Access source code here. (GitHub)

The purpose of this example is to model a very basic concept of an LD converter. It is assumed that a hot iron rich metal liquid phase has oxygen blown into it. Controlling the amount of added oxygen is crucial to the process control in a real LD process, which is used to reduce the carbon content of the liquid phase.

A series of calculations is done for variable amounts of added gaseous oxygen, to calculate the enthalpy difference (which is a measure for the exothermic intensity of the process), and how the amount of carbon in the liquid phase changes with added oxygen.

Finally, a brief analysis step is added to determine the critical amount of oxygen to add so that less than 0.1wt% of carbon remains in the liquid for a set of varied compositions, to simulate the varying compositions typically used in steel metallurgy process modelling.

Please be aware that all numbers and values are purely of educational value and do not reflect any actual process. For simplification purposes, to keep the webinar concise, quite a few necessary metallurgical or thermophysical considerations have been left purposefully undiscussed, to focus on the functionality of ChemApp within the Python ecosystem.