1-15　石炭燃焼において発生するフライアッシュのディープラーニングによる形状分類ならびに溶融性との関係について

抄録

Part of the ash generated during the combustion process of solid fuels such as pulverized coal can adhere to the surface of heat transfer tubes, causing heat transfer inhibition and impairing boiler operation. In this study, the physical properties of three types of coal were compared to evaluate the shape classification of fly ash. In addition, the accuracy of the shape classification was investigated by using deep learning, including the use of training images, various parameters, and data expansion, as well as the relationship between the shape classification and melting properties based on thermodynamic equilibrium calculation. We utilized deep learning to categorize the morphology of fly ash particles and analyzed the formation process of particles, considering the thermophysical characteristics of coal ash.