MODEL BASED COMPUTATIONALLY EFFICIENT METHOD FOR ON-LINE DETECTION OF CHATTER IN MILLING

被引：0
|
作者：
Ma, Lei [1 ]
Melkote, Shreyes [1 ]
Castle, James
机构：
[1] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
来源：
PROCEEDINGS OF THE ASME 8TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2013, VOL 2 | 2013年
关键词：
Chatter; Milling; Sensor; Algorithm; IN-PROCESS DETECTION; PATTERN-RECOGNITION; IDENTIFICATION; WAVELET; PREDICTION; STABILITY; STATE; FREQUENCIES; AVOIDANCE; VIBRATION;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a model-based computationally efficient method for detecting milling chatter in its incipient stages. Based on a complex exponentials model for the dynamic chip thickness, the chip regeneration effect is amplified and isolated from the cutting force signal for early chatter detection. The proposed method is independent of the cutting conditions. With the aid of a one tap adaptive filter, the proposed method is also found to be able to distinguish between chatter and the dynamic transients in the cutting forces due to sudden changes in workpiece geometry and tool entry/exit. The proposed method is experimentally validated.
引用
收藏
页数：11
相关论文
共 50 条
  • [1] A Model-Based Computationally Efficient Method for On-Line Detection of Chatter in Milling
    Ma, Lei
    Melkote, Shreyes N.
    Castle, James B.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2013, 135 (03):
  • [2] On-Line Energy-Based Milling Chatter Detection
    Caliskan, Hakan
    Kilic, Zekai Murat
    Altintas, Yusuf
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2018, 140 (11):
  • [3] Multi-scale permutation entropy based on-line milling chatter detection method
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an
    710072, China
    Jixie Gongcheng Xuebao, 9 (206-212):
  • [4] On-line chatter detection in milling with hybrid machine learning and physics-based model
    Rahimi, M. Hossein
    Huynh, Hoai Nam
    Altintas, Yusuf
    CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2021, 35 : 25 - 40
  • [5] ON-LINE CHATTER RECOGNITION AND SUPRESSION IN MILLING BASED ON SMART CNC
    Jin, Hongyu
    Han, Zhenyu
    Shao, Zhongxi
    2016 INTERNATIONAL SYMPOSIUM ON FLEXIBLE AUTOMATION (ISFA), 2016, : 267 - 270
  • [6] On-line chatter detection in milling using fast kurtogram and frequency band power
    Liu, Changfu
    Gao, Xingjun
    Chi, Dexia
    He, Yan
    Liang, Min
    Wang, Hanbo
    EUROPEAN JOURNAL OF MECHANICS A-SOLIDS, 2021, 90
  • [7] On-line chatter detection in milling using fast kurtogram and frequency band power
    Liu, Changfu
    Gao, Xingjun
    Chi, Dexia
    He, Yan
    Liang, Min
    Wang, Hanbo
    European Journal of Mechanics, A/Solids, 2021, 90
  • [8] INVESTIGATION ON ADAPTIVE FILTER FOR ON-LINE DETECTION AND ACTIVE CONTROL OF CHATTER VIBRATION IN MILLING PROCESS
    Wan, Shaoke
    Li, Xiaohu
    Su, Wenjun
    Hong, Jun
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 8, 2020,
  • [9] On-line chatter detection and control in boring based on an electrorheological fluid
    Wang, M
    Fei, RY
    MECHATRONICS, 2001, 11 (07) : 779 - 792
  • [10] On-line chatter detection in milling using drive motor current commands extracted from CNC
    Aslan, Deniz
    Altintas, Yusuf
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2018, 132 : 64 - 80
12345