Development of machine learning models for predicting properties of carbon materials and design of process conditions for production of materials with desired multiple properties

Cokes are an essential material in the iron and steel industry, and widely used as a fuel and for reducing iron ore. The product properties of cokes are influenced by raw materials and process conditions, which in turn affect its performance. Because raw material components vary depending on the origin and production period, product properties can fluctuate even under the same process conditions, and thus, it is necessary to design appropriate process conditions for each raw material. The object