Real-time drill wear estimation based on spindle motor power

H. Y. Kim, J. H. Ahn, S. H. Kim, Shozo Takata

    Research output: Contribution to journalArticle

    42 Citations (Scopus)

    Abstract

    In-process detection of drill wear is one of the most important technologies for unmanned machining systems. This study examines and proposes the method of on-line drill wear estimation based on spindle motor power consumption during the drilling process. Integration of the drilling process model with the spindle drive system model is the key feature of the proposed method. The drilling process model describes the relationship between drill wear and drilling torque, whereas the spindle drive system model describes the relationship between drilling torque applied to motor and spindle motor power. Evaluation tests have shown that the proposed method is a good real-time estimator for drill wear.

    Original languageEnglish
    Article number5736
    Pages (from-to)267-273
    Number of pages7
    JournalJournal of Materials Processing Technology
    Volume124
    Issue number3
    DOIs
    Publication statusPublished - 2002

    Fingerprint

    Drilling
    Wear of materials
    Real-time
    Process Model
    Torque
    Machining
    Power Consumption
    Electric power utilization
    Estimator
    Evaluation
    Model
    Relationships

    Keywords

    • Drill wear
    • Drill wear estimation
    • Spindle motor power

    ASJC Scopus subject areas

    • Ceramics and Composites
    • Modelling and Simulation
    • Computer Science Applications
    • Metals and Alloys
    • Industrial and Manufacturing Engineering

    Cite this

    Real-time drill wear estimation based on spindle motor power. / Kim, H. Y.; Ahn, J. H.; Kim, S. H.; Takata, Shozo.

    In: Journal of Materials Processing Technology, Vol. 124, No. 3, 5736, 2002, p. 267-273.

    Research output: Contribution to journalArticle

    Kim, H. Y. ; Ahn, J. H. ; Kim, S. H. ; Takata, Shozo. / Real-time drill wear estimation based on spindle motor power. In: Journal of Materials Processing Technology. 2002 ; Vol. 124, No. 3. pp. 267-273.
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