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Technological processes optimisation according to MSTP procedure

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The paper presents optimization of technological processes according to MSTP (Modified Sustainable Technology Procedure) procedure by general analysis and estimation (with regard to BREF-BAT Reference Documents) of three realistic zinc plating technological processes. Design/methodology/approach: In this article one of the polyoptimization methods-genetic algorithms (GA) for technological processes optimization has been proposed. As well as the universal software Poli-Opt version 1.0 for technological processes optimization has been presented. Findings: Polyoptimization using simple genetic algorithms makes possible negative environmental influences minimization. It also leading to ideal process obtaining that in reality does not exist. Research limitations/implications: The optimum solution in polyoptimization process is not absolutely optimum. This solution is about the largest probability of optimum obtaining. This results from the fact of different criteria and different objective function values using. Practical implications: The simple and universal Poli-Opt version 1.0 software using elementary, but quite sufficient in practice, genetic algorithm could be in every company applied. Originality/value: The Modified Sustainable Technology Procedure with computer supported could be for every materials technological processes optimization used.
Rocznik
Strony
547--552
Opis fizyczny
Bibliogr. 17 poz., wykr., tab.
Twórcy
autor
autor
  • Division of Nanocrystalline and Functional Materials and Sustainable Proecological Technologies, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland, aneta.kania@pols.pl
Bibliografia
  • [1] R. Nowosielski, R. Babilas, W. Pilarczyk, Sustainable technology as a basis of cleaner production, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 527-530.
  • [2] R. Nowosielski, M. Spilka, A. Kania, Strategies of sustainable development in practice, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 555-558.
  • [3] R. Nowosielski, A. Kania, M. Spilka, Application of the MSTP for the technological processes optimization, Proceedings of the 11th Scientific Conference „Contemporary Achievements in Mechanics, Manufacturing and Materials Science” CAM3S'2005, Gliwice-Zakopane, 2005, (CD-ROM).
  • [4] R. Nowosielski, M. Spilka, A. Kania, The technological processes optimization according to the sustainable technology procedure, Journal of Achievements in Materials and Manufacturing Engineering 14 (2006) 178-183.
  • [5] T. Ekvall, Cleaner Production tools: LCA and beyond, Journal of Cleaner Production 10 (2002) 403-406.
  • [6] R. Dijkmans, Methodology for selection of best available techniques (BAT) in the sector level, Journal of Cleaner Production 8 (2000) 11-21.
  • [7] J. Geldermann, O. Rentz, The reference installation approach for the techno-economic assessment of emission abatement options and the determination of BAT according to the IPPC-directive, Journal of Cleaner Production 12 (2004) 389-400.
  • [8] R. Knosala, T. Wal, A production scheduling problem using genetic algorithm, Journal of Materials Processing Technology 109 (2001) 90-95.
  • [9] Z. Michalewicz, Genetic algorithms+data structures=evolutional programmes, WNT, Warsaw, 1999 (in Polish).
  • [10] L. M. Schmitt, Theory of genetic algorithms, Theoretical Computer Science 259 (2001) 1-61.
  • [11] S. Tongchim, P. Chongstitvatana, Parallel genetic algorithm with parameter adaptation, Information Processing Letters 82 (2002) 47-54.
  • [12] A. Kania, The materials technological processes optimization methodology in relate to environmental criteria, PhD Thesis, Gliwice, 2005 (in Polish).
  • [13] M. Spilka, Application of the sustainable technology model to the analysis and modernization of the materials technology, PhD Thesis, Gliwice, 2004 (in Polish).
  • [14] Website: http://eippcb.jrc.es.
  • [15] The Integrated Pollution Prevention and Control (IPPC) Directive 96/61/WE (24.09.1996) (in Polish).
  • [16] A. Kania, M. Spilka, Optimization as an alternative in search of sustainable technological processes, Journal of Achievements in Materials and Manufacturing Engineering 17 (2006) 413-416.
  • [17] Q. J. Wang, Using genetic algorithms to optimise model parameters, Environmental Modelling and Software 12 (1997) 27-34.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAN-0004-0007
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