Micromodelamiento del comportamiento mecánico de un acero doble fase empleando el modelo GTN
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In this paper, a dual-phase steel is micromodeled and its mechanical behavior is studied using the GTN (Gurson-Tvergaard-Needleman) failure model to predict porosity damage in the ductile phases in response to mechanical loading. The microstructure is generated using Neper software, which facilitates the creation of a polycrystal using statistical distributions in Voronoi tessellations. Based on data from the literature on dual-phase materials, a detailed representation of the phases present in the alloy is created. Once the microstructure is defined, the material is characterized in each of its phases using Ansys APDL software. This analysis focuses on adjusting the model parameters to accurately represent the mechanical behavior of the phases, comparing the values used by different authors in their studies on the Gurson model, as well as selecting an optimal element size, taking into account the sensitivity of the generated model to mesh variation. To represent the overall behavior of the steel under loading conditions, the generated geometry is subjected to a variable pressure, recording data related to stress, strain, and void volume percentage. A graphical representation of the results is then performed, allowing a visualization of the damage evolution as a function of the applied load and a variation analysis to determine the influence of the loading direction. Finally, the results obtained were compared with the experimental values reported in the literature. The conclusions indicated that the model was not the most optimal for predicting damage under the loading conditions studied, as the relative error obtained was greater than expected. This suggests that, although the model is useful for simulating certain aspects of the material's behavior, it does not accurately reflect damage evolution in all cases. However, despite these limitations, the micromodeling approach using the GTN model provided a reasonable representation of the behavior of dual-phase steel and opened the door for future research to optimize the representation of this kind of material.
