1. ABOUT THE DATASET -------------------- Title: Bubble population growth and gas release from packed beds of AW500 ion exchange pellets - Dataset Creator(s): Luke Driver, Ahmad Mohamadiyeh, Kasia Nowakowska, Cristina Teleanu, Gamuchirai Ashley Sibanda, Timothy Hunter Organisation(s): University of Leeds Rights-holder(s):Unless otherwise stated, Copyright 2025 University of Leeds. Publication Year: 2025 Description: Data relating to study exploring the phenomenon of in situ generated gas retention within densely packed cylindrical ion-exchange pellets. Initially, discrete element method (DEM) simulations were used to identify pertinent contact packing parameters, rigorously validated through packing experiments. Calibrated values for dynamic and static friction, and the coefficient of restitution were found in ranges of 0.8–1.0, 0–0.2, and 0–0.2, respectively, with the importance of dynamic friction highlighted. The DEM validation process achieved a packing fraction that exhibited < 4 % deviation from experimental data, with some cylinder alignment observed near the column base. Additionally, laboratory-scale gas generation tests were conducted to replicate the retention of hydrogen within densely packed beds, achieved through the decomposition of hydrogen peroxide. X-ray computed tomography was then used to quantify bubble population size and growth within the beds. Cite as: Luke Driver, Ahmad Mohamadiyeh, Kasia Nowakowska, Cristina Teleanu (2025): Bubble population growth and gas release from packed beds of AW500 ion exchange pellets - Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1737 Related publication: Driver et al. Bubble population growth and gas release from packed beds of AW500 ion exchange pellets, Chemical Engineering Science, Volume 320, Part B, 15 January 2026, 122536. Contact: Dr Timothy Hunter, t.n.hunter@leeds.ac.uk 2. TERMS OF USE --------------- Copyright 2025 University of Leeds. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: Group MSc Project Dates: 2022 Funding organisation: EPSRC, UK and Sellafield Ltd. Grant no.: EP/S022732/1; EP/S022295/1 4. CONTENTS ----------- File/Folder listing - file types Figure 1 - .txt file Figure 3 - .zip, .xls Figure 6 - .zip, .xls Figure 7 - .xls Figure 8 - .xls Figure 9 - .xls Figure 10 - .xls Figure 11 - .zip Figure 12 - .xls 5. METHODS ---------- Please see corresponding paper for detail of methods. Data includes DEM simulations, experimental laboratory measurements of gas generation and release, as well as advanced x-ray computational tomography (CT) data.