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
204: A two-step simulation methodology for modelling stagnation flame synthesised aggregate nanoparticles
ref: Technical Report 204, c4e-Preprint Series, Cambridge, 2018 by Casper Lindberg, Manoel Y. Manuputty, Jethro Akroyd, and Markus Kraft
201: Size spectra and source apportionment of fine particulates in tropical urban environment during southwest monsoon season
ref: Technical Report 201, c4e-Preprint Series, Cambridge, 2018 by Yichen Zong, Maria Botero, Liya E. Yu, and Markus Kraft
198: Bivariate extension of the moment projection method for the particle population balance dynamics
ref: Technical Report 198, c4e-Preprint Series, Cambridge, 2018 by Shaohua Wu, Casper Lindberg, Jethro Akroyd, Wenming Yang, and Markus Kraft
Recent Associated Publications
A high-dimensional, stochastic model for twin-screw granulation - Part 1: Model description,
Andrew D McGuire, Sebastian Mosbach, Kok Foong Lee, Gavin Reynolds, and Markus Kraft, Chemical Engineering Science 188, 221-237, (2018)
A high-dimensional, stochastic model for twin-screw granulation - Part 2: Numerical methodology,
Andrew D McGuire, Sebastian Mosbach, Kok Foong Lee, Gavin Reynolds, and Markus Kraft, Chemical Engineering Science 188, 18-33, (2018)
Sooting characteristics of polyoxymethylene dimethyl ether blends with diesel in a diffusion flame,
Yong Ren Tan, Maria Botero, Yuan Sheng, Jochen Dreyer, Rong Xu, Wenming Yang, and Markus Kraft, Fuel 224, 499-506, (2018)
Recent Associated Presentations
Funding has generously been provided by EPSRC, P&G and AstraZeneca.