A major area of research within the Computational Modelling Group is into modelling particulate processes. Such process are of immense importance across a wide range of industries, from food and pharmaceuticals to detergents and catalysts.
The interests in the group can be split into two broad classes: modelling industrial particle processes; and developing new computational techniques for representing associated phenomena. In the first catagory, there are active collaborations with various companies, developing models for such systems as spray-drying towers for washing powder manufacture and granulation units for production of laundry tablets. There is even research into the perfect crumble topping! In the development of new computational techniques, members of this theme work closely with those in the CoMo Group's Nanoparticles Theme, investigating ways of solving the population balance models which can be used to descibe many of the particle processes of interest.
Recent Associated Preprints
194: Sooting characteristics of polyoxymethylene dimethyl ether blends with diesel in a diffusion flame
ref: Technical Report 194, c4e-Preprint Series, Cambridge, 2017 by Yong Ren Tan, Maria Botero, Yuan Sheng, Jochen Dreyer, Rong Xu, Wenming Yang, and Markus Kraft
192: A high-dimensional, stochastic model for twin-screw granulation. Part 2: Numerical methodology
ref: Technical Report 192, c4e-Preprint Series, Cambridge, 2017 by Andrew D McGuire, Sebastian Mosbach, Kok Foong Lee, Gavin Reynolds, and Markus Kraft
191: A high-dimensional, stochastic model for twin-screw granulation. Part 1: Model description
ref: Technical Report 191, c4e-Preprint Series, Cambridge, 2017 by Andrew D McGuire, Sebastian Mosbach, Kok Foong Lee, Gavin Reynolds, and Markus Kraft
Recent Associated Publications
A new iterative scheme for solving the discrete Smoluchowski equation,
Alastair J. Smith, Clive G. Wells, and Markus Kraft, Journal of Computational Physics 352, 373-387, (2018)
Compartmental residence time estimation in batch granulators using a colourimetric image analysis algorithm and Discrete Element Modelling,
Andrew D McGuire, Kok Foong Lee, Maksym Dosta, Sebastian Mosbach, Jan-Georg Rosenboom, Stefan Heinrich, and Markus Kraft, Advanced Powder Technology 28, (9), 2239-2255, (2017)
Developing breakage models relating morphological data to the milling behaviour of flame synthesised titania particles,
Casper Lindberg, Jethro Akroyd, and Markus Kraft, Chemical Engineering Science 166, 53-65, (2017)
Recent Associated Presentations
Funding has generously been provided by EPSRC, P&G and AstraZeneca.