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CFD Jobs Database - Job Record #11803

Job Record #11803
TitleComputational fluid dynamics study of granular flows
CategoryPhD Studentship
EmployerKU Leuven
LocationBelgium, Leuven
InternationalYes, international applications are welcome
Closure DateTuesday, July 01, 2014
Description:
Despite the many advantages of microchemical systems, their increased
surface-to-volume ratio leads to difficulties in the handling of solid laden
flows. This is especially problematic when solid particles are formed as a
by-product of a chemical reaction. In these cases, the amount of solid
by-product gradually increases along the axial extent of the microreactor,
eventually leading to clogging of the microreactor channels. Specifically,
bridging and constriction have been identified in earlier studies as candidate
mechanisms for clogging. Being able to manage solid-laden flows in a continuous
matter is an important step in the batch to continuous transition.
In this project we will model flow systems containing fluids and particles in
micro-scale geometries using a coupled discrete element method (DEM) /
computational fluid dynamics (CFD) approach. In this method, the DEM part is
used to solve the equation of motion for each particle, and the continuous fluid
is described by solving the Navier-Stokes equations using CFD tools.
Specifically, this project focuses on the implementation of particle-wall and
particle-particle interactions for the prediction of particle deposition on the
wall (constriction) and particle agglomeration in the bulk of the fluid
(bridging), and thus to predict microchannel clogging. The numerical work will
be done using the open-source code OpenFOAM, which allows the implementation of
new solvers and models, and thus represents a solid framework for code development. 

The obtained results will allow for the fundamental description and
quantification of bridging and constriction events in solid-laden flows in
microchannels and will provide guidelines for clogging prevention and design of
flow reactors. One major outcome will be to relate the channel and particle
surface properties to the clogging risk and operation time of micro-scale devices.

The successful candidate will be offered a PhD fellowship to become part of our
international team with global research links to work towards a PhD. Funding can
be provided for a period of 4 years.

For more information please contact Prof. dr. Simon Kuhn via mail:
simon.kuhn@ucl.ac.uk

Contact Information:
Please mention the CFD Jobs Database, record #11803 when responding to this ad.
NameSimon Kuhn
Emailsimon.kuhn@ucl.ac.uk
Email ApplicationYes
Record Data:
Last Modified06:55:09, Thursday, April 24, 2014

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