Quantitative characterisation of iron ore pellets with optical microscopy and machine learning

Purpose and goal The goal was to evaluate the potential of a system of quantitative characterization of iron ore pellets based on automated microscopy, image analysis and machine learning. The system, after training…

New digital 3D model of the Grate Kiln pellets process for reduced energy consumption and emissions

Purpose and goal The main aim is to develop a new digital 3D model that can be used to control and optimise the flow in rotary kilns for reduced energy consumption and environmental…

NoStick – Reduced sticking during reduction of iron ore pellets by optimising surface coatings

Purpose and goal The aim and goal of the project was to build knowledge on the most important mechanisms in the coating process and develop novel coatings for iron ore pellets. An efficient…