@inbook{bdb51c548f4349c488fe48bd5772f569,
title = "Discrete Element Simulation and Economics of Mechanochemical Grinding of Plastic Waste at an Industrial Scale",
abstract = "Efficient and sustainable chemical recycling pathways for plastics are vital for addressing the negative environmental impacts associated with their end-of-life management. Mechanochemical depolymerization in ball mill reactors is a new promising route to achieve solid-state conversion of polymers to monomers, without the need for additional solvents. Physics-based models that accurately describe the reactor system are necessary for process design, scaling up, and reducing energy consumption. Motivated by this, a Discrete Element Method (DEM) model is developed to investigate the ball milling process at laboratory and industrial scales. The lab-scale model is calibrated and validated with data extracted from videos using computer vision tools. Finally, scaled-up ball mill designs capable of depolymerizing varying feeds of PET waste were simulated, and their capital and operating costs are estimated to assess the economic potential of this route.",
keywords = "ball milling, discrete-element-method, plastic recycling, technoeconomics",
author = "Elisavet Anglou and Yuchen Chang and Arvind Ganesan and Sankar Nair and Carsten Sievers and Fani Boukouvala",
note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2023",
month = jan,
doi = "10.1016/B978-0-443-15274-0.50382-6",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "2405--2410",
booktitle = "Computer Aided Chemical Engineering",
}