Steelmaking industries are facing increasing pressure to transform their high – CO₂ – output processes into greener alternatives. Not an easy task considering that they also need to maintain current production capacity. A key tool for facilitating the research and development of this greener steel industry is process modelling. It ensures the feasibility of new technologies.

The quality of the material physical properties used in process modelling is fundamental to creating reliability. If the input electrical conductivity or viscosity values are incorrect, the model’s furnace power consumption or slag tappability estimations will be inaccurate. This will have major consequences for furnace design and operation.

Physical property models are not readily available and those that do exist in published literature, are tedious to access. To bridge this gap, we have designed an open-source tool to improve the reliability of process models used in pyrometallurgy.

auxi-mpp is a Python package for estimating material physical properties from temperature, pressure, and composition inputs. Its purpose is to unlock maximum value for steelmaking industries by refining their existing process modelling capabilities with accurate and accessible material descriptions. This software package is open-source and we will continue to develop it. We welcome community collaboration to allow user feedback to be quickly implemented.

Are you ready to add value to the pyrometallurgical industry?
auxi-mpp is available on GitLab