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Hybrid thermal modeling of additive manufacturing processes using
  physics-informed neural networks for temperature prediction and parameter
  identification

Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification

15 June 2022
Shuheng Liao
Tianju Xue
Jihoon Jeong
Samantha Webster
K. Ehmann
Jian Cao
    AI4CE
ArXivPDFHTML

Papers citing "Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification"

6 / 6 papers shown
Title
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
D. Patel
R. Sharma
Y.B. Guo
AI4CE
PINN
35
0
0
02 May 2025
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Suk Ki Lee
Hyunwoong Ko
AI4CE
54
0
0
30 Apr 2025
Towards a Digital Twin Framework in Additive Manufacturing: Machine
  Learning and Bayesian Optimization for Time Series Process Optimization
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
V. Karkaria
Anthony Goeckner
Rujing Zha
Jie Chen
Jianjing Zhang
Qi Zhu
Jian Cao
R. X. Gao
Wei Chen
AI4CE
23
21
0
27 Feb 2024
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
Rahul Sharma
Y.B. Guo
M. Raissi
W. Guo
PINN
AI4CE
45
5
0
23 Jul 2023
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural
  network for solving partial differential equations
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations
Shihong Zhang
Chi Zhang
Bo Wang
AI4CE
24
3
0
06 Sep 2022
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
50
495
0
09 Feb 2021
1