Prediction of Weld Deformations by Numerical Methods - Review

Kozak, Janusz

doi:10.2478/pomr-2022-0010

Abstract

The welding process is the basic technique of joining in the shipbuilding industry. This method generates welding distortions that cause a lot of problems during the manufacturing process due to both the time and cost of straightening as well as their influence on later stages of production. Proper preparation of welding processes plays a growing role in the shipbuilding industry and the development of calculating tools is being observed. The paper presents a review and critical analysis of numerical methods for the assessment of welding distortion.

References

1. L.M. Gourd, Principles of Welding Technology, The Welding Institute, London, 1995.
Search in Google Scholar Back to article
2. R. Hetnarski, Ed., Encyclopedia of Thermal Stresses, Springer Link, 2014.10.1007/978-94-007-2739-7
Search in Google Scholar Back to article
3. N. Okerblom, Schweissspannungen in Metallkonstruktionen, Halle: Veb Carl Marhold Verlag, 1956.
Search in Google Scholar Back to article
4. G. Verhaeghe, Predictive Formulae for Weld Distortion: A Critical Review, Abington Publishing, 1999, ISBN 185573 444 3., 1999.
Search in Google Scholar Back to article
5. C. G. Soares and T. A. Santos, Eds., Maritime Technology and Engineering, vol. 1, Lisbon: CRC Press, 2014.
Search in Google Scholar Back to article
6. M. Watanabe and K. Satoh, “Effect of welding conditions on the shrinkage and distortion in welded structures”, Welding Journal, 1961.
Search in Google Scholar Back to article
7. V. Murugan and V. Gunaraj, “Effects of Process Parameters on Angular Distortion of Gas Metal Arc Welded Structural Steel Plates”, Welding Journal, 2005.
Search in Google Scholar Back to article
8. R. W. O’Brien, “Predicting weld distortion in the design of automotive components”, Durham University, Durham, 2007.
Search in Google Scholar Back to article
9. K. Sun, Y. Shi, Y. Hu and B. Liao, “Microstructure Evolution and Mechanical Properties of Underwater Dry Welded Metal of High Strength Steel Q690E under Different Water Depths”, Polish Maritime Research, vol. 27, no. 4, 2020.10.2478/pomr-2020-0071
Search in Google Scholar Back to article
10. H. Li, S. Liu, Q. Ma, P. Wang, D Liu and Q. Zhu, “Investigation of Process Stability and Weld Quality of Underwater Wet Flux-Cored Arc Welding of Low-Alloy High-Strength Steel with Oxy-Rutile Wire”, Polish Maritime Research, vol. 28, no. 3, 2021.10.2478/pomr-2021-0037
Search in Google Scholar Back to article
11. J. Kozak and J. Kowalski, “Problems of determination of welding angular distortions of T-fillet joints in ship hull structures”, Polish Maritime Research, vol. 22, no. 2(86), pp. 79-85, 2015.10.1515/pomr-2015-0020
Search in Google Scholar Back to article
12. J. Kozak and J. Kowalski, “The Influence of Manufacturing Oversizing on Postwelding Distortions of the Fillet Welded Joint”, Polish Maritime Research, vol. 22, no. 4(88), pp. 59-63, 2015.10.1515/pomr-2015-0072
Search in Google Scholar Back to article
13. M. Maternowski, Application of numerical methods for prediction of weld deformations of thin plates butt welded as well as laboratory verification of the results, Diploma thesis, Gdansk University of Technology, Faculty of Ocean Engineering and Ship Technology, (in Polish), 2021.
Search in Google Scholar Back to article
14. J. Wang, H. Zhao, J. Zou, H. Zhou, Z. Wu and S. Du, “Welding distortion prediction with elastic FE analysis and mitigation practice in fabrication of cantilever beam component of jack-up drilling rig”, Ocean Engineering, 2017.10.1016/j.oceaneng.2016.11.059
Search in Google Scholar Back to article
15. T. Gray, Ed., Control of welding distortion in thin-plate fabrication, Cambridge, Woodhead Publishing Limited, 2014.
Search in Google Scholar Back to article
16. A. Capriccioli and P. Frosi, “Multipurpose ANSYS FE procedure for welding processes simulation”, Fusion Engineering and Design, no. 84, 2009.10.1016/j.fusengdes.2009.01.039
Search in Google Scholar Back to article
17. S. Joshi, J. Hildebrand, A. S. Aloraier and T. Rabczuk, “Characterization of material properties and heat source parameters in welding simulation of two overlapping beads on a substrate plate”, Computational Materials Science, no. 69, 2013.10.1016/j.commatsci.2012.11.029
Search in Google Scholar Back to article
18. C. Heinze, C. Schwenk and M. Rethmeier, “Influences of mesh density and transformation behavior on the result quality of numerical calculation of welding induced distortion”, Simulation Modelling Practice and Theory, no. 19, 2011.10.1016/j.simpat.2011.05.001
Search in Google Scholar Back to article
19. D. Deng, Y. Zhou, T. Bi and X. Liu, “Experimental and numerical investigations of welding distortion induced by CO2 gas arc welding in thin-plate bead-on joints”, Materials and Design, no. 52, 2013.10.1016/j.matdes.2013.06.013
Search in Google Scholar Back to article
20. A. A. Bhatti, Z. Barsoum, H. Murakawa and I. Barsoum, “Influence of thermo-mechanical material properties of different steel grades on welding residual stresses and angular distortion,” Materials and Design, no. 65, 2015.10.1016/j.matdes.2014.10.019
Search in Google Scholar Back to article
21. D. Deng, “FEM prediction of welding residual stress and distortion in carbon steel considering phase transformation effects”, Materials and Design, 2009.10.1016/j.matdes.2008.04.052
Search in Google Scholar Back to article
22. Z. Barsoum, A. A. Bhatti and S. Balawi, “Accuracy of computational welding mechanics methods for estimation of angular distortion and residual stresses”, in 1st International Conference on Structural Integrity, Kalpakkam, 2014.
Search in Google Scholar Back to article
23. J. Zhu, M. Khurshid and Z. Barsoum, “Accuracy of computational welding mechanics methods for estimation of angular distortion and residual stresses”, Welding in the World, no. 63, 2019.10.1007/s40194-019-00746-9
Search in Google Scholar Back to article
24. S. C. Park, H. S. Bang and W. J. Seong, “Effects of Material Properties on Angular Distortion in Wire Arc Additive Manufacturing: Experimental and Computational Analyses”, Materials, 2020.
Search in Google Scholar Back to article
25. K. Ferenc, Welding, Warszawa: Wydawnictwa Naukowo-Techniczne, 2007 (in Polish).
Search in Google Scholar Back to article
26. J. A. Goldak and M. Akhlaghi, Computational Welding Mechanics, New York: Springer Science+Business Media, 2005.
Search in Google Scholar Back to article
27. Y. Rong, G. Zhang and Y. Huang, “Study of Welding Distortion and Residual Stress Considering Nonlinear Yield Stress Curves and Multi-constraint Equations”, Journal of Materials Engineering and Performance, 2016.10.1007/s11665-016-2259-1
Search in Google Scholar Back to article
28. H. Long, D. Gery, A. Carlier and P. Maropoulos, “Prediction of welding distortion in butt joint of thin plates,” Materials and Design, 2009.10.1016/j.matdes.2009.05.004
Search in Google Scholar Back to article
29. P. Knoedel, S. Gkatzogiannis and T. Ummenhofer, “Practical aspects of welding residual stress simulation”, Journal of Constructional Steel Research, 2017.10.1016/j.jcsr.2017.01.010
Search in Google Scholar Back to article
30. S. Silva, L. Vilarinho, A. Scotti, T. H. Ong and G. Guimaraes, “Heat flux determination in the gas tungsten-arc welding process by using a three-dimensional model in inverse heat conduction problem”, High Temperatures‒High Pressures, 2003/2004.
Search in Google Scholar Back to article
31. C. Heinze, C. Schwenk and M. Rethmeier, “Effect of heat source configuration on the result quality of numerical calculation of welding-induced distortion”, Simulation Modelling Practice and Theory, 2012.10.1016/j.simpat.2011.09.004
Search in Google Scholar Back to article
32. S. Vrtiel and M. Behulova, “Analysis of laser beam welding of the S650MC high strength steel using numerical simulation,” in IOP Conference Series: Materials Science and Engineering, 2019.10.1088/1757-899X/465/1/012010
Search in Google Scholar Back to article
33. S. Akella, H. Vemanaboina and R. K. Buddu, “Heat Flux for Welding Processes: Model for Laser Weld”, Sreyas International Journal of Scientists and Technocrats, 2016.10.24951/sreyasijst.org/2016011002
Search in Google Scholar Back to article
34. X. Zhan, G. Mi, Q. Zhang, Y. Wei and W. Ou, “The hourglass-like heat source model and its application for laser beam welding of 6 mm thickness 1060 steel”, International Journal of Advanced Manufacturing Technology, 2017.10.1007/s00170-016-8797-8
Search in Google Scholar Back to article
35. M. Chiumenti, M. Cervera, A. Salmi, C. A. Saracibar, N. Dialami and K. Matsui, “Finite element modeling of multi-pass welding and shaped metal deposition processes”, Computer Methods in Applied Mechanics and Engineering, 2010.10.1016/j.cma.2010.02.018
Search in Google Scholar Back to article
36. M. Peric, Z. Tonkovic, A. Rodic, I. Garasic, I. Boras and S. Svaic, “Numerical analysis and experimental investigation of welding residual stresses and distortions in a T-joint fillet weld”, Materials and Design, 2014.10.1016/j.matdes.2013.08.011
Search in Google Scholar Back to article
37. Z. Barsoum and I. Barsoum, “Residual stress effects on fatigue life of welded structures using LEFM”, Engineering Failure Analysis, 2009.10.1016/j.engfailanal.2008.06.017
Search in Google Scholar Back to article
38. K. Seles, M. Peric and Z. Tonkovic, “Numerical simulation of a welding process using a prescribed temperature approach”, Journal of Constructional Steel Research, 2018.10.1016/j.jcsr.2018.02.012
Search in Google Scholar Back to article
39. M. Peric, D. Stamenkovic and V. Milkovic, “Comparison of Residual Stresses in Butt-Welded Plates Using Software Packages Abaqus and ANSYS”, Scientific Technical Review, vol. 60, 2010.
Search in Google Scholar Back to article
40. J. Klassen, T. Nitschke-Pagel and K. Dilger, “Simplified residual stress and distortion calculations of multi-pass welds and their possible influence on result quality”, Welding in the World, 2019.10.1007/s40194-019-00748-7
Search in Google Scholar Back to article
41. Y. Yang, F. Brust, Z. Cao, J. Kennedy, X. Chen, Z. Yang and N. Chen, “Lump-Pass Welding Simulation Technology Development for Shipbuilding Applications”, in 6th International Trends in Welding Research 2002, Pine Mountain, USA, 2003.10.1115/PVP2002-1105
Search in Google Scholar Back to article
42. P. Dong, J. Hong and P. Bouchard, “Analysis of residual stresses at weld repairs”, International Journal of Pressure Vessels and Piping, 2005.10.1016/j.ijpvp.2004.08.004
Search in Google Scholar Back to article
43. J. Guirao, E. Rodriguez, A. Bayon and L. Jones, “Use of a new methodology for prediction of weld distortion and residual stresses using FE simulation applied to ITER vacuum vessel manufacture”, Fusion Engineering and Design, 2009.10.1016/j.fusengdes.2009.04.009
Search in Google Scholar Back to article
44. [44] Z. Barsoum, A. Bhatti and S. Balawi, “Computational Weld Mechanics – Towards a simplified and cost effective approach for large welded structures”, in 1st International Conference on Structural Integrity, Funchal, 2015.10.1016/j.proeng.2015.08.040
Search in Google Scholar Back to article
45. H. Huang, N. Ma, T. Hashimoto and H. Murakawa, “Welding Deformation and Residual Stresses in Arc Welded Lap Joints by Modified Iterative Analysis”, Science and Technology of Welding & Joining, 2015.10.1179/1362171815Y.0000000040
Search in Google Scholar Back to article
46. J. Wang, H. Yuan, N. Ma and H. Murakawa, “Recent research on welding distortion prediction in thin plate fabrication by means of elastic FE computation”, Marine Structures, 2016.10.1016/j.marstruc.2016.02.004
Search in Google Scholar Back to article
47. Y. Rong, J. Xu, Y. Huang and G. Zhang, “Review on finite element analysis of welding deformation and residual stress”, Science and Technology of Welding and Joining, 2018.10.1080/13621718.2017.1361673
Search in Google Scholar Back to article
48. J. Wang, X. Shi, H. Zhou, Z. Yang and J. Liu, “Dimensional precision controlling on out-of-plane welding distortion of major structures in fabrication of ultra large container ship with 20000TEU”, Ocean Engineering, 2020.10.1016/j.oceaneng.2020.106993
Search in Google Scholar Back to article
49. N. Ma, “An accelerated explicit method with GPU parallel computing for thermal stress and welding deformation of large structure models”, International Journal of Advanced Manufacturing Technology, 2016.
Search in Google Scholar Back to article

Prediction of Weld Deformations by Numerical Methods - Review

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