The nondimensionalized NavierStokes equation in cylindrical coordinates is given by:
∂u/∂t + u∂u/∂r + v∂u/∂θ + w∂u/∂z = 1/(ρ∞)∂p/∂r + μ[1/r∂/∂r(r∂u/∂r) + 1/r2∂2u/∂θ2 + ∂2u/∂z2]
Nondimensionalization and scaling of the Navier–Stokes equations
This article may be unbalanced towards certain viewpoints. Please improve the article by adding information on neglected viewpoints, or discuss the issue on the talk page. (September 2012)

Part of a series on  
Continuum mechanics  

$$ 

Laws


In fluid mechanics, nondimensionalization of the Navier–Stokes equations is the conversion of the Navier–Stokes equation to a nondimensional form. This technique can ease the analysis of the problem at hand, and reduce the number of free parameters. Small or large sizes of certain dimensionless parameters indicate the importance of certain terms in the equations for the studied flow. This may provide possibilities to neglect terms in (certain areas of) the considered flow. Further, nondimensionalized Navier–Stokes equations can be beneficial if one is posed with similar physical situations – that is problems where the only changes are those of the basic dimensions of the system.
Scaling of Navier–Stokes equation refers to the process of selecting the proper spatial scales – for a certain type of flow – to be used in the nondimensionalization of the equation. Since the resulting equations need to be dimensionless, a suitable combination of parameters and constants of the equations and flow (domain) characteristics have to be found. As a result of this combination, the number of parameters to be analyzed is reduced and the results may be obtained in terms of the scaled variables.
Need for nondimensionalization and scaling
In addition to reducing the number of parameters, nondimensionalized equation helps to gain a greater insight into the relative size of various terms present in the equation.
Following appropriate selecting of scales for the nondimensionalization process, this leads to identification of small terms in the equation. Neglecting the smaller terms against the bigger ones allows for the simplification of the situation. For the case of flow without heat transfer, the nondimensionalized Navier–Stokes equation depend only on the Reynolds Number and hence all physical realizations of the related experiment will have the same value of nondimensionalized variables for the same Reynolds Number.
Scaling helps provide better understanding of the physical situation, with the variation in dimensions of the parameters involved in the equation. This allows for experiments to be conducted on smaller scale prototypes provided that any physical effects which are not included in the nondimensionalized equation are unimportant.
Nondimensionalized Navier–Stokes equation
The incompressible Navier–Stokes momentum equation is written as:

$$
∂
u
∂
t
+
(
u
⋅
∇
)
u
=
−
1
ρ
∇
p
+
ν
∇
2
u
+
g
.
\displaystyle \frac \partial \mathbf u \partial t+(\mathbf u \cdot \nabla )\mathbf u =\frac 1\rho \nabla p+\nu \nabla ^2\mathbf u +\mathbf g .
where ρ is the density, p is the pressure, ν is the kinematic viscosity, u is the flow velocity, and g is the body acceleration field.
The above equation can be nondimensionalized through selection of appropriate scales as follows:

Scale dimensionless variable Length L $$
r
∗
=
r
L
\displaystyle \mathbf r ^*\ =\frac \mathbf r L
and
$$
∇
∗
=
L
∇
\displaystyle \nabla ^*\ =L\nabla
Flow velocity U $$
u
∗
=
u
U
\displaystyle \mathbf u ^*\ =\frac \mathbf u U\,
Time L/U $$
t
∗
=
t
L
/
U
\displaystyle t^*\ =\frac tL/U\,
Pressure: there is no natural selection for the pressure scale. Where dynamic effects are dominant i.e. high velocity flows 
$$
p
∗
=
p
ρ
U
2
\displaystyle p^*=\frac p\rho U^2
Where viscous effects are dominant i.e. creeping flows

$$
p
∗
=
p
L
μ
U
\displaystyle p^*=\frac pL\mu U

$$
Substituting the scales the nondimensionalized equation obtained is:

$$
∂
u
∗
∂
t
∗
+
(
u
∗
⋅
∇
∗
)
u
∗
=
−
∇
∗
p
∗
+
1
R
e
∇
∗
2
u
∗
+
1
F
r
2
g
^
.
{\displaystyle \frac \partial \mathbf u^* \partial t^*+(\mathbf u^* \cdot \nabla ^*)\mathbf u^* \ =\nabla ^*p^*+\frac 1Re\nabla ^*2\mathbf u^* +\frac 1Fr^2\hat g.}
()
where Fr is the Froude number and Re is the Reynolds number.
Flows with large viscosity
For flows where viscous forces are dominant i.e. slow flows with large viscosity, a viscous pressure scale μU/L is used. In the absence of a free surface, the equation obtained is

$$
R
e
(
∂
u
∗
∂
t
∗
+
(
u
∗
⋅
∇
∗
)
u
∗
)
=
−
∇
∗
p
∗
+
∇
∗
2
u
∗
.
{\displaystyle Re\left(\frac \partial \mathbf u^* \partial t^*+(\mathbf u^* \cdot \nabla ^*)\mathbf u^* \right)\ =\nabla ^*p^*+\nabla ^*2\mathbf u^* .}
()
Stokes regime
Scaling of equation (1) can be done, in a flow where inertia term is smaller than the viscous term i.e. when Re → 0 then inertia terms can be neglected, leaving the equation of a creeping motion.

$$
R
e
∂
u
∗
∂
t
∗
=
−
∇
∗
p
∗
+
∇
∗
2
u
∗
.
{\displaystyle Re\frac \partial \mathbf u^* \partial t^*=\nabla ^*p^*+\nabla ^*2\mathbf u^* .}
Such flows tend to have influence of viscous interaction over large distances from an object.^{[citation needed]} At low Reynolds number the same equation reduces to a diffusion equation, named Stokes equation

$$
−
∇
∗
p
∗
+
∇
∗
2
u
∗
=
0
.
\displaystyle \nabla ^*p^*+\nabla ^*2\mathbf u^* =\mathbf 0 .
Euler regime
Similarly if Re → ∞ i.e. when the inertia forces dominates, the viscous contribution can be neglected. The nondimensionalized Euler equation for an inviscid flow is

$$
∂
u
∗
∂
t
+
(
u
∗
⋅
∇
∗
)
u
∗
=
−
∇
∗
p
∗
.
{\displaystyle \frac \partial \mathbf u^* \partial t+(\mathbf u^* \cdot \nabla ^*)\mathbf u^* \ =\nabla ^*p^*.}
When density varies due to both concentration and temperature
Density variation due to both concentration and temperature is an important field of study in double diffusive convection. If density changes due to both temperature and salinity are taken into account, then some more terms add to the ZComponent of momentum as follows:

$$
∂
W
∂
t
+
U
∂
W
∂
X
+
W
∂
W
∂
Z
=
−
1
ρ
o
∂
p
d
∂
Z
+
v
(
∂
2
W
∂
X
2
+
∂
2
W
∂
Z
2
)
−
g
(
β
s
∇
S
−
β
T
∇
T
)
\displaystyle \frac \partial W\partial t+U\frac \partial W\partial X+W\frac \partial W\partial Z\ =\frac 1\rho _o\frac \partial p_d\partial Z+v\left(\frac \partial ^2W\partial X^2+\frac \partial ^2W\partial Z^2\right)\ g\left(\beta _s\nabla S\beta _T\nabla T\right)
Where S is the salinity of the fluid, β_{T} is the thermal expansion coefficient at constant pressure and β_{S} is the coefficient of saline expansion at constant pressure and temperature.
Non dimensionalizing using the scale:

$$
S
∗
=
S
−
S
B
S
T
−
S
B
\displaystyle S^*=\frac SS_BS_TS_B
and
$$
T
∗
=
T
−
T
B
T
T
−
T
B
\displaystyle T^*=\frac TT_BT_TT_B
we get

$$
∂
W
∗
∂
t
∗
+
U
∗
∂
W
∗
∂
X
∗
+
W
∗
∂
W
∗
∂
Z
∗
=
−
∂
p
d
∂
Z
∗
+
P
r
(
∂
2
W
∗
∂
X
∗
2
+
∂
2
W
∗
∂
Z
∗
2
)
−
R
a
s
P
r
s
S
+
R
a
T
P
r
T
T
\displaystyle \frac \partial W^*\partial t^*+U^*\frac \partial W^*\partial X^*+W^*\frac \partial W^*\partial Z^*\ =\frac \partial p_d\partial Z^*+Pr\left(\frac \partial ^2W^*\partial X^*2+\frac \partial ^2W^*\partial Z^*2\right)\ Ra_sPr_sS+Ra_TPr_TT
where S_{T}, T_{T} denote the salinity and temperature at top layer, S_{B}, T_{B} denote the salinity and temperature at bottom layer, Ra is the Rayleigh Number, and Pr is the Prandtl Number. The sign of Ra_{S} and Ra_{T} will change depending on whether it stabilizes or destabilizes the system.
References
Footnotes
Other
 “Nondimensionalizing Navier–Stokes”. CFD Online.
 T.Cebeci J.RShao,F. Kafyeke E. Laurendeau, Computational Fluid Dynamics for Engineers, Springer, 2005
 C. Pozrikidis, FLUID DYNAMICS Theory, Computation, and Numerical Simulation, KLUWER ACADEMIC PUBLISHERS, 2001
Further reading
 Doering, C.R.; Gibbon, J.D. (1995). Applied Analysis of the Navier–Stokes Equations. Cambridge Texts in Applied Mathematics. Vol. 12. Cambridge University Press. ISBN 9780521445689.
 Tritton, D.J. (1988). “Chapter 7 – Dynamic similarity”. Physical fluid dynamics (2nd ed.). Oxford [England]: Clarendon Press. ISBN 0198544898.
 Mattheij, R.M.M.; Rienstra, S.W.; ten Thije Boonkkamp, J.H.M. (2005). “§7.4 – Scaling and Reduction of the Navier–Stokes Equations”. Partial Differential Equations: Modeling, Analysis, Computation. SIAM. pp. 148–155. ISBN 9780898715941.
 Graebel, William (2007). “§6.2 – The Boundary Layer Equations”. Advanced Fluid Mechanics. Academic Press. pp. 171–174. ISBN 9780123708854.
 Leal, L. Gary (2007). Advanced Transport Phenomena: Fluid Mechanics and Convective Transport Processes. Cambridge University Press. ISBN 9780521849104.
This book contains several examples of different nondimensionalizations and scalings of the Navier–Stokes equations  Krantz, William B. (2007). Scaling Analysis in Modeling Transport and Reaction Processes: A Systematic Approach to Model Building and the Art of Approximation. John Wiley & Sons. ISBN 9780471772613.
 Zeytounian, Radyadour Kh. (2002). Asymptotic Modelling of Fluid Flow Phenomena. Fluid Mechanics and Its Applications. Vol. 64. Kluwer Academic Publishers. ISBN 9781402004322.
Source: Nondimensionalization and scaling of the Navier–Stokes equations
Wikipedia
Video about NonDimensionalize The Navier Stokes Equation In Cylindrical Coordinates
Fluid Mechanics Lesson 11C: NavierStokes Solutions, Cylindrical Coordinates
Question about NonDimensionalize The Navier Stokes Equation In Cylindrical Coordinates
If you have any questions about NonDimensionalize The Navier Stokes Equation In Cylindrical Coordinates, please let us know, all your questions or suggestions will help us improve in the following articles!
The article NonDimensionalize The Navier Stokes Equation In Cylindrical Coordinates was compiled by me and my team from many sources. If you find the article NonDimensionalize The Navier Stokes Equation In Cylindrical Coordinates helpful to you, please support the team Like or Share!
Rate Articles Nondimensionalization and scaling of the Navier–Stokes equations
Rate: 45 stars
Ratings: 7821
Views: 55284304
Search keywords NonDimensionalize The Navier Stokes Equation In Cylindrical Coordinates
1. Nondimensional Navier–Stokes equations
2. Reynolds number
3. Dimensionless parameters
4. Scaling parameters
5. Geometric similarity
6. Boundary layer theory
7. Viscous flow
8. Nondimensional parameters
9. Characteristic length
10. Characteristic velocity
#Nondimensionalization #scaling #NavierStokes #equations