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Knjižnica tehniških fakultet, Maribor (KTFMB)
  • The use of particle swarm optimization for tool wear prediction
    Irgolič, Tomaž ; Čuš, Franc, 1953- ; Župerl, Uroš
    Nowadays a tool wear prediction in advanced manufacturing systems is becoming very important for optimizing cutting processes. In the present work, a particle swarm optimization algorithm for ... prediction of tool wear in end milling has been used. Helix angle (a), spindle speed (N), feed rate (Z), axial depth of cut (X) and radial depth of cut (Y) were taken as input parameters and tool wear (T) as an output parameter. In our application the particle swarm optimization algorithm has searched for the optimal solution of developed polynomial model. Predicted values of PSO model are compared with experimental results. The best solution of polynomial model was proposed as a model for predicting of tool wear.
    Vir: Journal of production engineering. - ISSN 1821-4932 (Vol. 17, no. 1, 2014, str. 7-10)
    Vrsta gradiva - članek, sestavni del
    Leto - 2014
    Jezik - angleški
    COBISS.SI-ID - 17977878

vir: Journal of production engineering. - ISSN 1821-4932 (Vol. 17, no. 1, 2014, str. 7-10)

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