–
Inverse identification of the heterogeneous strain hardening of the friction stir welded aluminum sheets using virtual fields method
KIM Chanyang, LEE Jinwoo, KIM Daeyong, LEE Myoung-Gyu
download PDFAbstract. In this paper, inverse identification of the local heterogeneous strain hardening in friction stir welded aluminum alloy sheets using a single tensile test is presented. During friction stir welding, the mechanical properties of the jointed aluminum sheets are altered from their original states. The finite element-based virtual fields method (FE-VFM) was applied to measure this change in the mechanical properties during the joining. Special numerical schemes were adopted in the FE-VFM for the accurate and numerically efficient identification of the local properties, including a two-step VFM calculation procedure, a sub-zone division approach in the weld-affected zone, quadratic interpolation of the constitutive parameters, and a special type of virtual fields based on the Gauss distribution function. The newly developed method was applied to measure strain-hardening distributions of the friction stir welded AA6061-T6 sheets. The measured distributions of the local strain hardening well captured decreased strength in the narrow thermo-mechanically affected zone (TMAZ). Finally, inversely measured mechanical properties were validated based on finite element analysis.
Keywords
FSW, VFM, Inverse Method, Local Plastic Strain Hardening, Aluminum Alloys
Published online 4/24/2024, 9 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: KIM Chanyang, LEE Jinwoo, KIM Daeyong, LEE Myoung-Gyu, Inverse identification of the heterogeneous strain hardening of the friction stir welded aluminum sheets using virtual fields method, Materials Research Proceedings, Vol. 41, pp 1752-1760, 2024
DOI: https://doi.org/10.21741/9781644903131-194
The article was published as article 194 of the book Material Forming
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] X. He, F. Gu, A. Ball, A review of numerical analysis of friction stir welding, Prog. Mat. Sci. 65 (2014) 1-66. https://doi.org/10.1016/j.pmatsci.2014.03.003
[2] D. Myung, W. Noh, J.-H. Kim, J. Kong, S.-T. Hong, M.-G. Lee, Probing the Mechanism of Friction Stir Welding with ALE Based Finite Element Simulations and Its Application to Strength Prediction of Welded Aluminum, Metals Mat. Int. 27 (2021) 650–666. https://doi.org/10.1007/s12540-020-00901-8
[3] G. Güleryüz, Relationship between FSW parameters and hardness of the ferritic steel joints: Modeling and optimization, Vacuum 178 (2020) 109449. https://doi.org/10.1016/j.vacuum.2020.109449
[4] J.H. Kim, F. Barlat, C. Kim, K. Chung, Themo-mechanical and microstructural modeling of friction stir welding of 6111-T4 aluminum alloys, Metals Mat. Int. 15 (2009) 125-132. https://doi.org/10.1007/s12540-009-0125-5
[5] D. Rao, J. Heerens, G. Alves Pinheiro, J.F. dos Santos, N. Huber, On characterisation of local stress-strain properties in friction stir welded aluminium AA5083 sheets using micro-tensile specimen testing and instrumented indentation technique, Mat. Sci. Eng. A 527 (2010) 5018-5025. https://doi.org/10.1016/j.msea.2010.04.047
[6] D. Bernard, D.G. Hattingh, W.E. Goosen, M.N. James, High Speed Friction Stir Welding of 5182-H111 Alloy: Temperature and Microstructural Insights into Deformation Mechanisms, Metals Mat. Int. 27 (2021) 2821-2836. https://doi.org/10.1007/s12540-020-00622-y
[7] G. Cao, M. Ren, Y. Zhang, W. Peng, T. Li, A partitioning method for friction stir welded joint of AA2219 based on tensile test, Metals 10 (2020) 65. https://doi.org/10.3390/met10010065
[8] M.A. Sutton, J.H. Yan, S. Avril, F. Pierron, S.M. Adeeb, Identification of heterogeneous constitutive parameters in a welded specimen: Uniform stress and virtual fields methods for material property estimation, Exp. Mech. 48 (2008) 451–464. https://doi.org/10.1007/s11340-008-9132-6
[9] F. Tucci, A. Andrade-Campos, S. Thuillier, P. Carlone, Calibration of the Elasto-Plastic Properties of Friction Stir Welded Blanks in Aluminum Alloy AA6082, Key Eng. Mater. 926 (2022) 2183–2192. https://doi.org/10.4028/p-3a8e45
[10] G. Le Louëdec, F. Pierron, M.A. Sutton, A.P. Reynolds, Identification of the Local Elasto-Plastic Behavior of FSW Welds Using the Virtual Fields Method, Exp. Mech. 53 (2013) 849–859. https://doi.org/10.1007/s11340-012-9679-0
[11] G. Le Louëdec, F, Pierron, M.A. Sutton, C. Siviour, A.P. Reynolds, Identification of the Dynamic Properties of Al 5456 FSW Welds Using the Virtual Fields Method, J. Dynamic Behavior Mater. 1 (2015) 176–190. https://doi.org/10.1007/s40870-015-0014-6
[12] C. Kim, J.H. Kim, M.-G. Lee, Identification of Inhomogeneous Plastic Constitutive Models of Friction Stir Welded Aluminum Alloy Sheets Using Virtual Fields Method, Conf. Proc. Soci. Exp. Mech. (2020) 157–161. https://doi.org/10.1007/978-3-030-30098-2_24
[13] H. Jiang, Z. Lei, R. Bai, W. Wu, et al., Identifying elasto-plastic damage coupling model of laser-welded aluminum alloy by virtual field method and digital image correlation, Opt. Laser Tech. 129 (2020) 106268. https://doi.org/10.1016/j.optlastec.2020.106268
[14] C. Kim, D. Myung, D. Kim, M.-G. Lee, Inhomogeneous flow stresses in FSW jointed aluminum alloy sheets inversely identified by FE-VFM, Int. J Mech. Sci. 245 (2023) 108097. https://doi.org/10.1016/j.ijmecsci.2022.108097
[15] C. Kim, M.-G. Lee, Finite element-based virtual fields method with pseudo-real deformation fields for identifying constitutive parameters, Int. J of Sol. Struct. 233 (2021) 111204. https://doi.org/10.1016/j.ijsolstr.2021.111204
[16] C. Kim, J.H. Kim, M.-G. Lee, A virtual fields method for identifying anisotropic elastic constants of fiber reinforced composites using a single tension test: Theory and validation, Composites Part B: Eng. 200 (2020) 108338. https://doi.org/10.1016/j.compositesb.2020.108338
