[HTML][HTML] Machine learning for combustion

L Zhou, Y Song, W Ji, H Wei - Energy and AI, 2022 - Elsevier
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

Emission quantification via passive infrared optical gas imaging: A review

R Kang, P Liatsis, DC Kyritsis - Energies, 2022 - mdpi.com
Passive infrared optical gas imaging (IOGI) is sensitive to toxic or greenhouse gases of
interest, offers non-invasive remote sensing, and provides the capability for spatially …

Simultaneously retrieving of soot temperature and volume fraction in participating media and laminar diffusion flame using multi-spectral light field imaging

T Li, C Zhang, D Liu - International Journal of Thermal Sciences, 2023 - Elsevier
The inner distribution of the flame properties can be retrieved by solving the intractably ill-
posed inverse problem from spectral radiation imaging. This study presents a simultaneous …

Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment

T Yoon, SW Kim, H Byun, Y Kim, CD Carter, H Do - Combustion and Flame, 2023 - Elsevier
A deep learning strategy is developed for fast and accurate gas property measurements
using flame emission spectroscopy (FES). Particularly, the short-gated fast FES is essential …

U-Net applied to retrieve two-dimensional temperature and CO2 concentration fields of laminar diffusion flames

H Li, T Ren, X Liu, C Zhao - Fuel, 2022 - Elsevier
Direct absorption spectroscopy measurement of the 4. 3 μ m CO 2 using interband cascade
laser with a high spectral resolution, provides theoretical feasibility to retrieve the spatial …

Sooting propensity and maturity of gasoline/anisole blends in a laminar coflow diffusion flame

JJ Cruz, F Escudero, I Verdugo, P Rivera… - Fuel, 2023 - Elsevier
Liquid oxygenated biofuels such as anisole have been used as additives, since they
increase the octane number and improve spark-ignition engines' performance. In this study …

Determining spatially-resolved thermal radiation from non-intrusive measurements of soot properties

F Escudero, R Demarco, JJ Cruz, I Verdugo… - Applied Thermal …, 2022 - Elsevier
A procedure is presented that uses estimations of soot volume fraction and temperature
fields to (i) calculate the spatially-resolved radiative intensity emitted from soot, and (ii) …

Spline-based Abel Transform (SAT) radial property reconstruction for noise and trapping correction: Application to axisymmetric sooting flames

M Littin, A Poux, G Lefevre, M Mazur, F Escudero… - Fuel, 2024 - Elsevier
In combustion research, optical diagnostics often necessitate Abel inversion to deconvolve
the measurements of axisymmetric flames, especially to determine local soot temperature …

BPNN model based AI for the estimation of soot data from flame luminosity emissions in H2/N2 diluted ethylene laminar diffusion flames

J Liu, M Kashif, Q Wang, T Li, H Liu, M Yao - Experimental Thermal and …, 2024 - Elsevier
Advanced combustion devices and alternative fuels like hydrogen require an estimation of
the impact of such changes on engine exhaust emissions of regulated pollutants like soot …

Study on soot emission characteristics of methane/oxygen inverse diffusion flame

R Wu, F Xie, J Wei, X Song, H Yang, P Lv, G Yu - ACS omega, 2021 - ACS Publications
Inverse diffusion flame (IDF) is an effective and widely used reaction form in the process of
noncatalytic partial oxidation (NC-POX) of gaseous hydrocarbons (such as natural gas and …