Rotation error separation of a UTF300 high-speed and precision motorized spindle

IF 2.3 4区工程技术 Q2 ENGINEERING, MECHANICAL

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Pub Date : 2024-09-10 DOI:10.1177/09544089241272775

Hui-min Wu, Jian-wei Ma

{"title":"Rotation error separation of a UTF300 high-speed and precision motorized spindle","authors":"Hui-min Wu, Jian-wei Ma","doi":"10.1177/09544089241272775","DOIUrl":null,"url":null,"abstract":"To improve the measurement accuracy of high-speed and precision motorized spindle rotary error as the research objective, based on the three-point method, an error separation model and an objective optimization function for noise-containing signals are developed. To improve the convergence speed, globally optimize the model objectives, and obtain the best optimization region of the sensor mounting angle, it is proposed that an enhanced adaptive particle swarm optimization algorithm be used. With the improved particle swarm algorithm, the convergence speed was greater than that of the primary particle swarm algorithm by more than 50%. The spindle radial rotation error was experimentally measured and separated using a high-speed vertical machining center, and the deviation between the separation result and the experimental rotation error was 4.5%, indicating that the separation result's accuracy was high. It also proved the correctness and feasibility of the optimization algorithm.","PeriodicalId":20552,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09544089241272775","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}

引用次数: 0

Abstract

To improve the measurement accuracy of high-speed and precision motorized spindle rotary error as the research objective, based on the three-point method, an error separation model and an objective optimization function for noise-containing signals are developed. To improve the convergence speed, globally optimize the model objectives, and obtain the best optimization region of the sensor mounting angle, it is proposed that an enhanced adaptive particle swarm optimization algorithm be used. With the improved particle swarm algorithm, the convergence speed was greater than that of the primary particle swarm algorithm by more than 50%. The spindle radial rotation error was experimentally measured and separated using a high-speed vertical machining center, and the deviation between the separation result and the experimental rotation error was 4.5%, indicating that the separation result's accuracy was high. It also proved the correctness and feasibility of the optimization algorithm.

查看原文本刊更多论文

UTF300 高速精密电主轴的旋转误差分离

以提高高速精密电主轴旋转误差的测量精度为研究目标，以三点法为基础，建立了含噪声信号的误差分离模型和目标优化函数。为了提高收敛速度，全局优化模型目标，并获得传感器安装角的最佳优化区域，建议使用增强型自适应粒子群优化算法。改进后的粒子群算法收敛速度比原始粒子群算法收敛速度快 50%以上。利用高速立式加工中心对主轴径向旋转误差进行了实验测量和分离，分离结果与实验旋转误差的偏差为 4.5%，表明分离结果的精度较高。这也证明了优化算法的正确性和可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 工程技术-工程：机械

CiteScore

3.80

自引率

16.70%

发文量

370

审稿时长

6 months

期刊介绍： The Journal of Process Mechanical Engineering publishes high-quality, peer-reviewed papers covering a broad area of mechanical engineering activities associated with the design and operation of process equipment.