This module covers developing our governing equations (conservation of mass, momentum, and energy) by applying control volume analysis.
It also introduces the concept of the stagnation reference state.
Our analysis requires us to make a series of assumptions about the fluid flow:
In general, flow is three-dimensional and unsteady, so V=f(t,x,y,z)
If we assume a flow is two-dimensional and unsteady, then V=f(t,x,y)
We can next assume the flow is unsteady and one-dimensional: V=f(t,x)
Finally, we can assume one-dimensional steaedy flow: V=f(x)
However, one-dimensional steady flow is not the same as unidirectional flow,
since the overall flow direction can change.
The total derivative = convective derivative (changes due to movement of fluid to a new location) + local/partial derivative (changes with time at a given location). For example, the total derivative for pressure is
With fluids, it is much more convenient to work with control volumes, so we need a way to convert from equations governing a control mass (written with a total derivative) to those that apply to control volumes.
where N is the total amount of the property in a given mass and η is the
amount per unit mass (the intensive version of this property).
The overall change in the property N is then dtdN.
Let’s follow a given control mass of fluid from time t to time t+Δt,
as it moves through space. The volume of space that the control mass occupied
initially is our control volume, which the mass crosses as it moves.
For a small time increment Δt, the volumes occupied by the fluid at time t
and time t+Δt will overlap.
We can write the overall change in N with time as
dtdN≡Δt→0limΔt(final value of N)t+Δt−(initial value of N)tdtdN=Δt→0limΔt(N2+N3)t+Δt−(N1+N2)t,
represents the amount of property N lost by the fluid out of the control volume.
(After all, region 3 is formed by the fluid moving out.)
We can relate this to the fluid that crosses the surface of the control volume:
where Sout is the area where fluid leaves the control volume,
V is the velocity vector of the fluid, and
n^ is the unit normal vector of the surface area.
So, then
but as Δt→0, and thus the region of overlap becomes the control volume itself,
n^=−n^′, and the areas where the fluid leave and enter the control volume
are the control surface (CS), and so
which is the Reynolds transport theorem.
This expresses that the rate of change of an extensive property N
for a given mass as it moves around is equal to the rate of change of N
inside the control volume plus the net efflux (flow out - flow in) of N
from the control volume.
Conservation of mass states that, for a control mass, dtd(mass)=0.
We can apply this to a control volume by recognizing that N=mass and η=1.
Then, applying this to Reynolds transport theorem (36) we get the continuity
equation for a control volume:
which is a useful expression for flow through a duct, channel, or streamline.
Also, it shows us that if dA=0 (i.e., the area is constant), then
increasing flow velocity means decreasing flow density, and vice versa.
where the first two terms are the instantaneous rates of heat and work transfer
between the system and its surroundings, and dtdE is the total derivative
of energy. In this case, N=E, and η=e=u+2V2+gz,
so applying Reynolds transport theorem (36) gives:
Consider a system with pressure-volume work from a piston and shaft work.
We should choose the control surface appropriately so that there is no fluid motion
at the boundary, except where
fluid enters and leaves the control volume, and
a device (e.g., shaft) crosses the boundary.
There is no pressure/shear work along the sidewalls, since the fluid velocity at the wall is zero.
We can also develop a useful expression that relates pressure, energy, and entropy.
Recall that ΔS≡∫TδQR.
We can express changes in entropy as dS=dSe+dSi,
separating into changes caused by actual heat transfer (dSe)
and changes caused by irreversibilities (dSi).
By definition,
where dSe=0 for adiabatic processes.
Then, dSi≥0, and this comes from irreversible effects
(e.g., temperature or pressure gradients, friction). For a reversible process, dSi=0.
Let’s consider a cyclic integral of entropy (meaning, integrate over a cycle):
We can obtain a pressure-energy equation by integrating our property relation
into conservation of energy, taking advantage of this approach to considering entropy: