Data and codes for DEM modelling and calibration of multi-component segregation

This dataset contains the data and codes underlying the PhD thesis of Ahmed Hadi (TU Delft), which focuses on Discrete Element Method (DEM) modelling and calibration of multi-component segregation in blast furnace charging systems. It includes reference DEM simulation decks (Altair EDEM), statistical analysis files from Definitive Screening Design (JMP Pro), input–output datasets for machine learning, Matlab codes for surrogate modelling and optimisation, and calibration reference decks. The dataset is organised by thesis chapter and linked to published journal articles. It enables researchers to reproduce the simulations, apply the machine learning models, and extend calibration studies of granular segregation in industrial-scale systems.