This paper discusses the application of fuzzy adaptive control strategy to the problem of cutting force control in high speed end-milling operations. The research is concerned with integrating adaptive control with a standard computer numerical controller (CNC) for optimising a metal-cutting process. It is designed to adaptively maximise the feed-rate subject to allowable cutting force on the tool, which is very beneficial for a time consuming complex shape machining. The purpose is to present a reliable, robust neural controller aimed at adaptively adjusting feed-rate to prevent excessive tool wear, tool breakage and maintain a high chip removal rate. Numerous simulations and experiments are conducted to confirm the efficiency of this architecture.


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    Titel :

    Fuzzy control strategy for an adaptive force control in end-milling


    Beteiligte:
    Župerl, Uroš (Autor:in) / Čuš, Franc (Autor:in) / Milfelner, Matjaž (Autor:in)

    Erscheinungsdatum :

    2012-06-01


    Anmerkungen:

    Journal of materials processing technology, 2005. ; ISSN: 0924-0136


    Medientyp :

    Sonstige


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629 / 670




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