Abstract Controlling and optimizing smelting processes in submerged-arc furnaces are complicated by the limited amount of information available regarding internal conditions. Computer models can help to bridge this knowledge gap. Due process complexity, computer commonly restricted electrical conditions, thermal or chemical reactions, for instance. We have developed an overall model a pilot-sca...