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

• Autorzy: Brajlih T. , Drstvensek I. , Kovacic M. , Balic J.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The main purpose of our article is to represent results of our research that investigated the implementation of genetic programming methods into optimization process of the scale factor values used in PolyJet™ rapid prototyping procedures. Design/methodology/approach: The first step in our research was to test the influence of the recommended scale factor values on the dimensional accuracy of the finished parts. Then, the genetic programming was used in optimization of scale factor values regarding to the part’s properties. Finally, the optimized values were tested on another test series of parts. Findings: The optimized scale factor values yield better results in terms of accuracy than values recommended by the manufacturer. Research limitations/implications: Due to the large increase in part’s build time/cost the data range of the Z-axis dimensions of our test series was somewhat narrow, leaving the detailed study of Z-axis scale factor values for further research. Practical implications: The optimized scale factor values can be used in the RP machine software package in order to achieve higher accuracy of manufactured prototypes. Originality/value: This paper can be used as a guideline in implementation of genetic programming in optimization process of various manufacturing parameters of RP technologies. Additionally, any user of the PolyJet™ RP machine can use optimized scale factor values described in the paper.

Słowa kluczowe

EN

analysis; modelling; rapid prototyping; artificial intelligence methods; quality assessment

PL

analiza; modelowanie; prototypowanie szybkie; metody sztucznej inteligencji; ocena jakości

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2006
• Tom: Vol. 16, nr 1-2
• Strony: 101--106
• Opis fizyczny: Bibliogr. 7 poz., rys., tab., wykr.

Twórcy

autor

Brajlih T.

• Faculty of mechanical engineering, University of Maribor, Smetanova ul. 17, SI-2000 Maribor, Slovenia

autor

Drstvensek I.

• Faculty of mechanical engineering, University of Maribor, Smetanova ul. 17, SI-2000 Maribor, Slovenia

autor

Kovacic M.

• Store Steel d.o.o. Železarska cesta 3, SI 3220 Store, Slovenia

autor

Balic J.

• Faculty of mechanical engineering, University of Maribor, Smetanova ul. 17, SI-2000 Maribor, Slovenia

Bibliografia

• [1] I. Drstvensek, Layered Technologies, University of Maribor Faculty of mechanical engineering, Maribor, 2004
• [2] Object geometries homepage available at http://www.2objet.com/home.asp
• [3] I. Pahole, M. Ficko, I. Drstvensek, J. Balic, Rapid Proto-typing processes give new possibilities to numerical copying techniques, J. Mater. Process. Technol. 164/165 (2005) 1416-1422
• [4] M. Brezocnik, J. Balic, Z. Kampus, Modeling of forming efficiency using genetic programming, J. Mater. Process. Technol. 109 (2001) 20-29
• [5] M. Brezocnik, J. Balic, K.Kuzman, Genetic programming approach to determining of metal material properties, J. Mater. Process. Technol. 13 (2002) 5-17
• [6] J.R. Koza, Genetic programming : on the programming of computers by means of natural selection, The MIT Press, Cambridge, London, 1996
• [7] I. Drstvensek, M. Ficko, I. Pahole, J. Balic, A model of simulation environment for prediction and optimization of production processes, J. Mater. Process. Technol. 155/156 (2004) 1641-1646