Comparative assessment of backstress models using high-energy X-ray diffraction microscopy experiments and crystal plasticity finite element simulations

Informing Mechanical Model Development Using Lower-Dimensional Descriptions of Lattice Distortion

“…In this work, we have proposed a novel means to utilize diffraction data that was analyzed using data dimensionality reduction (locally linear embedding) to guide the (11)…”

“…These new data provide opportunities to develop and calibrate state variable evolution equations that reflect measured microstructural evolution, in addition to more traditional comparisons to macroscopic response. Although up to this point, use of these data for model development has been primarily limited to calibration and validation of existing constitutive models [1][2][3][4][5][6][7][8][9][10][11], and the proposition of new experimentally informed evolution equations has been limited [12]. Essentially, the data are analyzed solely through the lens of existing physical understanding of microscale material.…”

PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys

“…Zheng et al 12 also employed a DDP model to study the elastically stored energy associated with the interactions of dislocations and their structures, and how this dislocation configuration energy affects fatigue crack nucleation and growth. To better assess the performance of crystal plasticity model and backstress formulations, high energy X-ray diffraction microscopy (HEDM) experiments and simulations were used to track the stress-state of individual grains within a polycrystalline Ni-base superalloy subjected to cyclic loading 13 . HEDM has recently become more ubiquitous in microstructure-sensitive fatigue investigations because it allows for a direct comparison between the micromechanical simulated vs. experimental stress-strain response of individual grains 14,15 .…”