6 Newtonian Flow
vp
cck )
^`
2
2
0
2
0
2
0
2
0
2
111
1
Mk
a
U
k
kRT
U
k
TkkR
U
Tc
U
Ec
p
D
X
kk
c
Pr
c
p
0
Prandtl number
(6.2.36)
PrRePe
Peclet number
(6.2.37)
PrEcBr Brinkman number
(6.2.38)
Thus, taking into account new nondimensional numbers in Eq.
(6.2.34), the similitude of the two systems, i.e. the model and prototype,
can be held when the temperature field is considered.
Solving Eqs. (6.2.27);
u
=0 for incompressible flow, Eqs. (6.2.28 or
6.2.29) and (6.2.34) with given boundary conditions, would give similarity
solutions that represent flow fields of any similar systems simultaneously.
It is seen from the nondimensionalized governing equations that choosing
the nondimensional numbers controls the flow fields of the systems. Thus,
the similarity solutions are the function of the nondimensional numbers,
represented as
0,,,, PrEcFrEuRef
(6.2.39)
where
Re , Eu ,
, Ec and P
are the nondimensional numbers that
appeared in the governing equations discussed above.
In the study of engineering fluid mechanics, there are very few prob-
lems that are actually solved using the differential equations discussed
above and have the similarity solutions as represented by a form of Eq.
(6.2.39). Instead of actually solving the system of differential equations,
we may be able to adopt dimensional analysis to predict prototype condi-
tions from model observations that are based on the notion of dimensional
homogeneity. With dimensional analysis we can find essential non-
dimensional numbers, which contributes to similitude with the two sys-
tems. The Buckingham
-theorem is a very powerful tool to derive the
essential nondimensional numbers. Particularly in experimental studies in
fluid mechanics involving the use of scaled models, the
S
-theorem is ef-
fective for correlating experimental results. In Appendix C, the Bucking-
ham
S
-theorem is demonstrated. The reader may refer to the point that
the nondimensional numbers obtained in Eq. (6.2.16) are also straightfor-
wardly derived by the
-theorem.
294