Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 2 intelligent control simulation perspective

James Griffin, Alejandro J Doberti, Valbort Hernández, Nicolás A. Miranda, Maximiliano A. Vélez

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Part 2 of this work looks at the simulation for the accurate control of multiple machine processes made on a machining centre. Specifically the models are based on controlling against two grinding anomalies; grinding burn and chatter, and for hole making; drilling tool wear and the onset of drill tool malfunction, which is also significant to severe scoring and material dragging. The work developed here takes the ideas of part 1 further where intelligent control based on the identification of force and accelerations in z axis time-frequency domain is applied. This work is significant to automated manufacturing, where observed anomalies significant to surfaces quality cannot be accepted and play an integral part to flexible automated manufacturing systems. The simulation models displayed in this part can easily be realised into prototype embedment promoting real-time control against unwanted surface anomalies for multiple machine processes
    Original languageEnglish
    Pages (from-to)3207-3217
    Number of pages11
    JournalThe International Journal of Advanced Manufacturing Technology
    Volume92
    Issue number9-12
    Early online date20 Apr 2017
    DOIs
    Publication statusPublished - Oct 2017

    Keywords

    • Burn
    • wavelet transforms and simulation
    • feature extraction
    • tool malfunction
    • accelerations
    • force
    • chatter

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