--- title: "Reynolds number" firstLetter: "R" publishDate: 2021-05-04 categories: - Physics - Fluid mechanics - Fluid dynamics date: 2021-05-04T09:45:22+02:00 draft: false markup: pandoc --- # Reynolds number The [Navier-Stokes equations](/know/concept/navier-stokes-equations/) are infamously tricky to solve, so we would like a way to qualitatively predict the behaviour of a fluid without needing the flow $\va{v}$. Consider the main equation: $$\begin{aligned} \pdv{\va{v}}{t} + (\va{v} \cdot \nabla) \va{v} = - \frac{\nabla p}{\rho} + \nu \nabla^2 \va{v} \end{aligned}$$ Let us introduce the dimensionless variables $\va{v}'$, $\va{r}'$, $t'$ and $p'$, where $U$ and $L$ are respectively a characteristic velocity and length of the system at hand: $$\begin{aligned} \va{v} = U \va{v}' \qquad \va{r} = L \va{r}' \qquad t = \frac{L}{U} t' \qquad p = \rho U^2 p' \end{aligned}$$ In this non-dimenionsalization, the differential operators are scaled as follows: $$\begin{aligned} \pdv{t} = \frac{U}{L} \pdv{t'} \qquad \quad \nabla = \frac{1}{L} \nabla' \end{aligned}$$ Putting everything into the main Navier-Stokes equation then yields: $$\begin{aligned} \frac{U^2}{L} \pdv{\va{v}'}{t'} + \frac{U^2}{L} (\va{v}' \cdot \nabla') \va{v}' = - \frac{U^2}{L} \nabla' p' + \frac{U \nu}{L^2} \nabla'^2 \va{v}' \end{aligned}$$ After dividing out $U^2/L$, we arrive at the form of the original equation again: $$\begin{aligned} \pdv{\va{v}'}{t'} + (\va{v}' \cdot \nabla') \va{v}' = - \nabla' p' + \frac{\nu}{U L} \nabla'^2 \va{v}' \end{aligned}$$ The constant factor of the last term leads to the definition of the **Reynolds number** $\mathrm{Re}$: $$\begin{aligned} \boxed{ \mathrm{Re} \equiv \frac{U L}{\nu} } \end{aligned}$$ If we choose $U$ and $L$ appropriately for a given system, the Reynolds number allows us to predict the general trends. It can be regarded as the inverse of an "effective viscosity": when $\mathrm{Re}$ is large, viscosity only has a minor role, but when $\mathrm{Re}$ is small, it dominates the dynamics. Another way is thus to see the Reynolds number as the characteristic ratio between the advective term (see [material derivative](/know/concept/material-derivative/)) to the [viscosity](/know/concept/viscosity/) term, since $\va{v} \sim U$: $$\begin{aligned} \mathrm{Re} \approx \frac{\big| (\va{v} \cdot \nabla) \va{v} \big|}{\big| \nu \nabla^2 \va{v} \big|} \approx \frac{U^2 / L}{\nu U / L^2} = \frac{U L}{\nu} \end{aligned}$$ In other words, $\mathrm{Re}$ describes the relative strength of intertial and viscous forces. Returning to the dimensionless Navier-Stokes equation: $$\begin{aligned} \pdv{\va{v}'}{t'} + (\va{v}' \cdot \nabla') \va{v}' = - \nabla' p' + \frac{1}{\mathrm{Re}} \nabla'^2 \va{v}' \end{aligned}$$ For large $\mathrm{Re} \gg 1$, we can neglect the latter term, such that redimensionalizing yields: $$\begin{aligned} \pdv{\va{v}}{t} + (\va{v} \cdot \nabla) \va{v} = - \nabla p \end{aligned}$$ Which is simply the main [Euler equation](/know/concept/euler-equations/) for an ideal fluid, i.e. a fluid without viscosity. ## Stokes flow A notable case is so-called **Stokes flow** or **creeping flow**, meaning flow at $\mathrm{Re} \ll 1$. In this limit, the Navier-Stokes equations can be linearized: since $\mathrm{Re}$ is the advective-to-viscous ratio, $\mathrm{Re} \ll 1$ implies that we can ignore the advective term, leaving: $$\begin{aligned} \boxed{ \pdv{\va{v}}{t} = - \frac{\nabla p}{\rho} + \nu \nabla^2 \va{v} } \end{aligned}$$ This equation is called the **unsteady Stokes equation**. Usually, however, such flows are assumed to be steady (i.e. time-invariant), leading to the **steady Stokes equation**: $$\begin{aligned} \boxed{ \nabla p = \eta \nabla^2 \va{v} } \end{aligned}$$ This equation is much easier to solve than the full Navier-Stokes equation thanks to being linear, and has some interesting properties, such as time-reversibility. ## References 1. B. Lautrup, *Physics of continuous matter: exotic and everyday phenomena in the macroscopic world*, 2nd edition, CRC Press. 2. R. Fitzpatrick, [Dimensionless numbers in incompressible flow](https://farside.ph.utexas.edu/teaching/336L/Fluid/node17.html), University of Texas.