H2PlasmaRed published the 5th peer-reviewed publication: Optimization Based Experimental Design of Metal-Slag Experiments in Hydrogen Plasma Smelting Reduction Process
We’re pleased to share H2PlasmaRed Horizon Europe’s 5th peer reviewed article publication by T Vuolio, Michael Andreas Zarl, I Lappeteläinen, Areej Javed and Ville-Valtteri Visuri in the Journal of Physics: Optimization Based Experimental Design of Metal–Slag Experiments in Hydrogen Plasma Smelting Reduction Process.
The full article is available here: https://iopscience.iop.org/article/10.1088/1742-6596/3050/1/012009
This study presents an optimization based experimental design scheme for design of metal–slag experiments in hydrogen plasma smelting reduction. The approach combines computational thermodynamics and machine learning techniques by making use of machine learning –based surrogate–modelling. The objective function for the optimization is formulated as a maximization problem, in which the conversion rate or reduction degree of iron oxide and the phosphorus partition ratio are treated as the main objectives. The objective function is maximized with respect to slag composition in a CaO–SiO2–FeO–Al2O3–MgO system. Additional constraints are introduced for maximum effective viscosity and slag/metal mass ratio to obtain results that are relevant for industrial operation.