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Tytuł artykułu

The evolutionary optimization of selected welded structures

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: of this paper is to present the recent possibility of evolutionary optimization method application to predicting the proper welding parameters in the weld process. The objective of the welding simulation is to study the temperature generated during the welding process and to investigate residual stresses in the component after the welding. Such results give the possibility to determine stress and strain state of welded parts and properties of materials in welding zones. From other side it gives the possibility to perform optimization process looking for welding parameters (welding speed, welding power source etc.) or initial shape of welded sheets according to displacement state (welding of thin metal sheets with stiffeners - T joints). Those results are the base for fatigue analysis too. Design/methodology/approach: In the paper the foundations of FEM simulation of welding process are presented. Also a grid based evolutionary optimization of welding parameters influences on strength parameters in the heat affected zone (HAZ) is shown. Numerical simulation of a welding process using the finite element method is applied. Findings: Results for coupled thermo-mechanical problem are prescribed. Two examples, the grid based evolutionary optimization of HAZ parameters and grid based evolutionary optimization of T-joint component deformation, illustrate the possibility of computational simulation and optimization of welding are presented. Practical implications: Computational simulation and evolutionary optimization give a lot of information very important for engineers. An undesirable side-effect of welding is the generation of residual stresses and deformations in the component and the quality of the weld has a substantial impact on the fatigue life of the structure. These resultant deformations may render the component unsuitable for further use. Originality/value: The presented the grid based evolutionary optimization procedure is a new tool for better understanding and predicting the welding behaviour from the thermo-mechanical process point of view. It gives the possibilities to optimize main welding parameters in order to achieve better structures, taking into account nearly full set of welding parameters, temperature dependent material parameters and simulating the coupled thermo-mechanical problem.
Rocznik
Strony
667--675
Opis fizyczny
Bibliogr. 20 poz., rys., wykr.
Twórcy
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
autor
  • Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] D. Radaj, Welding residual stresses and distortion, Calculation and measurement, DVS-Verlag, Dusseldorf, 2003.
  • [2] Z. Feng, Processes and mechanisms of welding residual stress and distortion, Woodhead Publishing Limited, Cambridge, 2005.
  • [3] W. Fricke, Fatigue analysis of welded joints: state of development, Marine Structures 16 (2003) 185-200.
  • [4] L.E. Lindgren, Computational Welding Mechanics, Thermomechanical and microstructural simulation, Woodhed Publishing Limited, England, 2007.
  • [5] J. Goldak, M. Akhlaghi, Computational Welding Mechanics, Springer, New York, 2005.
  • [6] G. Kokot, A. John, J. Górka, Welding process simulation using FEM, Proceedings of the 17th International Conference on Computer Methods in Mechanics “CMM’2007”, Łódź - Spała, 2007.
  • [7] G. Kokot, A. John, W. Kuś, Grid based evolutionary optimization of strength parameters in heat affected zone of welded joints, Proceedings of the 8th World Congress on Computational Mechanics WCCM8, 5th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS’2008, Venice, 2008 (CD-ROM).
  • [8] G. Kokot, A. John, W. Kuś, Complex welding process simulation using FEM, parallel computing and grid based evolutionary optimization, Proceedings of the 36th Solid Mechanics Conference SOLMECH’2008, Gdańsk, 2008, 58-59.
  • [9] W. Kuś, T. Burczyński, Grid-based evolutionary optimization of structures, Parallel Processing and Applied Mathematics PPAM 2005, Lecture Notes on Computational Science 3911 (2006) 422-429.
  • [10] W. Kuś, Grid-enabled evolutionary algorithm application in the mechanical optimization problems, Engineering Applications of Artificial Intelligence 20 (2007) 629-636.
  • [11] O.C. Zienkiewicz, R.L Taylor, Finite Element Method: Its Basis and Fundamental, Elsevier, Oxford, 2005.
  • [12] V. Pavlyk, U. Dilthey, Simulation of weld solidification microstructure and its coupling to the macroscopic heat and fluid flow modeling, Modelling and Simulation in Materials Science and Engineering 12 (2004) 33.
  • [13] M. Carin, E. Favre, Numerical simulation of fluid flow during arc welding, Proceedings of the COMSOL Multiphysics User’s Conference, Paris, 2005.
  • [14] J. Goldak, A. Chakravarti, M. Bibby, A New Finite Element Model for Welding Heat Sources, Metallurgical Transactions B 15 (1984) 299-305.
  • [15] Z. Michalewicz, Genetic algorithms + data structures = evolutionary algorithms, Springer-Verlag, Berlin, 1996.
  • [16] I. Foster, C. Kesselman, The Grid 2: Blueprint for a New Computing Infrastructure, Elsevier, 2004.
  • [17] L. Akshay, B. Rajkumar, R. Rajiv, V. Srikumar, Peer-to-Peer Grid Computing and a NET-based Alchemi Framework, High Performance Computing: Paradigm and Infrastructure, Laurence Yang and Minyi Guo (editors), Wiley Press, New Jersey, 2005.
  • [18] Y. Michaleris, J. Dantzig, D. Tortorelli, Minimization of welding residual stress and distortion, Welding Journal 78/11 (1999) 361-366.
  • [19] J. Song, J.Y. Shanghvi, P. Michaleris, Sensitivity analysis and optimization of thermo-elasto-plastic processes with applications to welding side heater design, Computer Methods in Applied Mechanics and Engineering 193/42-44 (2004) 4541-4566.
  • [20] I. Voutchkov, et al., Weld sequence optimization: the use of surrogate models for solving sequential combinatorial problems, Computer Methods in Applied Mechanics and Engineering 194/30-33 (2005) 3535-3551.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a525a975-75cf-4b95-8bfe-5785b5029b36
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