On the calibration of thermo-microstructural simulation models for Laser Powder Bed Fusion process: Integrating physics-informed neural networks with cellular …
Computational thermo-microstructural modelling has become a powerful tool for
understanding the process-microstructure linkage in the Laser Powder Bed Fusion (PBF-LB) …
understanding the process-microstructure linkage in the Laser Powder Bed Fusion (PBF-LB) …
[HTML][HTML] Physics-informed online learning for temperature prediction in metal AM
In metal additive manufacturing (AM), precise temperature field prediction is crucial for
process monitoring, automation, control, and optimization. Traditional methods, primarily …
process monitoring, automation, control, and optimization. Traditional methods, primarily …
[PDF][PDF] Advanced Machine Learning Techniques for Accurate Temperature Prediction
M Brown, R Johnson, S Lee, J Taylor, A Kim, E Chen - researchgate.net
Abstract Machine learning has emerged as a powerful tool in various predictive tasks, and
our research focuses specifically on enhancing the accuracy of temperature prediction. We …
our research focuses specifically on enhancing the accuracy of temperature prediction. We …
[PDF][PDF] Real-Time Temperature Prediction Models for Smart Agricultural Systems
D Ivanov, A Petrov, J Wang, S Volkov, D Zhao, J Smith - researchgate.net
The agricultural sector faces significant challenges related to environmental factors,
particularly temperature variations that impact crop growth and yield. Knowing this, our …
particularly temperature variations that impact crop growth and yield. Knowing this, our …