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http://dx.doi.org/10.5781/KWJS.2009.27.4.054

A Study about Analysis of Weld Distortion using Genetic Algorithm  

Kim, Ill-Soo (Department of Mechanical Engineering, Mokpo National University)
Kim, Hak-Hyoung (Department of Mechanical Engineering, Mokpo National University)
Jang, Han-Kee (Design Optimization Technology Team, Doosan Infracore)
Kim, Hee-Jin (Reliablility Center for Metallic Materials, KITECH)
Kwak, Sung-Kyu (Design Optimization Technology Team, Doosan Infracore)
Ryoo, Hoi-Soo (Reliablility Center for Metallic Materials, KITECH)
Shim, Ji-Yeon (Environmentally Materials & Components Center, KITECH)
Publication Information
Journal of Welding and Joining / v.27, no.4, 2009 , pp. 54-59 More about this Journal
Abstract
In the process to manufacture for metallic structures, control of welding deformation is one of an important problems connected with reliability of the manufactured structures so that welding deformation should be measured and controlled with quickly and actively. Also, welding parameters which have as lot of effects on welding deformation such as arc voltage, welding current and welding speed can also be controlled. The objectives for this study were to develop a simple 2-D FEM to calculate not only the transient thermal histories but also the sizes of fusion and heat-affected zone (HAZ) in multi pass arc welds including the butt and fillet weld type with dissimilar thickness, and to concentrate on a developed model for the finding the parameters of Godak's moving heat source model based on a GA. The developed model includes a GA program using MATLB and GA toolbox, and a batch mode thermal model using ANSYS software. Not only the thermal model was verified by comparison with Goldak's work but also the developed model was validated with molten zone section experimental data.
Keywords
Weld distortion; Genetic algorithm; Double-ellipse heat input model; Finite element method;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Commission of Design, Analyses and Structural Strength of Welded Structures, Standardization for Temperature Distribution Prediction of the Arc Weld using FEA, Journal of KWS, 23-6 (2005), 497-503 (in Korean)
2 JIS E4207, Truck Frames for Railway Rolling Stock-General rules for Design, 1992
3 M.F. Rothman, High-temperature property data: ferrous alloys. American Society for Metals, USA., 1988
4 P. Mollicone, T. Comlekci, T.G.F. Gray and D. Camilleri, Simple Thermo-elastic-plastic Models for Welding Distortion Simulation, Journal of Materials Processing Technology, 2006
5 B.N. Park, K.H. Kim and H.K. Kim, An Evaluation Method of Fatigue Strength and Reliability in a Railway Wheel with an Application of Strength- Stress Interference Model," KSR, 5-2 (2002), 118-124 (in Korean)
6 J. Goldak, A. Chakravarti, M. Bibby, A New Finite Element Model for Welding Heat Source, Metall. Trans. B 15B (1984), 299–305
7 DV 952. Vorschrift fur das Schwei ben metallischer Werkstoffe in Privatwerken, 1977
8 S.I. Seo, J.G. Noh and J.S. Lee, Development of a Program for Predctiction and Visualization of Weld Deformation, Journal of KWS, 20-5 (2002), 689-695 (in Korea)
9 대한용접.접합학회 : 용접.접합편람-Ⅲ 공정 및 열가공, 2007, 460 (in Korean)
10 L.E. Lindgren, Finite Element Modeling and Simulation of Welding Part 1: Increased Complexity, Journal of Thermal Stresses, 24 (2001), 141-192   DOI   ScienceOn
11 ANSYS Thermal Analysis Guide Revision 11, Swanson Analysis System, Inc., 2008