Data for Discrete element modelling and experimental validation of brittle particle comminution

This repository contains experimental data used for model parametrisation, as well as the experimental and simulation data used for model validation of the work presented in: Discrete element modelling and experimental validation of brittle particle comminution Authors:Dasun Attanayake, Florian Würpel, Manja Krüger, Berend van Wachem Dataset Structure The PDF file included in the main directory contains the results of an in-house density assessment conducted on the 4ABFK zeolite particles used for both model parameterisation and validation in this study. In addition, the dataset contains four main folders. A detailed description of each folder's contents and their purpose is provided below. breakage-probability:- This folder contains data used for model parameterisation.- The subfolder experimental-results contains data from single-particle uniaxial compression tests.- The data are organized according to the particle size range of each batch.- The data from columns "Elongation" and "Force" in each .csv file is used to calculate the energy absorbed by a particle up to the point of breakage.- These results were used to generate characteristic distributions of initial fracture energy of zeolite particles as a function of particle size.- The Python script visualizedata.py provides a preliminary visualisation of the breakage probability curves for each size range. damage-parameter:- This folder contains data used for model parameterisation.- The subfolder experimental-results contains data from single-particle repeated impact (drop-weight) tests.- For two particle size classes, the .csv files report the number of impacts required per particle to cause its breakage.- These results were used to generate cumulative breakage probability curves as a function of the number of impacts and to derive an appropriate damage coefficient for the zeolite particles.- The Python script visualizedata.py provides a preliminary visualisation of the evolution of breakage probability with the number of impacts for the two particle size classes examined using the drop-weight method. progeny-size:- This folder contains data used for model parameterisation.- The subfolder experimental-results contains data relevant to fragment size distributions resulting from four comminution experiments, each conducted at a different impact energy.- The .csv files report the mass of fragments collected on each sieve size.- These results were used to derive parameters describing breakage index (t_10) and the other t_n values that characterise the fragment size distribution of a fragmentation event.- The Python script visualizedata.py plots the fragment size distributions in terms of t_n values at different tested impact energies. validation:- This folder contains data used for model validation.- The subfolder experimental-results contains data relevant to fragment size distributions obtained from four ball milling experiments of zeolite particles.- The .csv file in this subfolder reports, precisely, the mass of fragments collected on each sieve size in each experimental run.- The subfolder simulation-results contains the .csv file reporting the cumulative particle size distributions obtained from three simulations of the milling process.- The Python script visualizedata.py processes these data and plots particle size distributions from both the experiments and the simulations. Acknowledgements: This work is part of the Research Initiative "SmartProSys: Intelligent Process Systems for the sustainable Production of Chemicals", funded by the Ministry for Science, Energy, Climate Protection and the Environment of the State of Saxony-Anhalt. We gratefully acknowledge this funding.