(ii) Rate of change of momentum = Net force: "conservation of momentum"
(iii) Energy is conserved, though it may change form: "conservation
of energy"


Momentum:
The terms on the rhs are:
I: pressure forces acting normal to the surface, per unit area.
II: body forces per unit mass.
III: shear forces acting parallel to the surface, per unit
area.

Note:
Energy per unit volume:
= r(Internal energy per unit mass + kinetic
energy per unit mass).
In addition to these specific conservation laws, specific equations relating the state variables are needed to solve problems for given kinds of fluids. To solve very complicated flow problems, the boundary conditions are specified, and all of these equations are solved simultaneoulsy all over the flowfield, for each step in time. This is a task which usually requires fast computers with large memory, because we have to keep track of a large number of variables and perform a large number of calculations. Long before this became "possible" people figured out more restricted ways of solving specific problems needed to build airplanes. These "smart analytical methods" form the subject of this course.

3. Gradient Theorem
If p is a scalar field, then
4.
where
is a scalar and
is a vector.
Substantial Derivative
The Eulerian Frame of Reference is the one fixed to the
control volume. The Lagrangian frame of reference is the one fixed to a
packet of fluid (a fluid element)

The substantial derivative is:
. The first term on the rhs is the "local" or "unsteady" term. The second
is the "convective" term.
The rate of change D()/Dt is for two reasons:
1. Things are changing at the point through which the element is moving (unsteady, local)
2. The element is moving into regions with different properties.
or,
In terms of veclocity components, this can be written as a scalar equation:
Momentum Conservation: Differential Form

Here u,v,w are the Cartesian components along x,y,z of
the vector
, and fx, fy and fz are components of the body force vector. From the continuity
equation,
, and the substantial derivative, we can reduce th emomentum equation to: