Initializing intragranular residual stresses within statistically equivalent microstructures for crystal plasticity simulations
We propose a mechanics framework to compute intragranular or type III residual stress
within a polycrystalline aggregate for which experimental characterization of residual stress …
within a polycrystalline aggregate for which experimental characterization of residual stress …
A comprehensive analysis of cermet design and thermal cyclic stability via elasto-viscoplastic crystal plasticity modeling
Ceramic-metal composites, or cermets, exhibit beneficial properties resulting in their use in
many industrial applications. One challenge with cermets is mismatches in the coefficient of …
many industrial applications. One challenge with cermets is mismatches in the coefficient of …
Comparative Analysis of Irradiation-stimulated Hardening in the Austenite and Ferrite Phases of F321 Stainless Steel
P Lin, J Nie, W Cui, L He, S Cui, Y Lu - Acta Materialia, 2024 - Elsevier
F321 stainless steel is renowned for its outstanding mechanical properties and corrosion
resistance, making it a crucial structural material in light water reactors and high-temperature …
resistance, making it a crucial structural material in light water reactors and high-temperature …
Phasing effects on thermo-mechanical fatigue damage investigated via crystal plasticity modeling
Nickel (Ni)-based superalloys have high strength at elevated temperatures, making them
ideal candidates for aerospace components exposed to thermo-mechanical loads. Thermo …
ideal candidates for aerospace components exposed to thermo-mechanical loads. Thermo …
Physically informed deep learning networks for simulating microstructure evolution of 3D polycrystals
As discussed in the previous chapter, high energy diffraction microscopy (HEDM) is used to
study the micromechanical evolution of a material during in situ loading. HEDM experiments …
study the micromechanical evolution of a material during in situ loading. HEDM experiments …
Physics-Informed Deep Learning Networks for Increased Accuracy and Reliability of Material Simulations
A Lenau - 2024 - rave.ohiolink.edu
Simulations of materials are a cost-efcient way to study materials that aid in experimental
planning and material design. For example, stress and plasticity analysis is readily …
planning and material design. For example, stress and plasticity analysis is readily …