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Optimization of extrusion force prediction model using different techniques

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This research is determination of the optimal cold forward extrusion parameters with objective the minimization of tool load. Design/methodology/approach: This paper deals with the different optimization approaches relating to determine optimal values of logarithmic strain, die angle and coefficient of friction with the purpose to find minimal tool loading obtained by cold forward extrusion process. To achieve this, it has been carried out two experimental plans based on factorial design of experiment and orthogonal array. By using these plans it was performed classical optimization, according to response model of extrusion forming force, and the Taguchi approach, respectively. Findings: Experimental verification of optimal forming parameters with their influences on the forming forces was done. The experimental results showed an improvement in minimization of tool loading. It was compared results of optimal forming parameters obtained with different optimization approaches and based on that the analysis of the characteristics (features and limitations) of both techniques. Research limitations/implications: Suggestion for future research it will be application of evolutionary algorithms namely model prediction of the process by genetic programming and optimization of extrusion parameters by genetic algorithm. Practical implications: a practical (industrial) implication on the smallest energy consumption, longer tool life, better formability of the work material and the quality of the finished product. Originality/value: This paper is obtained original extrusion force model for experimental domain of forming parameters and identification of parameters influence in that model
Rocznik
Strony
353--356
Opis fizyczny
Bibliogr. 15 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Industrial Engineering and Management, Faculty of Engineering, University of Rijeka, Vukovarska 58, HR-51000 Rijeka, Croatia
autor
  • Department of Industrial Engineering and Management, Faculty of Engineering, University of Rijeka, Vukovarska 58, HR-51000 Rijeka, Croatia
autor
  • Federal Ministry of Energy, Mining and Industry, Adema Buca 34, BA-88000 Mostar, Bosnia and Herzegovina
Bibliografia
  • [1] S.M. Byon, S.M. Hwang, Die shape optimal design in cold and hot extrusion, Journal of Materials Processing Technology 138 (2003) 316-324.
  • [2] K. Kuzman, Problems of accuracy control in cold forming, Journal of Materials Processing Technology 113 (2001) 10-15.
  • [3] M. Jurkovic, Z. Jurkovic, G. Cukor, Genetic algorithm application in optimization of extrusion forming process, 10th International Scientific Conference on Production Engineering - CIM 2005, Lumbarda, 2005, IV53-IV62.
  • [4] Z. Jurkovic, M. Jurkovic, Mathematical modelling and minimization of force in cold forward extrusion process, Proceedings of the 2nd International Conference on Industrial Tools - ICIT ́99, Maribor, 1999, 129-132.
  • [5] Z. Jurkovic, Modelling and simulation of tool loading by machining processes, Master thesis, Faculty of Engineering, University of Rijeka, 2002, (in Croatian).
  • [6] M. Jurkovic, Mathematical modelling and optimization of machining processes, Faculty of Engineering, University of Rijeka, 1999, (in Croatian).
  • [7] K. Lange, Handbook of metal forming, McGraw-Hill, New York, 1985.
  • [8] D.C. Montgomery, Design and analysis of experiments, Fifth Edition, John Wiley & Sons, Inc., New York, 2003.
  • [9] R.H. Myers, D.C. Montgomery, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Second Edition, Wiley-Interscience, New York, 2002.
  • [10] S.S. Rao, Engineering optimization: Theory and practice, Third edition, Wiley-Interscience, 1996.
  • [11] A.M. Abuelnaga, M.A. El-Dardiry, Optimization methods for metal cutting, International Journal of Machine Tool Design and Research 24 (1984) 11-18.
  • [12] R.K. Roy, Design of experiments using the Taguchi approach: 16 steps to product and process improvement, Wiley-Interscience, New York, 2001.
  • [13] W.H. Yang, Y.S. Tarng, Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology 84 (1998) 122-129.
  • [14] J. Kopac, M. Bahor, M. Sokovic, Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpieces, International Journal of Machine Tools & Manufacture 42 (2002) 707-716.
  • [15] S. Ekinovic, S. Brdarevic, Optimization of the cutting tool geometry by use of different experimental plans, 1st International Conference on Advanced Technologies for Developing Countries - ATDC 2002, Slavonski Brod, Croatia, 2002, 181-186.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5a128a67-ce34-4524-b7b4-912932838b46
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