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Celotno besedilo
  • Genetic-based approach to predict surface roughness in end milling
    Brezočnik, Miran ; Kovačič, Miha, 1974- ; Ficko, Mirko
    In this paper we propose genetic programming to predict surface roughness in end-milling. Genetic programming was used. Two independent data sets were obtained on the basis of measurement: training ... data set and testing data set. Spindle speed, feed rate, depth of cut, and vibrations are used as independent input variables (parameters), while surface roughness as dependent output variable. On the basis of training data set, different models for surface roughness were developed by genetic programming. Accuracy of the best model was proved with the testing data. It was established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy.
    Vir: Proceedings (Str. 529-532)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2003
    Jezik - angleški
    COBISS.SI-ID - 8206870
vir: Proceedings (Str. 529-532)
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