Efficient Method for Identifying Key Errors Based on 21-Geometric-Error Measurement of Three Linear Axes of Machine Tools

Author:

Zheng Fajia1,Zhang Bin1,Zhao Yuqiong1,Li Jiakun1ORCID,Long Fei1,Feng Qibo1ORCID

Affiliation:

1. Key Lab of Luminescence and Optical Information, Ministry of Education, Beijing Jiaotong University, Beijing 100044, China

Abstract

Key errors of machine tools have a significant impact on their accuracy, however accurately and quickly measuring the geometric errors of machine tools is essential for key error identification. Fortunately, a quick and direct laser measurement method and system for 21 geometric errors of three linear axes of machine tools were proposed previously, which enables the measurement of all 21 geometric errors via a one-step installation and a three-step automated measurement process. Based on this, to efficiently identify the key error factors, this paper first utilizes the 21 geometric errors obtained from the proposed measurement system to evaluate the contribution of each error to the volumetric errors of machine tools, leading to the building of a 21-geometric-error sensitivity analysis model. Then, experiments are carried out on the vertical machining tool TH5656, and all 21 geometric errors are obtained in 5 min. After this, the volumetric error distribution in the machining workspace is mapped according to the relationship between the geometric errors and the machining errors, and the key error factors affecting the manufacturing and machining accuracy of the TH5656 are ultimately determined. Thus, this new method provides a way to quickly identify key errors of the three linear axes of machine tools, and offers guidance for the machine tool configuration design, machining technology determination, and geometric error compensation.

Funder

Science and Technology Innovation Project of Xiong’an New Area of China

National Natural Science Foundation of the China-Major Program

Publisher

MDPI AG

Reference22 articles.

1. Influence of position-dependent geometric errors of rotary axes on a machining test of cone frustum by five-axis machine tools;Hong;Precis. Eng.,2011

2. A methodology for systematic geometric error compensation in five-axis machine tools;Khan;Int. J. Adv. Manuf. Technol.,2011

3. Integrated geometric error modeling, identification and compensation of CNC machine tools;Zhu;Int. J. Adv. Manuf. Technol.,2012

4. Machine tool calibration: Measurement, modeling, and compensation of machine tool errors;Gao;Int. J. Mach. Tools Manuf.,2023

5. Error compensation in machine tools—A review Part I: Geometric, cutting-force induced and fixture-dependent errors;Ramesh;Int. J. Mach. Tools Manuf.,2000

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3