Cutting Tool Crater Wear Measurement in Turning Using Chip Geometry and Genetic Programming

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  author =       "Mohammad Zadshakoyan and Vahid Pourmostaghimi",
  title =        "Cutting Tool Crater Wear Measurement in Turning Using
                 Chip Geometry and Genetic Programming",
  journal =      "International Journal of Applied Metaheuristic
  year =         "2015",
  number =       "1",
  volume =       "6",
  bibdate =      "2015-06-24",
  bibsource =    "DBLP,
  pages =        "47--60",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  abstract =     "Tool wear prediction plays an important role in
                 industry automation for higher productivity and
                 acceptable product quality. Therefore, in order to
                 increase the productivity of turning process, various
                 researches have been made recently for tool wear
                 estimation and classification in turning process. Chip
                 form is one of the most important factors commonly
                 considered in evaluating the performance of machining
                 process. On account of the effect of the progressive
                 tool wear on the shape and geometrical features of
                 produced chip, it is possible to predict some
                 measurable machining outputs such as crater wear.
                 According to experimentally performed researches,
                 cutting speed and cutting time are two extremely
                 effective parameters which contribute to the
                 development of the crater wear on the tool rake face.
                 As a result, these parameters will change the chip
                 radius and geometry. This paper presents the
                 development of the genetic equation for the tool wear
                 using occurred changes in chip radius in turning
                 process. The development of the equation combines
                 different methods and technologies like evolutionary
                 methods, manufacturing technology, measuring and
                 control technology with the adequate hardware and
                 software support. The results obtained from genetic
                 equation and experiments showed that obtained genetic
                 equations are correlated well with the experimental
                 data. Furthermore, it can be used for tool wear
                 estimation during cutting process and because of its
                 parametric form, genetic equation enables us to analyse
                 the effect of input parameters on the crater wear

Genetic Programming entries for Mohammad Zadshakoyan Vahid Pourmostaghimi