1st Edition

Modelling and Optimisation of Fluid–Particle Processes in Environmental Engineering

Edited By Benjamin Oyegbile Copyright 2026
196 Pages 123 Color & 18 B/W Illustrations
by CRC Press

196 Pages 123 Color & 18 B/W Illustrations
by CRC Press

This comprehensive book explores fluid–particle interaction processes in environmental engineering, combining theoretical foundations with advanced numerical simulation techniques. Covering eight key areas from particle agglomeration to membrane fouling, the work integrates fundamental physics with practical computational tools to address critical challenges in environmental systems and reactor... Read more

1. The role of hydrodynamics and interparticle forces in the agglomeration of fine particles

Benjamin Oyegbile


2. The role of fluid dynamics and fluidparticle interaction on fouling in membrane-based separation systems

Suzanne Yala


3. Micro processes at solidliquid interface in fluidparticle systems

Benjamin Oyegbile


4. Numerical modelling and physicochemical characterisation of fluidparticle systems

Benjamin Oyegbile


5. Numerical simulation and design optimisation of hydrodynamics and mixing process in a stirred tank reactor (STR)

Benjamin Oyegbile


6. Numerical modelling of the hydrodynamics and fluidparticle interactions in a Rotatory Vortex Pelleting (RVP) reactor

Benjamin Oyegbile


7. Numerical simulation of convective mixing and heat transfer in a pilot-scale hydrothermal carbonisation (HTC) reactor

Benjamin Oyegbile


8. Mathematical modelling of the effects compression of fouling layers as a predictive tool in membrane bioreactor systems

Suzanne Yala

Biography

Benjamin Oyegbile holds a PhD in Environmental Engineering and is currently a visiting researcher at the University of Bradford. He has over six years of university-level teaching experience and a focused research agenda in fluid–particle modelling and environmental fluid dynamics. His research work is focused on the integration of experimental analysis and high-fidelity numerical simulations with advanced machine learning techniques to investigate and optimise complex fluid–particle processes in environmental engineering.