Towards low-cost soot pyrometry in laminar flames using broadband emission measurements and Artificial Neural Networks

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 captured with a color camera. Using a framework to generate numerical simul