A multi-sensor integrated smart tool holder for cutting process monitoring

被引:0
|
作者
Zhengyou Xie
Yong Lu
Xinlong Chen
机构
[1] China Academy of Space Technology,Qian Xuesen Laboratory of Space Technology
[2] Harbin Institute of Technology,School of Mechatronics Engineering
关键词
Smart tool holder; Sensor integration; Cutting force measurement; Vibration measurement; Milling process; Tool condition monitoring;
D O I
暂无
中图分类号
学科分类号
摘要
As two of the most significant parameters reflecting the cutting process, cutting force, and vibration are often adopted for tool condition monitoring (TCM) which is especially important in modern machining. Hence, various methods and sensors for detecting these two signals have been proposed and developed. In this study, an innovative multi-sensor integrated smart tool holder is designed, constructed, and tested, which is capable of measuring triaxial cutting force, torque, and cutting vibration simultaneously and wirelessly in milling operations. A standard commercial tool holder is firstly modified to integrate six capacitive sensors and an acceleration sensor. All the sensors and other electronics, like data acquisition and transmitting unit, are incorporated into the tool holder as a whole system. The characteristics of the device are then determined by a series of tests. Besides, an effective TCM model is built by fusing the features of cutting force and vibration. Experimental results showed good performance of the proposed system which could support wide and flexible application scenarios.
引用
收藏
页码:853 / 864
页数:11
相关论文
共 50 条
  • [1] A multi-sensor integrated smart tool holder for cutting process monitoring
    Xie, Zhengyou
    Lu, Yong
    Chen, Xinlong
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 110 (3-4): : 853 - 864
  • [2] Developing smart multi-sensor monitoring for tool wear in stamping process
    Shanbhag, V. V.
    Pereira, M. P.
    Voss, B.
    Ubhayaratne, I.
    Rolfe, B. F.
    [J]. 38TH INTERNATIONAL DEEP DRAWING RESEARCH GROUP ANNUAL CONFERENCE (IDDRG 2019), 2019, 651
  • [3] Milling tool wear prediction using an integrated wireless multi-sensor tool holder and convolutional neural networks
    Bonab, Sirous Shirpour
    Arezoo, Behrooz
    [J]. INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2024,
  • [4] Multi-sensor Data Fusion and Feature Extraction for Cutting Tool Condition Monitoring: A Review
    Liu, Riliang
    Zhu, Zhiying
    Zeng, Yunfei
    [J]. 2022 IEEE 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2022), 2022, : 588 - 593
  • [5] On multi-sensor monitoring of fiber laser fusion cutting
    Levichev, Nikita
    Duflou, Joost R.
    [J]. 18TH NORDIC LASER MATERIALS PROCESSING CONFERENCE (18TH NOLAMP), 2021, 1135
  • [6] A multi-sensor based online tool condition monitoring system for milling process
    Zhang, X. Y.
    Lu, X.
    Wang, S.
    Wang, W.
    Li, W. D.
    [J]. 51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 1136 - 1141
  • [7] Based on multi-sensor tool steel hard turning process monitoring and controlling
    Wu, Fei
    Wang, Xi
    Zhong, Weiwu
    Yu, Hui
    Liu, Libing
    Liao, Dongting
    [J]. PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2, 2010, 108-111 : 549 - +
  • [8] A sensor-integrated tool for cutting force monitoring
    Santochi, M
    Dini, G
    Tantussi, G
    Beghini, M
    [J]. CIRP ANNALS 1997 MANUFACTURING TECHNOLOGY, VOLUME 46/1/1997: ANNALS OF THE INTERNATIONAL INSTITUTION FOR PRODUCTION ENGINEERING RESEARCH, 1997, 46 : 49 - 52
  • [9] A new multi-sensor integrated index for drought monitoring
    Jiao, Wenzhe
    Tian, Chao
    Chang, Qing
    Novick, Kimberly A.
    Wang, Lixin
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2019, 268 : 74 - 85
  • [10] A Smart Data Annotation Tool for Multi-Sensor Activity Recognition
    Diete, Alexander
    Sztyler, Timo
    Stuckenschmidt, Heiner
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2017,