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Materials Science in Additive Manufacturing                 Numerical simulation of plasma WAAM for Ti-6Al-4V






                        A                                       B








                        C                                    D

















            Figure 7. Plasma-based wire arc additive manufacturing simulation and mechanical behavior of a Ti-6Al-4V single-walled structure. (A) Numerical model
            of the single wall structure. (B) Total displacement of the wall after cooling and unclamping the top surface. (C) Top surface out-of-plane distortion along
            the longitudinal direction. (D) Bottom surface out-of-plane distortion along the longitudinal direction .
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            role in defining the final part’s structural integrity and   A  numerical model using Simufact Welding 8.0 was
            performance.                                       developed to predict the thermal behavior of weld beads,
              To evaluate the applicability of the calibrated single-  and  experimental  data  were  used  for  model  verification
            bead model to more realistic build scenarios, Bielik et al.    and heat source calibration. The results contribute to the
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            extended the numerical simulation framework to a multi-  optimization of structural welding simulations and the
            layer deposition scenario, representative of realistic WAAM   improvement of predictive modeling in AM. The main
            components. The thermal model was adapted to simulate   conclusions of this study are as follows:
            the deposition process and to predict the distortion fields   (i)  The Goldak double-ellipsoid heat source model
            for a complete wall structure using Simufact Welding, as   effectively represents the experimentally determined
            shown in Figure 7.  The previously derived and calibrated   conditions, demonstrating its suitability for structural
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            heat source parameters and thermal coefficients remain   welding simulations. However, improved temperature
            unchanged, with only the deposition trajectory modified   measurement  techniques,  including  shielded
            to reflect the multi-pass nature of the wall geometry.  thermocouples,  advanced  mounting  methods,
                                                                  higher-frequency data logging, real-time weld pool
              Further studies are needed to assess the correlation   monitoring, and data-driven algorithms, are required
            between the thermal and geometric evolution of the    to improve calibration accuracy.
            WAAM parts during multi-layer deposition (aerospace   (ii)  The  simulation  results  successfully  reproduce  the
            structures,  cylindrical, and nonlinear structures ). In   temperature distributions, with predictions of
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            addition, there is an increasing shift toward material   the melt zone and HAZ in close agreement with
            deposition along arbitrary paths, enabling the modeling   experimental measurements. However, discrepancies
            and fabrication of complex metal structures with greater   arise due to uncertainties in heat source calibration,
            precision and predictability.                         simplifications in bead geometry modeling, and
                                                                  assumptions in boundary conditions, highlighting the
            5. Conclusion                                         need for further refinement.
            This study presents a comprehensive methodology for   (iii) The effectiveness of the trial-and-error method
            calibrating the Goldak double-ellipsoid heat source model   depends on the expertise of the user, which introduces
            in  plasma-based  WAAM  of  Ti6Al4V  single-track  welds,   variability in results. This approach to parameter
            integrating FE simulations and experimental validation.   tuning is case-specific and requires recalibration for


            Volume 4 Issue 3 (2025)                         12                        doi: 10.36922/MSAM025140021
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