In this course, we focus on hydrodynamic instabilites.
Many of these instabilities exist in natural settings and can be leveraged in industrial contexts (below some examples).
The theoretical analysis uses concepts from dynamical systems : phase space, phase portrait, attractor/fixed point as well as linear stability analysis. Thanks to these tools, we can identify the conditions for the system to be stable. If unstable, the dispersion relationship gives the wavelentgh with the highest growth rate. A detailed demonstration of the Rayleigh-Bénard instability is given.
The numerical analysis if hydrodynamic instabilities can be done with any fluid solver. Here, we will adapt the LBM code developed in part I so as to model coupled phenomena such as mass, momentum and heat transfers. Then, the growth rate of an infinitesimal perturbation is calculated and helps finding the marginal stability curve. Practically, we can make use of it tu calculate the minimal temperature difference to set in motion a fluid initially at rest.
Examples of instabilities :
Thermo-convective instability of Rayleigh-Bénard : a fluid at rest starts moving when heated from below and with a minimal temperature gradient (see moving water in a pan).
Rayleigh-Plateau instability : a liquid jet will spontaneously fragment into droplets under the action of surface tension and/or shear by surrounding gas phase (cf. fuel injection in combustion chamber)
Kelvin-Helmholtz instability : the interface between two sheared fluids does not stay plane when there is a density difference (by example driven by a temperature difference)
von Karman instability : an obstacle in a flow gives rise to vortices that detach in the wake.
On completion of the unit, the student will be capable of: | Classification level | Priority |
---|---|---|
Basic knowledge in dynamical systems | 1. Knowledge | null |
Perform linear stability analysis for a given system / PDE | 3. Apply | null |
Knowledge of some hydrodynamic instabilities | 1. Knowledge | null |
Use a CFD code to compute the dispersion relationship and the marginal stability curve | null | null |
Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
---|---|---|---|---|---|
Written exam: | 100 | % | Project submission: | 100 | % |
Individual oral exam: | 100 | % | Group presentation: | 100 | % |
Individual presentation: | 100 | % | Group practical exercise: | 100 | % |
Individual practical exercise: | 100 | % | Group report: | 100 | % |
Individual report: | 100 | % | |||
Other(s): 100 % |
Type of teaching activity | Content, sequencing and organisation |
---|---|
Lecture | The part devoted to dynamic systems (~10 hours) is a classical lecture, with handout and exercises. |
Tutorial | The part devoted to numerical analysis (~10 hours) is a hands-on tutorial aimed at programming in matlab. It is done in groups of two or three. |