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International Journal of AI for
            Materials and Design                                             Biomimetic ML for AFSD aluminum properties



            ensuring  a  strong  bond  with  the  substrate.  In  addition,   in the 11-direction (typically aligned with the build
            pressure influences both the material flow and the shape   direction in AFSD), allowing for the assessment of residual
            of the deposited bead. Shear longitude refers to the shear   stresses caused by thermal and mechanical loads. Plastic
            force acting in the direction of the tool’s travel. This force   strain (PEEQ) is a scalar measure of plastic deformation
            plays an important role in material transport, mixing, and   that complements AC YIELD in identifying regions where
            the formation of the characteristic AFSD microstructure.   the material may fail or undergo significant changes in
            In contrast, shear rotational refers to the circumferential   properties. LE,  representing logarithmic  strain,  is used
            shear force generated around the tool. It contributes to   to analyze material behavior under large deformations,
            material flow, stirring, and the development of the final   which are common in AFSD due to elevated temperatures
            part geometry.                                     and severe plastic deformation. HFL, the heat flux vector,
              Figure 2 displays the predicted outcomes of the AFSD   indicates both the direction and magnitude of heat flow
            simulations. One key parameter, AC YIELD, represents   during AFSD, encompassing conduction, convection,
            the accumulated equivalent plastic strain at the end of each   and radiation.  Understanding  heat flux patterns  is
            increment. This parameter is crucial for understanding   essential for  optimizing  process  parameters  and cooling
            the extent of plastic deformation during the AFSD process   strategies. The present work focused on the deposition
            and helps identify regions susceptible to material failure   of similar alloy layers onto a substrate of a similar alloy.
            due to excessive strain. It also supports the optimization   The input parameters for these simulations included the
            of process parameters to achieve desired material   elastic modulus of the alloys (GPa), specific heat (J/kg·K),
            properties. Gradient of Temperature (GRADT), the spatial   shear  translation  (n),  shear  rotational  (N·m),  and  heat
            temperature gradient, reveals temperature distribution   source (W/m³). These parameters were carefully selected
            and  heat  flow within  the  material  during AFSD. Sharp   to represent the key physical properties and process
            temperature gradients can induce thermal stresses and   conditions influencing the AFSD process, as summarized
            affect the microstructure and mechanical properties of the   in  Table  2. The primary output parameters analyzed
            final part. NT11 represents the normal stress component   were  the  von Mises  stress (MPa) and  logarithmic  strain







































            Figure 2. Visualization of predicted outcomes from the additive friction stir deposition numerical simulations, including accumulated equivalent plastic
            strain (AC YIELD), temperature gradient (GRADT), von Mises stress (NT11), and logarithmic strain (LE). These parameters are essential for assessing
            material properties and the overall performance of the deposited structures.


            Volume 2 Issue 3 (2025)                         35                             doi: 10.36922/ijamd.5014
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