小白发布了新的文献求助10
9秒前
9秒前
10秒前
搜集达人应助TT7采纳,获得10
10秒前
什么的什么完成签到,获得积分10
11秒前
11秒前
说话的月亮完成签到,获得积分10
12秒前
12秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Iron‐Sulfur Clusters: Biogenesis and Biochemistry 400
Healable Polymer Systems: Fundamentals, Synthesis and Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6069817
求助须知:如何正确求助?哪些是违规求助? 7901659
关于积分的说明 16334711
捐赠科研通 5210799
什么是DOI,文献DOI怎么找? 2787043
邀请新用户注册赠送积分活动 1769855
关于科研通互助平台的介绍 1648020