Condition Monitoring in a Machine Tool Spindle using Wireless Sensor

被引:0
|
作者
Ho, Chao-Ching
Kuo, Tzu-Hsin
Tsai, Tsung-Ting
机构
来源
关键词
machine monitoring; wireless sensors; solar energy transmission;
D O I
10.4028/www.scientific.net/AMR.126-128.678
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The development of robust condition monitoring system for a machine tool spindle is an important task because the spindle has a significant effect on the processing quality. This paper presents the architecture of data acquisition system for detecting spindle vibration in turning processes in order to develop an on-line condition monitoring system. In this work, a solar-powered wireless sensor system is installed inside the spindle and is used to monitor the machine tool processing state in real time, thereby improving the processing quality. Accelerometer sensors are employed to estimate tool wear; these sensors monitor the vibration of the spindle. The vibration monitoring data of the high-speed spindle is wirelessly transmitted to an external information device in real time. As an alternative to sensors that employ wired power transmission, a solar energy transmission system has been developed to provide the required electric power to the sensor system. The experimental results show that the proposed system successfully measures the vibration frequency of the rotational machine tool spindle.
引用
收藏
页码:678 / 683
页数:6
相关论文
共 50 条
  • [1] Energy Efficient Machine Condition Monitoring Using Wireless Sensor Networks
    Bergmann, Neil W.
    Hou, Li-qun
    2014 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATION AND SENSOR NETWORK (WCSN), 2014, : 285 - 290
  • [2] 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
  • [3] A Real-Time Condition Monitoring System for a Machine Tool Spindle
    Ho, Chao-Ching
    Kuo, Tzu-Hsin
    Tsai, Tsung-Ting
    ADVANCED DESIGN AND MANUFACTURE III, 2011, 450 : 259 - +
  • [4] Monitoring the condition of the cutting tool using self-powering wireless sensor technologies
    Ostasevicius, V.
    Jurenas, V.
    Augutis, V.
    Gaidys, R.
    Cesnavicius, R.
    Kizauskiene, L.
    Dundulis, R.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 88 (9-12): : 2803 - 2817
  • [5] Ultra low power wireless multi-sensor platform dedicated to machine tool condition monitoring
    Caroff, Tristan
    Brulais, Sebastien
    Faucon, Adrien
    Boness, Axel
    Arrizabalaga, Anne Sanz
    Ellinger, Johannes
    30TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2021), 2020, 51 : 296 - 301
  • [6] Tool Condition Monitoring Using Machine Tool Spindle Electric Current and Multiscale Analysis while Milling Steel Alloy
    Jamshidi, Maryam
    Chatelain, Jean-Francois
    Rimpault, Xavier
    Balazinski, Marek
    JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2022, 6 (05):
  • [7] Machine tool spindle error monitoring
    Blackshaw, DMS
    INSIGHT, 1998, 40 (08) : 561 - 563
  • [8] Machine tool spindle error monitoring
    Blackshaw, D.M.S.
    Insight: Non-Destructive Testing and Condition Monitoring, 1998, 40 (08): : 561 - 563
  • [9] Development of universal wireless sensor node for tool condition monitoring in milling
    Ostasevicius, Vytautas
    Karpavicius, Paulius
    Jurenas, Vytautas
    Cepenas, Mindaugas
    Cesnavicius, Ramunas
    Eidukynas, Darius
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 110 (3-4): : 1015 - 1025
  • [10] Development of universal wireless sensor node for tool condition monitoring in milling
    Vytautas Ostasevicius
    Paulius Karpavicius
    Vytautas Jurenas
    Mindaugas Cepenas
    Ramunas Cesnavicius
    Darius Eidukynas
    The International Journal of Advanced Manufacturing Technology, 2020, 110 : 1015 - 1025