Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Q Zhu, Z Liu, J Yan - Computational Mechanics, 2021 - Springer
The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …

Dynamics of pore formation during laser powder bed fusion additive manufacturing

AA Martin, NP Calta, SA Khairallah, J Wang… - Nature …, 2019 - nature.com
Laser powder bed fusion additive manufacturing is an emerging 3D printing technique for
the fabrication of advanced metal components. Widespread adoption of it and similar …

Assessing printability maps in additive manufacturing of metal alloys

L Johnson, M Mahmoudi, B Zhang, R Seede, X Huang… - Acta Materialia, 2019 - Elsevier
We propose a methodology for predicting the printability of an alloy, subject to laser powder
bed fusion additive manufacturing. Regions in the process space associated with keyhole …

Concussion, microvascular injury, and early tauopathy in young athletes after impact head injury and an impact concussion mouse model

CA Tagge, AM Fisher, OV Minaeva… - Brain, 2018 - academic.oup.com
The mechanisms underpinning concussion, traumatic brain injury, and chronic traumatic
encephalopathy, and the relationships between these disorders, are poorly understood. We …

A Review of Large-Scale Simulations of Microstructural Evolution during Alloy Solidification

N Cusato, SA Nabavizadeh, M Eshraghi - Metals, 2023 - mdpi.com
During the past two decades, researchers have shown interest in large-scale simulations to
analyze alloy solidification. Advances in in situ X-ray observations of the microstructural …

Mechanochemically responsive polymer enables shockwave visualization

PJ Centellas, KD Mehringer, AL Bowman… - Nature …, 2024 - nature.com
Understanding the physical and chemical response of materials to impulsive deformation is
crucial for applications ranging from soft robotic locomotion to space exploration to …

Modeling the effects of shock pressure and pore morphology on hot spot mechanisms in HMX

HK Springer, S Bastea, AL Nichols III… - Propellants …, 2018 - Wiley Online Library
We investigate the effects of shock pressure and pore morphology on the formation and
growth of hot spots in HMX (octahydro‐1, 3, 5, 7‐tetranitro‐1, 3, 5, 7‐tetrazocine). Both non …

Automatic differentiation in MetaPhysicL and its applications in MOOSE

A Lindsay, R Stogner, D Gaston, D Schwen… - Nuclear …, 2021 - Taylor & Francis
Efficient solution via Newton's method of nonlinear systems of equations requires an
accurate representation of the Jacobian, corresponding to the derivatives of the component …

A mixed interface-capturing/interface-tracking formulation for thermal multi-phase flows with emphasis on metal additive manufacturing processes

Q Zhu, J Yan - Computer Methods in Applied Mechanics and …, 2021 - Elsevier
High fidelity thermal multi-phase flow simulations are in much demand to reveal the multi-
scale and multi-physics phenomena in metal additive manufacturing (AM) processes, yet …

Simulation and dimensional analysis of instrumented dynamic spherical indentation of ductile metals

JD Clayton, JT Lloyd, DT Casem - International Journal of Mechanical …, 2023 - Elsevier
Finite element (FE) modeling of instrumented dynamic indentation experiments in a
miniature Kolsky bar is undertaken. Geometry, including an output bar with machined …