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Anisotropic multiscale modelling in sae-aisi 1524 gas tungsten arc welded joints

  • Edison A. Bonifaz*
  • , Ikumu Watanabe
  • *Corresponding author for this work
  • National Institute for Materials Science

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A transient non-linear multiscale finite element heat flow-mechanical model to determine micro residual stresses (type III) and micro plastic strains in SAE-AISI 1524 gas tungsten arc welded joints is developed. To include anisotropy by preferred crystallographic orientation or texture, the global domain was decomposed into small subdomains based on the concept of representative volume elements (RVEs). A three-dimensional numerical procedure was developed by using the coupling DREAM.3D-ABAQUS. The macro scale temperature gradient information as prescribed driven (load) boundary conditions was used to calculate the meso thermal cycles, and the meso scale temperature gradient information was used to calculate the micro thermal cycles needed in the subsequent mechanical analysis. Anisotropy was included by randomly entering in each grain of the RVE specimen either the maximum Young’s modulus (Emax) in the stiffest direction <111>, or the minimum Young’s modulus (Emin) in the least stiff direction <100>. Under this assumption, the averaging of the grain orientations over all grains in the textured polycrystal with greater number of grains ocurred, and the strength was diluted by the spread of orientations present. Higher Mises stresses evolved in the sample with coarse grain size (16 µm), which indicates that the strong dependence of residual micro stresses on grain size was reversed. The influence of the grain size on the response of the aggregates is clearly observed.

Original languageEnglish
Article number245
Pages (from-to)1-11
Number of pages11
JournalCrystals
Volume11
Issue number3
DOIs
StatePublished - Mar 2021

Keywords

  • Anisotropy
  • Digital microstructure code
  • GTA welding
  • Micro residual stresses
  • Sub-modeling
  • Thermal gradients

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