Spectral soot emission (SSE) in the visible spectrum is a popular technique for non-intrusive
thermometry in sooting flames. However, its accuracy is restricted by uncertainties in the …

Counterflow diffusion flame is an attractive platform for fundamental research on kinetics of
soot formation. Accurate determination of soot volume fraction in the flame is a prerequisite …

An acoustically forced axisymmetric laminar non-premixed flame is experimentally studied to
evaluate soot volume fraction, temperature and radiation throughout the phases of its …

A hybrid constraint spectral thermometry (HCST) method based on combined light extinction
and spectral soot emission was developed for temperature measurements in sooting flames …

Studying the interplay between heat transfer mechanisms in a burning wildland fuel layer
enables to better understand wildfire behavior. This works aims to assess the effect of air …

This paper presents a low-cost approach based on Artificial Neural Networks (ANNs) for
retrieving fields of soot temperature in laminar flames from broadband soot emission signals …

The constant spectral emissivity decoupling method within current wide-spectrum
thermometry theories stands as a primary factor contributing to accuracy degradation. This …

Neural networks are the most promising tool to solve the problem that an assumed
emissivity model is needed in the field of multispectral radiometric temperature …

Fire spread inside a spacecraft is a constant concern in space travel. Understanding how the
fire grows and spreads, and how it can potentially be extinguished is critical for planning …

Counterflow diffusion flame is a favorable platform for fundamental investigation of soot
kinetics. A diffuse back-illumination imaging technique for measuring soot volume fractions …