Milling surface roughness prediction using evolutionary programming methods

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  author =       "Oguz Colak and Cahit Kurbanoglu and 
                 M. Cengiz Kayacan",
  title =        "Milling surface roughness prediction using
                 evolutionary programming methods",
  journal =      "Materials \& Design",
  volume =       "28",
  number =       "2",
  pages =        "657--666",
  year =         "2007",
  ISSN =         "0261-3069",
  DOI =          "DOI:10.1016/j.matdes.2005.07.004",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Surface roughness, CNC end
                 milling, Genetic expression programming",
  abstract =     "CNC milling has become one of the most competent,
                 productive and flexible manufacturing methods, for
                 complicated or sculptured surfaces. In order to design,
                 optimize, built up to sophisticated, multi-axis milling
                 centers, their expected manufacturing output is at
                 least beneficial. Therefore data, such as the surface
                 roughness, cutting parameters and dynamic cutting
                 behavior are very helpful, especially when they are
                 computationally produced, by artificial intelligent
                 techniques. Predicting of surface roughness is very
                 difficult using mathematical equations. In this study
                 gene expression programming method is used for
                 predicting surface roughness of milling surface with
                 related to cutting parameters. Cutting speed, feed and
                 depth of cut of end milling operations are collected
                 for predicting surface roughness. End of the study a
                 linear equation is predicted for surface roughness
                 related to experimental study.",

Genetic Programming entries for Oguz Colak Cahit Kurbanoglu Mehmet Cengiz Kayacan