Fast Detection of Chatter in End-Milling Using Pseudo Auto-Correlation Function

Author:

Shimana Kenji, ,Kondo Eiji,Karashima Hiroko,Kawagoishi Norio, ,

Abstract

The chatter vibrations cause problems, such as the reduction of tool life, tool fracture, and a deterioration in the quality of the machined surface. This paper presents a fast detection method for expected chatter in high-speed end-milling. In this study, a pseudo auto-correlation function is applied to tool vibration data sampled at intervals as the spindle rotated at a constant angle. The calculation time for the pseudo auto-correlation function is expected to be shorter than that of the FFT method. As a result, it was indicated that detection reliability under the proposed method was approximately equal to the detection reliability by the previous methods by using tool vibration data sampled at constant intervals of time.

Publisher

Fuji Technology Press Ltd.

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 7 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. Chatter detection in milling processes—a review on signal processing and condition classification;The International Journal of Advanced Manufacturing Technology;2023-02-07

2. Hilbert-Huang Transform Analysis of Machining Stability in Ball-Nose End-Milling of Curved Surface;International Journal of Automation Technology;2020-05-05

3. Milling Process Monitoring Based on Vibration Analysis Using Hilbert-Huang Transform;International Journal of Automation Technology;2018-09-05

4. Highly Dynamic Spindle Integrated Magnet Actuators for Chatter Reduction;International Journal of Automation Technology;2018-09-05

5. Integrated Chatter Monitoring Based on Sensorless Cutting Force/Torque Estimation in Parallel Turning;International Journal of Automation Technology;2017-03-01

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