University of Cambridge > Talks.cam > Cambridge SIAM Chapter > Stirring solutions: mixing industrial challenges with Mathematics

Stirring solutions: mixing industrial challenges with Mathematics

Add to your list(s) Download to your calendar using vCal

  • UserColm Caulfield (DAMTP) World_link
  • ClockMonday 27 April 2015, 15:30-16:10
  • HouseMR2, CMS.

If you have a question about this talk, please contact Eoin Devane.

Mixing of fluids of different properties is a common challenge in a wide range of industrial situations. In this talk, I will discuss two case studies, motivated by specific industrial processes, where various mathematical tools have proved useful in determining the `best’ way to achieve `good’ mixing. First, application of a classical mixing length model treating turbulent mixing as a diffusive process is shown to lead to a quantitatively accurate description of buoyancy-driven mixing in a high-aspect ratio duct. Second, variational techniques and ideas from ergodic theory are combined in a new nonlinear `direct-adjoint-looping’ (DAL) method to construct algorithmically initial conditions leading to optimal mixing in a pressure-driven channel flow.

This talk is part of the Cambridge SIAM Chapter series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2022 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity