Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks
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 …
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …
A transient global-local generalized FEM for parabolic and hyperbolic PDEs with multi-space/time scales
This paper presents a novel Generalized Finite Element Method with global-local
enrichment (GFEM gl) to solve time-dependent parabolic and hyperbolic problems with …
enrichment (GFEM gl) to solve time-dependent parabolic and hyperbolic problems with …
Onset of wake meandering for a floating offshore wind turbine under side-to-side motion
Wind turbine wakes, being convectively unstable, may behave as an amplifier of upstream
perturbations and make downstream turbines experience strong inflow fluctuations. In this …
perturbations and make downstream turbines experience strong inflow fluctuations. In this …
An adaptive global–local generalized FEM for multiscale advection–diffusion problems
This paper develops an adaptive algorithm for the Generalized Finite Element Method with
global–local enrichment (GFEM gl) for transient multiscale PDEs. The adaptive algorithm …
global–local enrichment (GFEM gl) for transient multiscale PDEs. The adaptive algorithm …
A mixed interface-capturing/interface-tracking formulation for thermal multi-phase flows with emphasis on metal additive manufacturing processes
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 …
scale and multi-physics phenomena in metal additive manufacturing (AM) processes, yet …
A thermal multi-phase flow model for directed energy deposition processes via a moving signed distance function
Thermal multi-phase flow analysis has been proven to be an indispensable tool in metal
additive manufacturing (AM) modeling, yet accurate and efficient simulations of metal AM …
additive manufacturing (AM) modeling, yet accurate and efficient simulations of metal AM …
A variational multiscale method for natural convection of nanofluids
The notion of enhanced thermal convection via particle laden fluids has been around for a
long time. Technological challenges associated with the development of micro to nano …
long time. Technological challenges associated with the development of micro to nano …
Variational multi-scale modeling of interfacial flows with a balanced-force surface tension model
In this paper, we present a level-set based formulation to simulate interfacial flows on
unstructured meshes. The residual-based variational multiscale formulation (VMS) is …
unstructured meshes. The residual-based variational multiscale formulation (VMS) is …
A hybrid dynamic Smagorinsky model for large eddy simulation
Q Shui, C Duan, X Wu, Y Zhang, X Luo, C Hong… - International Journal of …, 2020 - Elsevier
A hybrid dynamic subgrid-scale model (HDSM) pertaining to Large-eddy simulation (LES)
has been developed. The coefficient obtained by German dynamic Smagorinsky model …
has been developed. The coefficient obtained by German dynamic Smagorinsky model …
Variationally derived interface stabilization for discrete multiphase flows and relation with the ghost-penalty method
L Zhu, A Masud - Computer Methods in Applied Mechanics and …, 2021 - Elsevier
This paper presents an interface stabilized method for moving and deforming interface
problems in immiscible, discrete, multi-phase flows. The evolution of the interface is …
problems in immiscible, discrete, multi-phase flows. The evolution of the interface is …