Optimizing scale factors of the PolyJet rapid prototyping procedure by genetic programming

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@Article{Brajlih:2006:AMME,
  author =       "Tomaz Brajlih and Igor Drstvensek and Miha Kovacic and 
                 Joze Balic",
  title =        "Optimizing scale factors of the PolyJet rapid
                 prototyping procedure by genetic programming",
  journal =      "Journal of achievements in materials and manufacturing
                 engineering",
  year =         "2006",
  volume =       "16",
  number =       "1-2",
  pages =        "101--106",
  month =        may # "-" # jun,
  note =         "Special Issue of CAM3S'2005",
  keywords =     "genetic algorithms, genetic programming, rapid
                 prototyping, PolyJet",
  ISSN =         "1734-8412",
  URL =          "http://www.journalamme.org/index.php?id=69",
  URL =          "http://157.158.19.167/papers_cams05/167.pdf",
  URL =          "http://www.journalamme.org/papers_cams05/167.pdf",
  size =         "6 pages",
  abstract =     "The main problem of assuring a high dimensional
                 accuracy of rapid prototyping procedures, that are
                 using polymers as a building material, is shrinking of
                 a finished layer during the phase of polymerisation.
                 Therefore, the finished object is slightly smaller then
                 the object's CAD three-dimensional model, that was used
                 to build the prototype. Commonly used method to
                 minimise this problem is to scale (enlarge) the
                 original CAD model in order to compensate for the
                 material's shrinkage during manufacturing. The scaling
                 is usually done by the number factor (in percentages)
                 that is recommended by the rapid prototyping machine's
                 manufacturer. With a long-term use of the certain rapid
                 prototyping machine the end-users can determine their
                 own scale factor's values, which are more suited to
                 their model's properties. This research has established
                 a method that enables the user of a PolyJet RP machine
                 to determine the optimal scale factor regardless of his
                 previous experience. For that purpose the genetic
                 programming methods were used to establish a
                 mathematical model that enables the user to calculate
                 optimal scale factor values for each axis (X,Y,Z)
                 regarding a certain object's properties. This method
                 was later tested on a series of prototypes that were
                 scaled with factor values acquired with the established
                 mathematical model.",
  notes =        "http://www.journalamme.org/
                 http://157.158.19.167/index.php?id=69 Formerly
                 Proceedings of Achievements in Mechanical and Materials
                 Engineering.

                 Faculty of mechanical engineering, University of
                 Maribor, Smetanova ulica 17, SI-2000 Maribor, Slovenia
                 *Corresponding author. E-mail address:
                 brajlih@yahoo.com [COBISS.SI-ID 10526486]",
}

Genetic Programming entries for Tomaz Brajlih Igor Drstvensek Miha Kovacic Joze Balic

Citations