Genetic equation for the cutting force in ball-end milling

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "M. Milfelner and J. Kopac and F. Cus and U. Zuperl",
  title =        "Genetic equation for the cutting force in ball-end
  journal =      "Journal of Materials Processing Technology",
  year =         "2005",
  volume =       "164-165",
  pages =        "1554--1560",
  month =        "15 " # may,
  note =         "AMPT/AMME05 Part 2",
  keywords =     "genetic algorithms, genetic programming, Cutting
                 forces, Cutting parameters, Ball-end mill",
  DOI =          "doi:10.1016/j.jmatprotec.2005.02.147",
  abstract =     "The paper presents the development of the genetic
                 equation for the cutting force for ball-end milling
                 process. The development of the equation combines
                 different methods and technologies like evolutionary
                 methods, manufacturing technology, measuring and
                 control technology and intelligent process technology
                 with the adequate hardware and software support.
                 Ball-end milling is a very common machining process in
                 modern manufacturing processes. The cutting forces play
                 the important role for the selection of the optimal
                 cutting parameters in ball-end milling. In many cases
                 the cutting forces in ball-end milling are calculated
                 by equation from the analytical cutting force model. In
                 the paper the genetic equation for the cutting forces
                 in ball-end milling is developed with the use of the
                 measured cutting forces and genetic programming. The
                 experiments were made with the system for the cutting
                 force monitoring in ball-end milling process. The
                 obtained results show that the developed genetic
                 equation fits very well with the experimental data.

                 The developed genetic equation can be used for the
                 cutting force estimation and optimisation of cutting
                 parameters. The integration of the proposed method will
                 lead to the reduction in production costs and
                 production time, flexibility in machining parameter
                 selection, and improvement of product quality.",

Genetic Programming entries for Matjaz Milfelner Janez Kopac Franci Cus Uros Zuperl