The lead-bismuth eutectic corrosion rate prediction and composition optimization of ferritic/martensitic steels by physics-guided neural network DOI
Shaowu Feng, Xingyue Sun, Gang Chen

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 141, P. 109807 - 109807

Published: Dec. 7, 2024

Language: Английский

Causality enforcing parametric heat transfer solvers for evolving geometries in advanced manufacturing DOI
Akshay J. Thomas, Ilias Bilionis, Eduardo Barocio

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 437, P. 117764 - 117764

Published: Jan. 22, 2025

Language: Английский

Citations

0
Hybrid physical model and status data-driven approach for quality-reliable digital light processing 3D printing DOI Creative Commons
Lidong Zhao,

X Zhang,

Zhi Zhao

et al.

Virtual and Physical Prototyping, Journal Year: 2025, Volume and Issue: 20(1)

Published: Feb. 6, 2025

Language: Английский

Citations

0
A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing DOI Creative Commons
Meysam Faegh, Suyog Ghungrad,

João Pedro Oliveira

et al.

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 133, P. 524 - 555

Published: Nov. 30, 2024

Language: Английский

Citations

2
Development and Validation of a One‐Dimensional Finite Difference Simulation Scheme for Polymer Laser Powder Bed Fusion with Application to the Effect of the Inter Layer Time DOI Creative Commons
Claas Bierwisch, Bastien Dietemann, Moritz Grünewald

et al.

Advanced Engineering Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 16, 2024

The division of the polymer laser powder bed fusion process polymers (PBF‐LB/P) into temporal regimes originating from motion, thermal diffusion, viscous flow, crystallization kinetics, and application is exploited by considering only building direction. reduction dimensionality enables fast simulations which are used to investigate influence inter layer time on final part density. Numerical simulation results validated experiments using polyamide 12 (PA 12) with good agreement in terms It shown that an 90 s leads nearly dense PA parts while a 45 less parts. cooling effect applied identified as cause for insufficient densification previous layer. tool quantitatively against experimental surface temperature function scan speed hatch distance, melt pool depth 6 polyetherketoneketone power. presented method rapid parameter adjustment new materials PBF‐LB/P process.

Language: Английский

Citations

0
On the calibration of thermo-microstructural simulation models for Laser Powder Bed Fusion process: Integrating physics-informed neural networks with cellular automata DOI Creative Commons
Jian Tang,

Pooriya Scheel,

Mohammad Sadegh Mohebbi

et al.

Additive manufacturing, Journal Year: 2024, Volume and Issue: unknown, P. 104574 - 104574

Published: Nov. 1, 2024

Language: Английский

Citations

0
The lead-bismuth eutectic corrosion rate prediction and composition optimization of ferritic/martensitic steels by physics-guided neural network DOI
Shaowu Feng, Xingyue Sun, Gang Chen

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 141, P. 109807 - 109807

Published: Dec. 7, 2024

Language: Английский

Citations

0