[HTML][HTML] Machine learning for combustion
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …
chemical phenomena in time and length scales, including complex chemical reactions and …
Emission quantification via passive infrared optical gas imaging: A review
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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) …
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
In combustion research, optical diagnostics often necessitate Abel inversion to deconvolve
the measurements of axisymmetric flames, especially to determine local soot temperature …
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
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 …
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 …
noncatalytic partial oxidation (NC-POX) of gaseous hydrocarbons (such as natural gas and …