Particle separation by Stokes number for small neutrally buoyant spheres in a fluid

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1103/PhysRevE.78.036308

It is a commonly observed phenomenon that spherical particles with inertia in an incompressible fluid do not behave as ideal tracers. Due to the inertia of the particle, the dynamics are described in a four dimensional phase space and thus can differ considerably from the ideal tracer dynamics. Using finite time Lyapunov exponents we compute the sensitivity of the final position of a particle with respect to its initial velocity, relative to the fluid and thus partition the relative velocity subspace at each point in configuration space. The computations are done at every point in the relative velocity subspace, thus giving a sensitivity field. The Stokes number being a measure of the independence of the particle from the underlying fluid flow, acts as a parameter in determining the variation in these partitions. We demonstrate how this partition framework can be used to segregate particles by Stokes number in a fluid. The fluid model used for demonstration is a two dimensional cellular flow.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Particle separation by Stokes number for small neutrally buoyant spheres in a fluid does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Particle separation by Stokes number for small neutrally buoyant spheres in a fluid, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Particle separation by Stokes number for small neutrally buoyant spheres in a fluid will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-183075

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.