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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Electric sampling of soot particles in spreading non-premixed flames: methodology and influence of gravity
by: Li, Yutao, et al.
Published: (2023-05-01) -
Predictions of soot formation in burner-stabilized stagnation flames using various reaction mechanisms
by: Shion ANDO, et al.
Published: (2024-07-01) -
Soot Mass Concentration Prediction at the GPF Inlet of GDI Engine Based on Machine Learning Methods
by: Zhiyuan Hu, et al.
Published: (2025-07-01) -
Study on the microcomputer system for measuring the soot emission of tractor
by: QIU Zheng-jun, et al.
Published: (2002-03-01) -
Potential of CoMn2O4 spinel as soot oxidation catalyst and its kinetics thereof
by: R. Nithya, et al.
Published: (2025-01-01)