VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Adaptive network based inference system for estimation of flank wear in end-milling
    Župerl, Uroš ; Čuš, Franc, 1953- ; Kiker, Edvard
    The focus of this paper is to develop a reliable method to predict flank wear during end-milling process. A neural-fuzzy scheme is applied to perform the prediction of flank wear from cutting force ... signals. In this contribution we also discussed the construction of a ANFIS system that seeks to provide a linguistic model for the estimation of tool wear from the knowledge embedded in the neural network. Machining experiments conducted using the proposed method indicate that using an appropriate maximum force signals, the flank wear can be predicted within 4% of the actual wear for various end-milling conditions.
    Vir: Journal of materials processing technology. - ISSN 0924-0136 (Vol. 209, iss. 3, Feb. 2009, str. 1504-1511)
    Vrsta gradiva - članek, sestavni del
    Leto - 2009
    Jezik - angleški
    COBISS.SI-ID - 12406806
    DOI

vir: Journal of materials processing technology. - ISSN 0924-0136 (Vol. 209, iss. 3, Feb. 2009, str. 1504-1511)
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