An embedded multi-sensor system on the rotating dynamometer for real-time condition monitoring in milling

被引:43
作者
Rizal, Muhammad [1 ]
Ghani, Jaharah A. [2 ]
Nuawi, Mohd Zaki [2 ]
Haron, Che Hassan Che [2 ]
机构
[1] Syiah Kuala Univ UNSYIAH, Dept Mech Engn, Fac Engn, Darussalam 23111, Banda Aceh, Indonesia
[2] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Mech & Mat Engn, Bangi 43600, Selangor, Malaysia
关键词
Multi-sensor system; Machining signal measurement; Cutting force; Torque; Vibration; Temperature; Wireless system; TOOL-WEAR; CUTTING FORCE; TEMPERATURE; DESIGN; TORQUE; HOLDER; SENSOR;
D O I
10.1007/s00170-017-1251-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The newly developed multi-sensor system for a milling process sensor system is capable of simultaneously measuring six channels of machining signals using a rotating tool incorporating a wireless system. Furthermore, the system can be used to measure the spindle torque, T (q) ; tool vibration in the z-axis, A (z) ; tool tip temperature, T (m) and the three components of the cutting force. Cutting force signals are generated by using a cross-beam-legged transducer embedded in the standard milling tool holder. A mini accelerometer is placed under the force transducer, whereas a thermocouple is positioned under a cutting tool insert close to the cutting edge. All signals are collected and sent to the data logger system via an inductive wireless transmitter unit incorporated into the standard rotating tool holder. The calibration, verification and real experimental machining test results reveal that the sensor system is both suitable and reliable for measuring machining signals. The measured signals are found to be importantly related to changes in the flank wear state. Therefore, this system can be used for real-time tool condition monitoring in the milling process.
引用
收藏
页码:811 / 823
页数:13
相关论文
共 50 条
  • [31] A dual sensor for real-time monitoring of glucose and oxygen
    Zhang, Liqiang
    Su, Fengyu
    Buizer, Sean
    Lu, Hongguang
    Gao, Weimin
    Tian, Yanqing
    Meldrum, Deirdre
    BIOMATERIALS, 2013, 34 (38) : 9779 - 9788
  • [32] BeeSmart: a real-time remote monitoring and control system for beekeeping
    Navarro, Juan
    Lima, Fabio
    Porto, Marin
    Steinfeld, Leonardo
    Cracco, Pablo
    2022 SYMPOSIUM ON INTERNET OF THINGS, SIOT, 2022,
  • [33] Design of Motor Multi-parameter Real-time Data Acquisition System
    Kang, Zhiliang
    Xu, Lijia
    Zou, Zhiyong
    MACHINERY, MATERIALS SCIENCE AND ENERGY ENGINEERING, 2015, : 815 - 823
  • [34] Multi-Sensor System for Remote Environmental (Air and Water) Quality Monitoring
    Simic, Mitar
    Stojanovic, Goran M.
    Manjakkal, Libu
    Zaraska, Krzystof
    2016 24TH TELECOMMUNICATIONS FORUM (TELFOR), 2016, : 15 - 18
  • [35] Real-time monitoring system for urban wastewater
    Di Lecce, Vincenzo
    Petruzzelli, Domenico
    Guaragnella, Cataldo
    Cardellicchio, Angelo
    Dentamaro, Giuseppe
    Quarto, Alessandro
    Soldo, Domenico
    Dario, Rita
    2017 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY, AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2017, : 36 - 40
  • [36] Five-Axis Machine Tool Condition Monitoring Using dSPACE Real-Time System
    Sztendel, S.
    Pislaru, C.
    Longstaff, A. P.
    Fletcher, S.
    Myers, A.
    25TH INTERNATIONAL CONGRESS ON CONDITION MONITORING AND DIAGNOSTIC ENGINEERING (COMADEM 2012), 2012, 364
  • [37] Design and Implementation of Real Time Embedded Tele-Health Monitoring System
    Kale, Suhas
    Khandelwal, C. S.
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 771 - 774
  • [38] Online Condition Monitoring of Rotating Machines by Self-Powered Piezoelectric Transducer from Real-Time Experimental Investigations
    Khazaee, Majid
    Rosendahl, Lasse Aistrup
    Rezania, Alireza
    SENSORS, 2022, 22 (09)
  • [39] Design and implementation of real time embedded tele-health monitoring system
    Kale, Suhas
    Khandelwal, C.S.
    Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2013, 2013, : 771 - 774
  • [40] Control of Oxygen Sensor Based on Dspace Real-time Simulation System
    Wang, Jie
    Li, Bin
    Jiang, Jianhua
    Li, Xi
    2015 CHINESE AUTOMATION CONGRESS (CAC), 2015, : 1225 - 1230