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Optimizsation of the lacquering process

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
Purpose: The topic of this research is estimation of coat parameters generate by paint robots. The purpose of this article is to present results of optimization of the varnishing process. Design/methodology/approach: After theoretical analysis of the methods of the optimization, in examinations was used multicriterial with method of the optimization. This method allows for diagnosing the problem of the lacquering process. Findings: Optimization of the process with multicriterial method let for selecting right parameters of the process of painting. The possibility of the optimum technological process choice was proposed. The optimization methods should have more and more meaning in the materials engineering. It is because of many possible technical problems to solutions. Research limitations/implications: The method of optimization such as multicriterial depend on degree of complexity of physical and technical relations of the analysed lacquering processes. Practical implications: The work is an example of analysis of chosen technological process in aspect of its efficiency. It could be helpful to improve a level of total productivity of technological processes by using multicriterial method. Originality/value: This paper is obtained original model for experimental domain of forming parameters and identification of parameters influence in that model.
Rocznik
Strony
113--116
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
autor
  • Division of Metal and Polymer Materials Processing, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland, andrzej.pusz@polsl.pl
Bibliografia
  • [1] L.A. Dobrzański, Engineering materials and material design, Principles of materials science and physical metallurgy, WNT, Warsaw, 2006 (in Polish).
  • [2] Z. Jurkovic, M. Jurkovic, S. Buljan, Optimization of extrusion force prediction model using different techniques, Journal of Achievements in Materials and Manufacturing Engineering 17 (2006) 353-356.
  • [3] H. Lau, A. Ning, K. Pun, K. Chin, Neural networks for dimensional control of molded parts based on a reverse process model, Journal of Material Processing Technology 117 (2001) 89-96.
  • [4] B.H.M. Sadeghi, A BP-neural network predictor model for plastic injection molding process, Journal of Materials Processing Technology 103 (2000) 411-416.
  • [5] K.E. Parsopoulos, M.N. Vrahatis, Recent approaches to global optimization problems through Particle Swarm Optimization, Natural Computing 1 (2002) 235-306.
  • [6] I.C. Trelea, The particle swarm optimization algorithm convergence analysis and parameter selection, Information Processing Letters 85 (2003) 317-325.
  • [7] J. Powstenko, The introduction to optimization, WSP, Czestochowa, 2003 (in Polish).
  • [8] F. Cus, U. Zupert, V. Gecevska, High speed end-milling optimisation using Particle Swarm Intelligence, Journal of Achievements in Materials and Manufacturing Engineering 22/2 (2007) 75-78.
  • [9] S. Topolska, D. Szewieczek, The visualization of manufacturing process of pipes welding, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 575-578.
  • [10] M. Ostwald, The basis of construction optimization, Poznan, 2003 (in Polish).
  • [11] R. Nowosielski, A. Kania, The use of multiobjective methods for optimization of the technological process in relate to environmental criteria, Proceedings of the 3rd Scientific Conference "Materials, Mechanical and Manufacturing Engineering", Gliwice-Wisła, 2005, 185-188.
  • [12] K.C. Yung, An integrated model for manufacturing process improvement, Journal of Materials Processing Technology 61/1 (1996) 39-43.
  • [13] C.Y. Nian, W.H. Yang, Y.S. Tarng, Optimization of turning operations with multiple performance characteristics, Journal of Materials Processing Technology 95 (1999) 90-96.
  • [14] D. Szewieczek, S. Tkaczyk, B. Wojtaszek, Measurement and control of the technological process by means of the analysis of its efficiency, Proceedings of the 12th International Scientific Conference "Achievements in Mechanical and Materials Engineering" AMME'2003, Gliwice-Zakopane, 2003, 923-926.
  • [15] S. Tkaczyk, B. Wojtaszek, Efficiency evaluation of technological processes, Proceedings of the 11th International Scientific Conference "Achievements in Mechanical and Materials Engineering" AMME'2002, Gliwice-Zakopane, 2002, 579-582 (in Polish).
  • [16] N. Dutta, N. Karak, S.K. Dolui, Stoving paint from Mesua Ferrea L. Seed oil based short oil polyester and MF resins blend, Progress in Organic Coatings 58 (2007) 40-45.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL8-0028-0049
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