Articles with public access mandates - Ashley SpearLearn more
Not available anywhere: 4
The AFRL additive manufacturing modeling challenge: predicting micromechanical fields in AM IN625 using an FFT-based method with direct input from a 3D microstructural image
CK Cocke, AD Rollett, RA Lebensohn, AD Spear
Integrating Materials and Manufacturing Innovation 10 (2), 157-176, 2021
Mandates: US Department of Energy, US Department of Defense
A voxel-based remeshing framework for the simulation of arbitrary three-dimensional crack growth in heterogeneous materials
BR Phung, AD Spear
Engineering Fracture Mechanics 209 (0013-7944), 404-422, 2019
Mandates: US Department of Defense
Material Modeling in Additive Manufacturing
AD Spear
Additive Manufacturing Design and Applications, 60-66, 2023
Mandates: US National Science Foundation
CNN-Informed Genetic Algorithm for Optimizing Mechanical Performance of Carbon Nanotube Microscale Bundles
K DeMille, JR Leigh, R Hall, I Guven, A Spear
AIAA SCITECH 2023 Forum, 0771, 2023
Mandates: US National Aeronautics and Space Administration
Available somewhere: 38
Effect of laser-matter interaction on molten pool flow and keyhole dynamics
N Kouraytem, X Li, R Cunningham, C Zhao, N Parab, T Sun, AD Rollett, ...
Physical Review Applied 11 (6), 064054, 2019
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Predicting microstructure-dependent mechanical properties in additively manufactured metals with machine-and deep-learning methods
C Herriott, AD Spear
Computational Materials Science 175, 109599, 2020
Mandates: US Department of Defense
The third Sandia Fracture Challenge: predictions of ductile fracture in additively manufactured metal
SLB Kramer, A Jones, A Mostafa, B Ravaji, T Tancogne-Dejean, CC Roth, ...
International Journal of Fracture 218, 5-61, 2019
Mandates: US Department of Energy, US Department of Defense
Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches
N Kouraytem, X Li, W Tan, B Kappes, AD Spear
Journal of Physics: Materials 4 (3), 032002, 2021
Mandates: US National Science Foundation, US Department of Defense
Effects of laser-energy density and build orientation on the structure–property relationships in as-built Inconel 718 manufactured by laser powder bed fusion
DS Watring, JT Benzing, N Hrabe, AD Spear
Additive manufacturing 36, 101425, 2020
Mandates: US National Science Foundation, US Department of Defense
A machine learning framework for predicting the shear strength of carbon nanotube-polymer interfaces based on molecular dynamics simulation data
A Rahman, P Deshpande, MS Radue, GM Odegard, S Gowtham, ...
Composites Science and Technology 207, 108627, 2021
Mandates: US National Aeronautics and Space Administration
A recrystallization heat-treatment to reduce deformation anisotropy of additively manufactured Inconel 718
N Kouraytem, J Varga, B Amin-Ahmadi, H Mirmohammad, RA Chanut, ...
Materials & Design 198, 109228, 2021
Mandates: US Department of Defense
Mechanisms driving high-cycle fatigue life of as-built inconel 718 processed by laser powder bed fusion
DS Watring, KC Carter, D Crouse, B Raeymaekers, AD Spear
Materials Science and Engineering: A 761 (0921-5093), 137993, 2019
Mandates: US National Science Foundation, US Department of Defense
A multi-scale, multi-physics modeling framework to predict spatial variation of properties in additive-manufactured metals
CF Herriott, X Li, N Kouraytem, V Tari, W Tan, BS Anglin, AD Rollett, ...
Modelling and Simulation in Materials Science and Engineering 27, 025009, 2019
Mandates: US Department of Defense
Predicting microstructure-sensitive fatigue-crack path in 3D using a machine learning framework
K Pierson, A Rahman, AD Spear
Jom 71 (8), 2680-2694, 2019
Mandates: US Department of Defense
A multiscale comparison of stochastic open-cell aluminum foam produced via conventional and additive-manufacturing routes
KE Matheson, KK Cross, MM Nowell, AD Spear
Materials Science and Engineering: A 707, 181-192, 2017
Mandates: US National Science Foundation
Data-Driven Materials Investigations: The Next Frontier in Understanding and Predicting Fatigue Behavior
AD Spear, SR Kalidindi, B Meredig, A Kontsos, JB le Graverend
JOM 70 (7), 1143-1146, 2018
Mandates: US National Science Foundation, US Department of Defense
Generalized analytical displacement model for wind turbine towers under aerodynamic loading
J Feliciano, G Cortina, A Spear, M Calaf
Journal of Wind Engineering and Industrial Aerodynamics 176, 120-130, 2018
Mandates: US Department of Energy
Dynamic-loading behavior and anisotropic deformation of pre-and post-heat-treated IN718 fabricated by laser powder bed fusion
N Kouraytem, RA Chanut, DS Watring, T Loveless, J Varga, AD Spear, ...
Additive Manufacturing, 101083, 2020
Mandates: US Department of Defense
A method to generate conformal finite‐element meshes from 3D measurements of microstructurally small fatigue‐crack propagation
AD Spear, JD Hochhalter, AR Cerrone, SF Li, JF Lind, RM Suter, ...
Fatigue & Fracture of Engineering Materials & Structures 39 (6), 737-751, 2016
Mandates: US National Science Foundation, US Department of Energy, US National …
Investigating the efficacy of machine learning tools in modeling the continuous stabilization and carbonization process and predicting carbon fiber properties
N Shirolkar, P Patwardhan, A Rahman, A Spear, S Kumar
Carbon 174, 605-616, 2021
Mandates: US Department of Defense, US National Aeronautics and Space Administration
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