Skip to content. | Skip to navigation

  • 日本語
  • English
Sections
You are here: Home en Graduate School of Science MOFs, microfluidics and micro-organisms: A crash course in complex variable techniques for Stokes flow modelling

13 - MOFs, microfluidics and micro-organisms: A crash course in complex variable techniques for Stokes flow modelling, 2015

Course Image

SGU Special Lecture (Mathematical Fluid Dynamics)

MOFs, microfluidics and micro-organisms: A crash course in complex variable techniques for Stokes flow modelling

Darren Crowdy
Kyoto University / Distinguished Visiting Professor
Imperial College London / Professor

Oct. 13, 16, 20 and 23, 2015
Room 127, Graduate School of Science Bldg No 3

Lecture Video

Course Description

This lecture course will introduce how to use the mathematics of complex analysis to study a variety of technologically important problems of slow viscous flows ("Stokes flows"). Such complex variable techniques are rarely used in the study of low-Reynolds-number hydrodynamics even though the methods are versatile and powerful and, moreover, are increasingly relevant in a variety of new technological applications in nano- and micro-fluidics, colloid science and biomechanics.

The lectures will be of interest to students wishing to acquire a novel armoury of skills to tackle real problems in applications, and to those seeking simply to learn new techniques in complex variable methods. As examples, we will show how the techniques can be applied to: • the fabrication of microstructured optical fibres ("MOFs") • superhydrophobic surfaces • the locomotion of microorganisms and low-Reynolds-number swimmers.

Principal topics: Stokes equations; reversibility and the "scallop theorem"; fundamental singularities of Stokes flows (stokeslets, stresslets, rotlets); the Lorentz reciprocal theorem; Goursat representation of biharmonic fields in terms of analytic functions; conformal mapping; free boundary problems; mixed boundary value problems; transform techniques; boundary integral methods.