activity
20172024
most citedThe influence of alloying on slip intermittency and the implications for dwell fatigue in titanium

30 citations · 77 across the 12 of their papers we have counts for

collaborators

12 papers

cond-mat.mtrl-sci2024

The influence of substantial intragranular orientation gradients on the micromechanical response of heavily-worked material

Karthik Shankar, Meddelin Setiawan, Katherine S. Shanks +3

In this study, we employ high-energy X-ray characterization to examine the role of relatively large amounts of intragranular lattice misorientation -- present after many thermomech…

cond-mat.mtrl-sci2023

An In Situ Study of the Role of Pressure on Fe Recrystallization and Grain Growth during Thermomechanical Processing

Darren C. Pagan, Lukas A. Kissell, Matthew L. Whitaker

Elevated pressures are encountered in many metal forming processes that can alter microstructural evolution rates. Here we measure rate changes with pressure in recrystallization a…

cond-mat.mtrl-sci2023★ 1 cited

Combining Synchrotron X-ray Diffraction, Mechanistic Modeling, and Machine Learning for In Situ Subsurface Temperature Quantification during Laser Melting

Rachel E. Lim, Tuhin Mukherjee, Chihpin Chuang +3

Laser melting, such as that encountered during additive manufacturing (AM), produces extreme gradients of temperature in both space and time, which in turn influence microstructura…

physics.app-ph2022★ 3 cited

Non-destructive Depth-Resolved Characterization of Residual Strain Fields in High Electron Mobility Transistors using Differential Aperture X-ray Microscopy

Darren C. Pagan, Md Abu Jafar Rasel, Rachel E. Lim +3

Localized residual stress and elastic strain concentrations in microelectronic devices often affect the electronic performance, resistance to thermomechanical damage, and, likely,…

cond-mat.mtrl-sci2022★ 1 cited

Graph Neural Network Modeling of Grain-scale Anisotropic Elastic Behavior using Simulated and Measured Microscale Data

Darren C. Pagan, Calvin R. Pash, Austin R. Benson +1

Here we assess the applicability of graph neural networks (GNNs) for predicting the grain-scale elastic response of polycrystalline metallic alloys. Using GNN surrogate models, gra…

cond-mat.mtrl-sci2022★ 30 cited

The influence of alloying on slip intermittency and the implications for dwell fatigue in titanium

Felicity F. Worsnop, Rachel E. Lim, Joel V. Bernier +5

Dwell fatigue, the reduction in fatigue life experienced by titanium alloys due to holds at stresses as low as 60% of yield, has been implicated in several uncontained jet engine f…