一种新的并联主轴头误差灵敏度分析方法

IF 2.9 Q2 ROBOTICS
Robotics Pub Date : 2023-09-11 DOI:10.3390/robotics12050129
Liping Wang, Mengyu Li, Guang Yu
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引用次数: 0

摘要

几何误差是影响并联主轴头输出精度的主要因素,有必要进行灵敏度分析以提取关键几何误差。传统的灵敏度分析方法对输出的位置和方位误差进行独立分析,定义了多个灵敏度指标,难以确定临界几何误差。本文提出了综合考虑位置和方位误差的灵敏度指标。首先,介绍了混合动力机床的结构,推导了TCP位置误差模型。然后引入刀具半径和有效切削长度,定义了灵敏度指标;然后,利用提出的灵敏度指标对三自由度并联主轴头进行灵敏度分析,提取出6个关键几何误差。通过提高临界几何误差,可大大提高并联主轴头的加工精度。提出的灵敏度分析方法对机床精度设计具有重要的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Error Sensitivity Analysis Method for a Parallel Spindle Head
Geometric errors are the main factors affecting the output accuracy of the parallel spindle head, and it is necessary to perform a sensitivity analysis to extract the critical geometric errors. The traditional sensitivity analysis method analyzes the output position and orientation errors independently, defining multiple sensitivity indices and making it difficult to determine critical geometric errors. In this paper, we propose sensitivity indices that can comprehensively consider position and orientation errors. First, the configuration of the hybrid machine tool is introduced, and the TCP position error model is derived. Then, the tool radius and the effective cutting length are introduced, and the sensitivity indices are defined. After that, the sensitivity analysis of the 3-DOF parallel spindle head is performed using the proposed sensitivity indices, and six critical geometric errors are extracted. The machining accuracy of the parallel spindle head can be greatly improved by improving the critical geometric errors. The proposed sensitivity analysis method can provide important guidance for machine tool accuracy design.
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来源期刊
Robotics
Robotics Mathematics-Control and Optimization
CiteScore
6.70
自引率
8.10%
发文量
114
审稿时长
11 weeks
期刊介绍: Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM
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