Approximation Model Development and Dynamic Characteristic Analysis Based on Spindle Position of Machining Center

Author:

Kim Ji-Wook,Kim Dong-Yul,Won Hong-InORCID,Noh Yoo-JeongORCID,Ko Dae-CheolORCID,Jang Jin-SeokORCID

Abstract

To evaluate the dynamic characteristics at all positions of the main spindle of a machine tool, an experimental point was selected using a full factorial design, and a vibration test was conducted. Based on the measurement position, the resonant frequency was distributed from approximately 236 to 242 Hz. The approximation model was evaluated based on its resonant frequencies and dynamic stiffness using regression and interpolation methods. The accuracy of the resonant frequency demonstrated by the kriging method was approximately 89%, whereas the highest accuracy of the dynamic stiffness demonstrated by the polynomial regression method was 81%. To further verify the approximation model, its dynamic characteristics were measured and verified at additional experimental points. The maximum errors yielded by the model, in terms of the resonant frequency and dynamic stiffness, were 1.6% and 7.1%, respectively.

Funder

Korea Institute of Industrial Technology

Publisher

MDPI AG

Subject

General Materials Science

Reference31 articles.

1. Process Monitoring Technology Based on Virtual Machining

2. A Study on Intelligent On-Line Tool Condition Monitoring System for Turning Operations;Choi;J. Korean Soc. Precis. Eng.,1992

3. Energy Consumption Monitoring System for Each Axis of Machining Center

4. A Study on Realization of Machining Process and Condition in Virtual Space;Lee;Korean Soc. Mach. Tool Eng.,2005

5. A Study on Diagnosis and Prognosis for Machining Center Main Spindle Unit;Lee;J. Korean Soc. Manuf. Process Eng.,2016

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

1. Spindle Design of a Large High-speed Machine Center;Journal of the Korean Society of Manufacturing Process Engineers;2023-05-30

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