2-11　Classification of Particle Shapes of Fly Ash Particles Using Deep Learning

Abstract

In order to predict the trajectory of ash particles as they impact the heat transfer tubes due to inertial impact, information on particle size, density, and particle shape of ash particles is necessary. In this study, we investigated a method for shape classification of ash particles using deep learning from SEM images of fly ash particles. As a result, we succeeded in classifying ash particles ranging in size from 1 to 200 μm into eight shapes and obtaining an integrated particle size distribution for each shape.