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  • Prediction of surface roughness with genetic programming
    Brezočnik, Miran ; Kovačič, Miha, 1974-
    In this paper we propose genetic programming to predict surface roughness in end milling. Two independent data sets were obtained from measurements: the training data set and the testing data set. ... Spindle speed, feed rate, depth of cut and vibrations were used as independent input variables (parameters), while surface roughness was the output variable. Different surface roughness models were obtained with the training data set and genetic programming. The testing data set was used to prove the accuracy of the best model. The conclusion is that surface roughness is most influenced by the feed rate, while vibrations increase the prediction accuracy.
    Vir: Proceedings of the 11th International scientific conference Achievements in mechanical & materials engineering, AMME`2002, Gliwice-Zakopane, Poland, December 15-18, 2002 (Str. 23-26)
    Vrsta gradiva - prispevek na konferenci
    Leto - 2002
    Jezik - angleški
    COBISS.SI-ID - 7608342

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