Evolutionary approach for cutting forces prediction in milling

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "M. Kovacic and J. Balic and M. Brezocnik",
  title =        "Evolutionary approach for cutting forces prediction in
  journal =      "Journal of Materials Processing Technology",
  year =         "2004",
  volume =       "155-156",
  pages =        "1647--1652",
  month =        "30 " # nov,
  abstract =     "Knowing cutting forces is important for choosing
                 cutting parameters for milling. Traditionally, cutting
                 forces are calculated by equation which includes
                 empirically measured specific cutting forces. In the
                 article modelling of cutting forces with genetic
                 programming is proposed, which imitates principles of
                 living beings. Measurements have been made for two
                 materials (aluminium alloy AlMgSi1 and steel 1.2343)
                 and two different types of milling (conventional
                 milling and STEP milling). For each material and type
                 of milling parameters, tensile strength and hardness of
                 workpiece, tool diameter, cutting depth, spindle speed,
                 feeding and type of milling were monitored, and for
                 each combination of milling parameters cutting forces
                 were measured. On the basis of the experimental data,
                 different models for cutting forces prediction were
                 obtained by genetic programming. Research shows that
                 genetically developed models fit the experimental
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6TGJ-4CHS1T2-9/2/ca7fc5b9431830386384db78e7ee233a",
  keywords =     "genetic algorithms, genetic programming, Milling
                 cutting forces prediction",
  ISSN =         "0924-0136",
  DOI =          "doi:10.1016/j.jmatprotec.2004.04.318",
  notes =        "Journal article given in preference to conference
                 {"}Proceedings of the International Conference on
                 Advances in Materials and Processing Technologies{"}
                 AMPT 2003 Part 2 ISBN 1-8723-2739-7, 2003, Dublin City
                 University, pages 852-855. 8-11 July


Genetic Programming entries for Miha Kovacic Joze Balic Miran Brezocnik