A Genetic Programming Approach to Model Detailed Surface Integrity of Additive Manufacturing Parts

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@Article{Jamiolahmadi:2015:IFAC-PapersOnLine,
  author =       "Saeed Jamiolahmadi and Ahmad Barari",
  title =        "A Genetic Programming Approach to Model Detailed
                 Surface Integrity of Additive Manufacturing Parts",
  journal =      "IFAC-PapersOnLine",
  volume =       "48",
  number =       "3",
  pages =        "2339--2344",
  year =         "2015",
  note =         "15th IFAC Symposium on Information Control Problems in
                 Manufacturing INCOM 2015",
  ISSN =         "2405-8963",
  DOI =          "doi:10.1016/j.ifacol.2015.06.437",
  URL =          "http://www.sciencedirect.com/science/article/pii/S240589631500676X",
  abstract =     "Surface integrity is a crucial issue that needs to be
                 improved in the additive manufactured products. Precise
                 evaluation of surface integrity demands a detailed
                 understanding of the surface behaviour. Optical surface
                 and roughness measurement sensors only provide
                 information of the discrete points measured from the
                 manufactured surface without the details of the surface
                 topography. Throughout this paper, a methodology is
                 developed to approximate the surface behavior. This
                 work employs a Genetic Programming approach to assess
                 the relation between the position of the measured
                 points and their corresponding roughness. The resulting
                 function would assist to reconstruct the surface three
                 dimensional topography. To validate the process, actual
                 case study on an additive manufactured part is examined
                 for the surface integrity.",
  keywords =     "genetic algorithms, genetic programming, Surface
                 integrity, Surface roughness, Additive manufacturing,
                 Surface function",
}

Genetic Programming entries for Saeed Jamiolahmadi Ahmad Barari

Citations