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
  • [1] An embedded multi-sensor system on the rotating dynamometer for real-time condition monitoring in milling
    Muhammad Rizal
    Jaharah A. Ghani
    Mohd Zaki Nuawi
    Che Hassan Che Haron
    The International Journal of Advanced Manufacturing Technology, 2018, 95 : 811 - 823
  • [2] A multi-sensor based online tool condition monitoring system for milling process
    Zhang, X. Y.
    Lu, X.
    Wang, S.
    Wang, W.
    Li, W. D.
    51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 1136 - 1141
  • [3] A Wireless System and Embedded Sensors on Spindle Rotating Tool for Condition Monitoring
    Rizal, Muhammad
    Ghani, Jaharah A.
    Nuawi, Mohd Zaki
    Haron, Che Hassan Che
    ADVANCED SCIENCE LETTERS, 2014, 20 (10-12) : 1829 - 1832
  • [4] Multi-sensor real-time monitoring of dam behavior using self-adaptive online sequential learning
    Ren, Qiubing
    Li, Mingchao
    Kong, Ting
    Ma, Jie
    AUTOMATION IN CONSTRUCTION, 2022, 140
  • [5] A Stacked Multi-Sensor Platform for Real-Time MRI Guided Interventions
    Zolfaghari, Parviz
    Erden, Oguz K.
    Tumer, Murat
    Yalcinkaya, Arda D.
    Ferhanoglu, Onur
    OPTICS AND LASERS IN ENGINEERING, 2023, 161
  • [6] Sensor Fusion for Condition Monitoring System of End Milling Operations
    Abbas, Jabbar
    Al-Habaibeh, Amin
    Su, Daizhong
    ADVANCED DESIGN AND MANUFACTURE III, 2011, 450 : 267 - 270
  • [7] Multi-Sensor Data Fusion for Real-Time Surface Quality Control in Automated Machining Systems
    Garcia Plaza, E.
    Nunez Lopez, P. J.
    Beamud Gonzalez, E. M.
    SENSORS, 2018, 18 (12)
  • [8] Concept for an Airborne Real-Time ISR System with Multi-Sensor 3D Data Acquisition
    Harake, Laura
    Schilling, Hendrik
    Blohm, Christian
    Hillemann, Markus
    Lenz, Andreas
    Becker, Merlin
    Keskin, Goeksu
    Middelmann, Wolfgang
    ELECTRO-OPTICAL AND INFRARED SYSTEMS: TECHNOLOGY AND APPLICATIONS XIII, 2016, 9987
  • [9] Real-time tool wear monitoring in milling using a cutting condition independent method
    Nouni, Mehdi
    Fussell, Barry K.
    Ziniti, Beth L.
    Linder, Ernst
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2015, 89 : 1 - 13
  • [10] Design and Implementation of a Multi-Sensor Monitoring System
    Ye Jihua
    Liu Yan
    Nie Xiaoshi
    10TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2015), 2015, : 921 - 924