Author

Zhen Kong

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Preprint Oct 2026

Temperature-Dependent Multiphysics Modeling of Additive Friction Stir Deposition Using Multi-Task Coupled Physics-Informed Neural Networks

Additive friction stir deposition (AFSD) involves coupled thermal and material-flow fields governed by frictional heating, plastic deformation, and tool-imposed boundary conditions. High-fidelity finite-volume methods (FVMs) can resolve these fields but are computationally expensive, while constant-property approximati...

Dhrubajyoti Gupta, Nikhil Gotawala, Raghav Gnanasambandam et al. · 0 citations

Conference

Coupled Physics Informed Neural Network (coPINN) as Standalone Multi-Physics Solver for Additive Friction Stir Deposition

Additive Friction Stir Deposition (AFSD) is a metal additive manufacturing process gaining increased attention due to its solid-state processing nature and the desirable properties it produces. Due to the multi-physics nature of the process, with complex coupled partial differential equations, computational modeling en...

Chao-Ran Dou, Zhen Kong · IISE Annual Conference &... · 0 citations