Welcome from the Computational Modelling Group
Welcome to the website of the CoMo Group. We develop and apply modern numerical methods to problems arising in Chemical Engineering. The overall aim is to shorten the development period from research bench to the industrial production stage by providing insight into the underlying physics and supporting the scale-up of processes to industrial level.
The group currently consists of 23 members from various backgrounds. We are keen to collaborate with people from both within industry and academia, so please get in touch if you think you have common interests.
The group's research divides naturally into two inter-related branches. The first of these is research into mathematical methods, which consists of the development of stochastic particle methods, computational fluid dynamics and quantum chemistry. The other branch consists of research into applications, using the methods we have developed in addition to well established techniques. The main application areas are reactive flow, combustion, engine modelling, extraction, nano particle synthesis and dynamics. This research is sponsored on various levels by the UK, EU, and industry.
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UK/EU Studentship in Computational Chemical Engineering
A fully-funded 3.5 year PhD studentship is available in the Computational Modelling Group, Department of Chemical Engineering and Biotechnology, at the University of Cambridge under the supervision of Prof. Markus Kraft. The studentship starts in October 2015, and due to funding regulations, the studentship/project is only available to citizens of the European Union.
We are looking for an outstanding student who is interested in working with us to develop and apply state-of-the-art computational tools to model the combustion characteristics and engine performance of naturally aspirated and turbocharged gasoline fuelled internal combustion engines. The project will investigate phenomena including the chemical reactions occurring in the cylinder, the influence of the geometry of the combustion chamber and intake design on the engine performance.
The Computational Modelling Group has considerable expertise and a proven track record of success in these areas, and the successful applicant will benefit from the support of an experienced supervisor and research team.
To apply for this position, please use the following link:
2nd prize at the 12th UK Particle Technology Forum
Kok Foong Lee won the second prize of the Young Researcher Award for his presentation 'A multi-compartment population balance model for wet granulation' on 17 September 2014. A total of 40 abstracts were submitted and 6 of them were selected for the Young Researcher Award. Contestants for the Young Researcher Award were required to give a 20-minute oral presentation and the prize winners were judged based on the presentations. Kok Foong's current research interests are in the application of population balance model for wet granulation and the development of stochastic particle methods.