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Numerical methods for linear friction welding simulation of aeronautical alloys

Abstract : Linear Friction Welding (LFW) is an assembly process for producing high quality joins of metallic alloys for aero engines [1]. It consists in enforcing a relative linear motion of the two components to be welded together while applying a compressive force between them. Resulting friction heats the material interface up to viscous state and produces the weld. Its occurrence and quality depend on material, friction and process parameters such as force intensity and oscillation frequency and amplitude. Assembly of new and dissimilar materials requires an improved understanding of the process coming both from experiments and numerical simulation. Previous numerical investigations of LFW [2-4] have been based on model simplifications, such as artificial process symmetry, to get around intrinsic simulation difficulties. A more comprehensive approach is necessary to both provide more insights on the process, to quantify the error introduced by those simplifications and to consider dissimilar materials. The process being governed by local heating phenomena, it induces contact-related instabilities, which numerical modelling requires a special attention. High temperature drives material softening and flowing at the close vicinity of friction surface, which is very sensitive to both finite element size and contact algorithm. Automatic mesh adaptation, based on error estimation, is consequently required to ensure the necessary precision in the continuously evolving zone of interest [5], which cannot be achieved by uniform or handily crafted meshes. With utilized Forge® software, the current contact algorithm between deformable bodies leads to uncontrolled and unphysical instabilities. Specific techniques such as contact surface smoothing [6] and bilateral contact formulation are used to handle this issue. Numerical results are compared to LFW machine monitoring in terms of global mechanical forces and displacements under prescribed pressure. In-process thermocouple measures also provide accurate information close to the welding zone allowing for friction coefficient calibration. References : [1] I. Bahmji and al.,”Linear friction welding in aerospace engineering” from Welding and Joining of Aerospace Materials, Woodhead Publishing, (2012). [2] A. Vairis and M. Frost, “Modelling the linear friction welding of titanium blocks”, Materials science and Engineering, 292-1, 8-17 (2000). [3] W. Li and al., “Numerical simulation of linear friction welding of titanium alloy: Effects of processing parameters”, Materials and Design, 31, 1497-1507 (2010). [4] J. Sorina-Müller and al., “FEM simulation of the linear friction welding of titanium alloys”, Computational Materials Science, 48, 749-758 (2010). [5] S. Guerdoux and al. A 3D numerical simulation of different phases of friction stir welding. Modelling and simulation in materials science and engineering, 17(7) (2009) [6] M. Hachani and al. A smoothing procedure based on quasi-C 1 interpolation for 3D contact mechanics with applications to metal forming. Computers & Structures, 128, 1-13. (2013)
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Submitted on : Friday, February 16, 2018 - 3:51:21 PM
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  • HAL Id : hal-01710985, version 1


Antoine Potet, Katia Mocellin, Lionel Fourment. Numerical methods for linear friction welding simulation of aeronautical alloys. COMPLAS 2017 - XIV International Conference on Computational Plasticity. Fundamentals and Applications, International Centre for Numerical Methods in Engineering, Sep 2017, Barcelona, Spain. ⟨hal-01710985⟩



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