2D flame temperature and soot concentration reconstruction from partial discrete data via machine learning: A case study
Flame reconstruction provides a valuable tool for understanding the thermodynamic properties of combustion. Based on the interrelation between different flame locations, this study proposed a new machine learning-based approach to reconstruct the overall 2D temperature and soot concentration from pa...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-05-01
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Series: | Case Studies in Thermal Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25002655 |