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...

Full description

Bibliographic Details
Main Authors: Mingfei Chen, Renhao Zheng, Xuan Zhao, Dong Liu
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25002655