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BHR Group has
worked on multiphase flow and three-phase mixing for many years.
Now, together with partners from industry and academia, we have
been successful in winning funding for new research into multiphase
measurement and modelling.
The Project
A
2-year collaborative research project to develop new measurement
techniques and computational fluid dynamics (CFD) modelling methods
for complex flows in highly turbulent, highly gassed flows such
as those found in multiphase, stirred tank chemical reactors..
The Partners
A consortium
of leading UK SME's, a major diversified oil and gas company and
academic partners, led by BHR Group, world leading experts in mixing.
Government
Funding
The consortium has succeeded in winning over £600,000 funding from
the UK Department of Trade And Industry's Technology Programme
For more
information, contact:
Andrew
Green
BHR Group Limited
Cranfield, Bedfordshire MK43 0AJ
Tel: +44 (0)1234 750422
Email: solutions1@bhrgroup.com
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The Work
Programme
Stream One:
Instrumentation
This stream will develop new instrumentation. Industrial Tomography
Systems (ITS) and University of Leeds will work together to develop
a rapid tomography instrument, which can potentially be used to
produce 3-D flow maps in real time. In addition, techniques to determine
bubble behaviour in highly gassed systems will be developed by Leeds
University and BHR Group to aid understanding of these complex phenomena.
Stream Two:
Modelling
In this stream, BHR Group will work with BP to develop CFD modelling
techniques for such complex systems. Whilst CFD of stirred tank
reactors has developed significantly over recent years, substantial
challenges remain, particularly for highly gassed systems. The project
hopes to address many of these challenges and move the state of
the art forward towards creating fully predictive models for highly
turbulent and highly gassed systems.
Stream Three:
Experimental Validation
The project will conclude by bringing together the two streams through
an experimental programme to validate both measurement and modelling
techniques.
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