Björn Glaser

Professor of Experimental Kinetics in Metallurgy

His research focuses on understanding and controlling high-temperature metallurgical processes using experiments, modelling, and data-driven methods. It addresses fundamental kinetic phenomena while remaining strongly linked to industrial challenges in steelmaking and related heavy industries.

His work covers high-temperature phase equilibria and kinetics, slag and inclusion behaviour, liquid metal–refractory interactions, and two-phase flow phenomena such as bubble dynamics in gas-stirred systems. A major contribution is the generation of experimentally validated data on thermophysical properties, wettability, heat transfer, and flow behaviour, supporting improved process models and reactor design.

Glaser combines laboratory experiments with numerical modelling, including CFD, and increasingly with digital and machine-learning-based approaches. Current projects focus on indirect process monitoring, sensor-based diagnostics, and data-driven control to improve process stability, energy efficiency, and resource utilisation. His research also addresses circular-economy approaches, including recovery of valuable materials from metallurgical residues and sustainable processing routes for critical raw materials.

The overarching goal is to reduce energy consumption and carbon emissions in high-temperature metal production while strengthening the scientific basis for process design and control. In parallel, he teaches and supervises students in process metallurgy, experimental methods, industrial processes, digitalisation, and materials sustainability.