A multi-sensor based online tool condition monitoring system for milling process

Xiaoyang Zhang, Xin Lu, Sheng Wang, Wei Wang, Weidong Li

    Research output: Contribution to journalConference article

    61 Citations (Scopus)
    228 Downloads (Pure)

    Abstract

    Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially Small and Medium-sized Enterprises. In this research, a cost-effective, wireless communication enabled, multi-sensor based tool condition monitoring system has been developed. Various sensor data, such as vibration, cutting force and power data, as well as actual machining parameters, have been collected to support efficient tool condition monitoring and life estimation. The effectiveness of the developed system has been validated via machining cases. The system can be extended to wide manufacturing applications.
    Original languageEnglish
    Pages (from-to)1136-1141
    Number of pages6
    JournalProcedia CIRP
    Volume72
    Early online date27 Jun 2018
    DOIs
    Publication statusPublished - 2018
    Event51 CIRP Conference on Manufacturing Systems - Stockholm, Sweden
    Duration: 16 May 201818 May 2018

    Bibliographical note

    Open access under a Creative Commons licence CC-BY-NC-ND

    Keywords

    • Tool condition monitoring
    • Multiple sensors
    • Vibration

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