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Driven by environmental constraints, the traditional steel manufacturing process based on blast furnace (BF) and basic oxygen furnace (BOF) is expected to be increasingly replaced by the electric arc furnace (EAF) route, in which the scrap metal is heated by means of an electric arc. However, the EAF process is not yet fully mature and improvements in efficiency and productivity are still required. A major lever in this respect is the optimization of the combined oxygen – fuel blowing lance. The main role of this lance is to blow oxygen at supersonic speed onto the melt to stir and decarbonate it. The lance is also typically combined with fuel-oxygen burners to provide additional, more uniform, heating of the molten metal. As such, the process is characterized by a very complex physics, involving supersonic flows, different phases, chemical reactions, heat transfer, etc.
The objective of this PhD project is to optimize the lance through numerical simulations of oxygen blowing in EAF steel manufacturing. The successful candidate will have to:
The work will be done in close collaboration with the other project partners.
We are seeking highly motivated candidates holding a master’s degree in engineering or physics, with a strong background in fluid dynamics, computational physics, or related subject areas, and a keen interest in simulations of multiphysics problems. Experience with CFD and the open-source software OpenFOAM is advantageous. We encourage a high degree of responsibility and independence, but also a willingness to collaborate. Excellent communication skills and proficiency in spoken and written English are highly valued.