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SUMMARY:Stirring solutions: mixing industrial challenges with Mathematics 
 - Colm Caulfield (DAMTP)
DTSTART:20150427T143000Z
DTEND:20150427T151000Z
UID:TALK59294@talks.cam.ac.uk
CONTACT:Eoin Devane
DESCRIPTION:Mixing of fluids of different properties is a common challenge
  in a wide range of industrial situations. In this talk\, I will discuss t
 wo case studies\, motivated by specific industrial processes\,  where vari
 ous mathematical tools have proved useful in determining the `best’ way 
 to achieve `good’ mixing. First\, application of a classical mixing leng
 th model treating turbulent mixing as a diffusive process is shown to lead
  to a quantitatively accurate description of buoyancy-driven mixing in a h
 igh-aspect ratio duct. Second\, variational techniques and ideas from ergo
 dic theory are combined in a new  nonlinear `direct-adjoint-looping’ (DA
 L) method to construct algorithmically  initial conditions leading to opti
 mal mixing in a pressure-driven channel flow.
LOCATION:MR2\, CMS
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