SlideShare a Scribd company logo
Lecture-2:
Imran Nazir Unar
CONSERVATION EQUATIONS
2
• The governing equations include the following conservation laws
of physics:
– Conservation of mass.
– Newton’s second law: the change of momentum equals the sum of
forces on a fluid particle.
– First law of thermodynamics (conservation of energy): rate of change
of energy equals the sum of rate of heat addition to and work done
on fluid particle.
• The fluid is treated as a continuum. For length scales of, say,
1µm and larger, the molecular structure and motions may be
ignored.
Governing equations
3
Lagrangian vs. Eulerian description
A fluid flow field can be thought
of as being comprised of a large
number of finite sized fluid
particles which have mass,
momentum, internal energy, and
other properties. Mathematical
laws can then be written for each
fluid particle. This is the
Lagrangian description of fluid
motion.
Another view of fluid motion is
the Eulerian description. In the
Eulerian description of fluid
motion, we consider how flow
properties change at a fluid
element that is fixed in space
and time (x,y,z,t), rather than
following individual fluid
particles.
Governing equations can be derived using each
method and converted to the other form.
4
Fluid element and properties
• The behavior of the fluid is described in
terms of macroscopic properties:
– Velocity u.
– Pressure p.
– Density ρ.
– Temperature T.
– Energy E.
• Typically ignore (x,y,z,t) in the notation.
• Properties are averages of a sufficiently
large number of molecules.
• A fluid element can be thought of as the
smallest volume for which the continuum
assumption is valid.
x
y
z
δδδδy
δδδδx
δδδδz(x,y,z)
Fluid element for
conservation laws
Faces are labeled
North, East, West,
South, Top and Bottom
1 1
2 2
W E
p p
p p x p p x
x x
δ δ
∂ ∂
= − = +
∂ ∂
Properties at faces are expressed as first
two terms of a Taylor series expansion,
e.g. for p: and
5
Mass balance
• Rate of increase of mass in fluid element equals the net rate of
flow of mass into element.
• Rate of increase is:
• The inflows (positive) and outflows (negative) are shown here:
zyx
t
zyx
t
δδδρδδρδ
∂
∂=
∂
∂ )(
x
y
z
( ) 1
.
2
w
w z x y
z
ρ
ρ δ δ δ
∂ 
+ 
∂ 
( ) 1
.
2
v
v y x z
y
ρ
ρ δ δ δ
 ∂
+ 
∂ 
zyx
x
u
u δδδ
ρ
ρ 





∂
∂
−
2
1
.
)(
zxy
y
v
v δδδ
ρ
ρ 





∂
∂
−
2
1
.
)(
yxz
z
w
w δδδ
ρ
ρ 





∂
∂
−
2
1
.
)(
( ) 1
.
2
u
u x y z
x
ρ
ρ δ δ δ
∂ 
+ 
∂ 
6
Continuity equation
• Summing all terms in the previous slide and dividing by the
volume δxδyδz results in:
• In vector notation:
• For incompressible fluids ∂ρ/∂ t = 0, and the equation becomes:
div u = 0.
• Alternative ways to write this: and
0)()()( =
∂
∂+
∂
∂+
∂
∂+
∂
∂
z
w
y
v
x
u
t
ρρρρ
0)( =+
∂
∂ uρρ div
t
Change in density Net flow of mass across boundaries
Convective term
0=
∂
∂+
∂
∂+
∂
∂
z
w
y
v
x
u 0=
∂
∂
i
i
x
u
7
Different forms of the continuity equation
formonConservati
formIntegral
dV
t SV
0=⋅+
∂
∂
∫∫∫∫∫ dSUρρ
formonconservatiNon
formIntegral
dV
Dt
D
V
−
=∫∫∫ 0ρ
formonConservati
formalDifferenti
t
0)( =⋅∇+
∂
∂
Uρ
ρ
formonconservatiNon
formalDifferenti
Dt
D
−
=⋅∇+ 0Uρ
ρ
Infinitesimally small
element fixed in space
Infinitesimally small fluid element of fixed
mass (“fluid particle”) moving with the flow
Finite control volume
fixed in space
Finite control volume fixed
mass moving with flow
U
8
Rate of change for a fluid particle
• Terminology: fluid element is a volume stationary in space, and a
fluid particle is a volume of fluid moving with the flow.
• A moving fluid particle experiences two rates of changes:
– Change due to changes in the fluid as a function of time.
– Change due to the fact that it moves to a different location in the fluid
with different conditions.
• The sum of these two rates of changes for a property per unit
mass φ is called the total or substantive derivative Dφ /Dt:
• With dx/dt=u, dy/dt=v, dz/dt=w, this results in:
dt
dz
zdt
dy
ydt
dx
xtDt
D
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
=
φφφφφ
φ
φφ
grad
tDt
D
.u+
∂
∂
=
9
Rate of change for a stationary fluid element
• In most cases we are interested in the changes of a flow property
for a fluid element, or fluid volume, that is stationary in space.
• However, some equations are easier derived for fluid particles.
For a moving fluid particle, the total derivative per unit volume of
this property φ is given by:
• For a fluid element, for an arbitrary conserved property φ:






+
∂
∂
= φ
φ
ρ
φ
ρ grad
tDt
D
.u
0)( =+
∂
∂ uρρ div
t
0)(
)(
=+
∂
∂
uρφ
ρφ
div
t
Continuity equation Arbitrary property
(for moving fluid particle) (for given location in space)
10
Dt
D
div
t
grad
t
div
t
φ
ρρ
ρ
φφ
φ
ρρφ
ρφ
=



+
∂
∂
+



+
∂
∂
=+
∂
∂
)(.)(
)(
uuu
zero because of continuity
Dt
D
div
t
φ
ρρφ
ρφ
=+
∂
∂
)(
)(
u
Rate of increase of
φφφφ of fluid element
Net rate of flow of
φφφφ out of fluid element
Rate of increase of
φφφφ for a fluid particle
=
Fluid particle and fluid element
• We can derive the relationship between the equations for a fluid
particle (Lagrangian) and a fluid element (Eulerian) as follows:
11
To remember so far
• We need to derive conservation equations that we can solve to
calculate fluid velocities and other properties.
• These equations can be derived either for a fluid particle that is
moving with the flow (Lagrangian) or for a fluid element that is
stationary in space (Eulerian).
• For CFD purposes we need them in Eulerian form, but (according
to the book) they are somewhat easier to derive in Lagrangian
form.
• Luckily, when we derive equations for a property φ in one form,
we can convert them to the other form using the relationship
shown on the bottom in the previous slide.
12
Relevant entries for Φ
x-momentum u
Dt
Du
ρ )(
)(
uudiv
t
u
ρ
ρ
+
∂
∂
y-momentum v
Dt
Dv
ρ )(
)(
uvdiv
t
v
ρ
ρ
+
∂
∂
z-momentum w
Dt
Dw
ρ )(
)(
uwdiv
t
w
ρ
ρ
+
∂
∂
Energy E
Dt
DE
ρ )(
)(
uEdiv
t
E
ρ
ρ
+
∂
∂
13
Momentum equation in three dimensions
• We will first derive conservation equations for momentum and
energy for fluid particles. Next we will use the above relationships
to transform those to an Eulerian frame (for fluid elements).
• We start with deriving the momentum equations.
• Newton’s second law: rate of change of momentum equals sum
of forces.
• Rate of increase of x-, y-, and z-momentum:
• Forces on fluid particles are:
– Surface forces such as pressure and viscous forces.
– Body forces, which act on a volume, such as gravity, centrifugal,
Coriolis, and electromagnetic forces.
Dt
Dw
Dt
Dv
Dt
Du
ρρρ
14
Viscous stresses
• Stresses are forces per area.
Unit is N/m2 or Pa.
• Viscous stresses denoted by τ.
• Suffix notation τij is used to
indicate direction.
• Nine stress components.
– τxx, τyy, τzz are normal stresses.
E.g. τzz is the stress in the z-
direction on a z-plane.
– Other stresses are shear
stresses. E.g. τzy is the stress in
the y-direction on a z-plane.
• Forces aligned with the direction
of a coordinate axis are positive.
Opposite direction is negative.
15
Forces in the x-direction
x
z
y
zyx
x
p
p δδδ )
2
1
.(
∂
∂
+−zyx
x
p
p δδδ )
2
1
.(
∂
∂
−
zyz
z
zx
zx δδδ
τ
τ )
2
1
.(
∂
∂
+
yxz
z
zx
zx δδδ
τ
τ )
2
1
.(
∂
∂
−−
zxy
y
yx
yx δδδ
τ
τ )
2
1
.(
∂
∂
−−zxy
y
yx
yx δδδ
τ
τ )
2
1
.(
∂
∂
+
zyx
x
xx
xx δδδ
τ
τ )
2
1
.(
∂
∂
−− zyx
x
xx
xx δδδ
τ
τ )
2
1
.(
∂
∂
+
Net force in the x-direction is the sum of all the force components in that direction.
16
Momentum equation
• Set the rate of change of x-momentum for a fluid particle Du/Dt
equal to:
– the sum of the forces due to surface stresses shown in the previous
slide, plus
– the body forces. These are usually lumped together into a source
term SM:
– p is a compressive stress and τxx is a tensile stress.
• Similarly for y- and z-momentum:
Mx
zxyxxx
S
zyx
p
Dt
Du
+
∂
∂
+
∂
∂
+
∂
+−∂
=
τττ
ρ
)(
My
zyyyxy
S
zy
p
xDt
Dv
+
∂
∂
+
∂
+−∂
+
∂
∂
=
τττ
ρ
)(
Mz
zzyzxz
S
z
p
yxDt
Dw
+
∂
+−∂
+
∂
∂
+
∂
∂
=
)( τττ
ρ
17
Energy equation
• First law of thermodynamics: rate of change of energy of a fluid
particle is equal to the rate of heat addition plus the rate of work
done.
• Rate of increase of energy is ρDE/Dt.
• Energy E = i + ½ (u2+v2+w2).
• Here, i is the internal (thermal energy).
• ½ (u2+v2+w2) is the kinetic energy.
• Potential energy (gravitation) is usually treated separately and
included as a source term.
• We will derive the energy equation by setting the total derivative
equal to the change in energy as a result of work done by viscous
stresses and the net heat conduction.
• Next we will subtract the kinetic energy equation to arrive at a
conservation equation for the internal energy.
18
zyx
x
up
up δδδ )
2
1
.
)(
(
∂
∂
+−
Work done by surface stresses in x-direction
x
z
y
zyx
x
up
up δδδ )
2
1
.
)(
(
∂
∂
−
zyz
z
u
u zx
zx δδδ
τ
τ )
2
1
.
)(
(
∂
∂
+
yxz
z
u
u zx
zx δδδ
τ
τ )
2
1
.
)(
(
∂
∂
−−
zxy
y
u
u yx
yx δδδ
τ
τ )
2
1
.
)(
(
∂
∂
−−zxy
y
u
u yx
yx δδδ
τ
τ )
2
1
.
)(
(
∂
∂
+
zyx
x
u
u xx
xx δδδ
τ
τ )
2
1
.
)(
(
∂
∂
−−
zyx
x
u
u xx
xx δδδ
τ
τ )
2
1
.
)(
(
∂
∂
+
Work done is force times velocity.
19
Work done by surface stresses
• The total rate of work done by surface stresses is calculated as
follows:
– For work done by x-components of stresses add all terms in the
previous slide.
– Do the same for the y- and z-components.
• Add all and divide by δxδyδz to get the work done per unit volume
by the surface stresses:
z
u
y
w
x
w
z
v
y
v
x
v
z
u
y
u
x
u
pdiv
zzyzxzzyyy
xyzxyxxx
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+−
)()()()()(
)()()()(
)(
τττττ
ττττ
u
20
Energy flux due to heat conduction
x
z
y
yxz
z
q
q z
z δδδ )
2
1
.(
∂
∂
+
yxz
z
q
q z
z δδδ )
2
1
.(
∂
∂
−
zyx
x
q
q x
x δδδ )
2
1
.(
∂
∂
+zyx
x
q
q x
x δδδ )
2
1
.(
∂
∂
−
zxy
y
q
q y
y δδδ )
2
1
.(
∂
∂
+
zxy
y
q
q y
y δδδ )
2
1
.(
∂
∂
−
The heat flux vector q has three components, qx, qy, and qz.
21
Energy flux due to heat conduction
• Summing all terms and dividing by δxδyδz gives the net rate of heat
transfer to the fluid particle per unit volume:
• Fourier’s law of heat conduction relates the heat flux to the local
temperature gradient:
• In vector form:
• Thus, energy flux due to conduction:
• This is the final form used in the energy equation.
qdiv
z
q
y
q
x
q zyx
−=
∂
∂
−
∂
∂
−
∂
∂
−
z
T
kq
y
T
kq
x
T
kq zyx
∂
∂
−=
∂
∂
−=
∂
∂
−=
Tgradk−=q
)( Tgradkdivdiv =− q
22
Energy equation
• Setting the total derivative for the energy in a fluid particle equal
to the previously derived work and energy flux terms, results in
the following energy equation:
• Note that we also added a source term SE that includes sources
(potential energy, sources due to heat production from chemical
reactions, etc.).
E
zzyzxzzyyy
xyzxyxxx
STgradkdiv
z
u
y
w
x
w
z
v
y
v
x
v
z
u
y
u
x
u
pdiv
Dt
DE
++



∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+



∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+−=
)(
)()()()()(
)()()()(
)(
τττττ
ττττ
ρ u
23
Kinetic energy equation
• Separately, we can derive a conservation equation for the kinetic
energy of the fluid.
• In order to do this, we multiply the u-momentum equation by u,
the v-momentum equation by v, and the w-momentum equation
by w. We then add the results together.
• This results in the following equation for the kinetic energy:
M
zzyzxzzyyyxy
zxyxxx
zyx
w
zyx
v
zyx
upgrad
Dt
wvuD
Su
u
.
.
)]([ 222
2
1
+





∂
∂
+
∂
∂
+
∂
∂
+





∂
∂
+
∂
∂
+
∂
∂
+






∂
∂
+
∂
∂
+
∂
∂
+−=
++
ττττττ
τττ
ρ
24
Internal energy equation
• Subtract the kinetic energy equation from the energy equation.
• Define a new source term for the internal energy as
Si = SE - u.SM. This results in:
i
zzyzxzzyyy
xyzxyxxx
STgradkdiv
z
u
y
w
x
w
z
v
y
v
x
v
z
u
y
u
x
u
divp
Dt
Di
++



∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+



∂
∂
+
∂
∂
+
∂
∂
+
∂
∂
+−=
)(
τττττ
ττττρ u
25
Enthalpy equation
• An often used alternative form of the energy equation is the total
enthalpy equation.
– Specific enthalpy h = i + p/ρ.
– Total enthalpy h0 = h + ½ (u2+v2+w2) = E + p/ρ.
0
0
( )
( ) ( )
( ) ( )( ) ( )
( ) ( ) ( )( ) ( )
yx xyxx zx
yy zy yzxz zz
h
h
div h div k grad T
t
u vu u
x y z x
v v ww u
y z x y z
S
ρ
ρ
τ ττ τ
τ τ ττ τ
∂
+ =
∂
∂ ∂∂ ∂
+ + + + ∂ ∂ ∂ ∂
∂ ∂ ∂ ∂ ∂
+ + + + + ∂ ∂ ∂ ∂ ∂ 
+
u
26
Equations of state
• Fluid motion is described by five partial differential equations for
mass, momentum, and energy.
• Amongst the unknowns are four thermodynamic variables: ρ, p, i,
and T.
• We will assume thermodynamic equilibrium, i.e. that the time it
takes for a fluid particle to adjust to new conditions is short
relative to the timescale of the flow.
• We add two equations of state using the two state variables ρ and
T: p=p(ρ,T) and i=i(ρ,T).
• For a perfect gas, these become: p=ρ RT and i=CvT.
• At low speeds (e.g. Ma < 0.2), the fluids can be considered
incompressible. There is no linkage between the energy equation,
and the mass and momentum equation. We then only need to
solve for energy if the problem involves heat transfer.
27
Viscous stresses
• A model for the viscous stresses τij is required.
• We will express the viscous stresses as functions of the local
deformation rate (strain rate) tensor.
• There are two types of deformation:
– Linear deformation rates due to velocity gradients.
• Elongating stress components (stretching).
• Shearing stress components.
– Volumetric deformation rates due to expansion or compression.
• All gases and most fluids are isotropic: viscosity is a scalar.
• Some fluids have anisotropic viscous stress properties, such as
certain polymers and dough. We will not discuss those here.
28
Viscous stress tensor


















−
∂
∂






∂
∂
+
∂
∂






∂
∂
+
∂
∂






∂
∂
+
∂
∂
−
∂
∂






∂
∂
+
∂
∂






∂
∂
+
∂
∂






∂
∂
+
∂
∂
−
∂
∂
=










=
u
u
u
τ
div
z
w
y
w
z
v
x
w
z
u
y
w
z
v
div
y
v
x
v
y
u
x
w
z
u
x
v
y
u
div
x
u
zzzyzx
yzyyyx
xzxyxx
µµµµ
µµµµ
µµµµ
τττ
τττ
τττ
3
2
2
3
2
2
3
2
2
• Using an isotropic (first) dynamic viscosity µ for the linear
deformations and a second viscosity λ=-2/3 µ for the volumetric
deformations results in:
Note: div u = 0 for incompressible fluids.
29
Navier-Stokes equations
• Including the viscous stress terms in the momentum balance and
rearranging, results in the Navier-Stokes equations:
MxSugraddiv
x
p
udiv
t
u
momentumx ++
∂
∂
−=+
∂
∂
− )()(
)(
: µρ
ρ
u
MySvgraddiv
y
p
vdiv
t
v
momentumy ++
∂
∂
−=+
∂
∂
− )()(
)(
: µρ
ρ
u
MzSwgraddiv
z
p
wdiv
t
w
momentumz ++
∂
∂
−=+
∂
∂
− )()(
)(
: µρ
ρ
u
30
Viscous dissipation
• Similarly, substituting the stresses in the internal energy equation
and rearranging results in:
• Here Φ is the viscous dissipation term. This term is always
positive and describes the conversion of mechanical energy to
heat.
iSTgradkdivdivpidiv
t
i
energyInternal +Φ++−=+
∂
∂
)()(
)(
: uuρ
ρ
2
22
2222
)(
3
2
2
udiv
y
w
z
v
x
w
z
u
x
v
y
u
z
w
y
v
x
u
µ
µ
−










∂
∂
+
∂
∂
+





∂
∂
+
∂
∂
+






∂
∂
+
∂
∂
+


















∂
∂
+





∂
∂
+





∂
∂
=Φ
31
Summary of equations in conservation form
0)(: =+
∂
∂
uρ
ρ
div
t
Mass
MxSugraddiv
x
p
udiv
t
u
momentumx ++
∂
∂
−=+
∂
∂
− )()(
)(
: µρ
ρ
u
MySvgraddiv
y
p
vdiv
t
v
momentumy ++
∂
∂
−=+
∂
∂
− )()(
)(
: µρ
ρ
u
MzSwgraddiv
z
p
wdiv
t
w
momentumz ++
∂
∂
−=+
∂
∂
− )()(
)(
: µρ
ρ
u
iSTgradkdivdivpidiv
t
i
energyInternal +Φ++−=+
∂
∂
)()(
)(
: uuρ
ρ
TCiandRTpgasperfectforge
TiiandTppstateofEquations
v==
==
ρ
ρρ
:..
),(),(:
32
• The system of equations is now closed, with seven equations for seven
variables: pressure, three velocity components, enthalpy, temperature,
and density.
• There are significant commonalities between the various equations.
Using a general variable φ, the conservative form of all fluid flow
equations can usefully be written in the following form:
• Or, in words:
General transport equations
( ) ( ) ( ) φφρφ
ρφ
Sgraddivdiv
t
+Γ=+
∂
∂
u
Rate of increase
of φφφφ of fluid
element
Net rate of flow
of φφφφ out of
fluid element
(convection)
Rate of increase
of φφφφ due to
diffusion
Rate of increase
of φφφφ due to
sources
=+ +
33
Integral form
• The key step of the finite volume method is to integrate the differential
equation shown in the previous slide, and then to apply Gauss’
divergence theorem, which for a vector a states:
• This then leads to the following general conservation equation in integral
form:
• This is the actual form of the conservation equations solved by finite
volume based CFD programs to calculate the flow pattern and
associated scalar fields.
∫∫ ⋅=
ACV
dAdVdiv ana
dVSdAgraddAdV
t CVAACV
∫∫∫∫ +Γ⋅=⋅+





∂
∂
φφρφρφ )()( nun
Rate of
increase
of φφφφ
Net rate of
decrease of φφφφ due
to convection
across boundaries
Net rate of
increase of φφφφ due
to diffusion
across boundaries
Net rate of
creation
of φφφφ
=+ +

More Related Content

What's hot

Fluid flow Equations.pptx
Fluid flow Equations.pptxFluid flow Equations.pptx
Fluid flow Equations.pptxChintanModi26
 
Fluid Mechanics Chapter 4. Differential relations for a fluid flow
Fluid Mechanics Chapter 4. Differential relations for a fluid flowFluid Mechanics Chapter 4. Differential relations for a fluid flow
Fluid Mechanics Chapter 4. Differential relations for a fluid flowAddisu Dagne Zegeye
 
Heat transfer by convection
Heat transfer by convectionHeat transfer by convection
Heat transfer by convectionbalkppt
 
Reynolds transport theorem
Reynolds transport theoremReynolds transport theorem
Reynolds transport theoremMOHIT MAYOOR
 
Fluid Mechanics - Hydrostatic Pressure
Fluid Mechanics - Hydrostatic PressureFluid Mechanics - Hydrostatic Pressure
Fluid Mechanics - Hydrostatic PressureMalla Reddy University
 
Boundary layer equation
Boundary layer equationBoundary layer equation
Boundary layer equationJustin Myint
 
Dimension less numbers in applied fluid mechanics
Dimension less numbers in applied fluid mechanicsDimension less numbers in applied fluid mechanics
Dimension less numbers in applied fluid mechanicstirath prajapati
 
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)Rajibul Alam
 
Fluid kinematics and dynamics
Fluid kinematics and dynamicsFluid kinematics and dynamics
Fluid kinematics and dynamicstechnicalpiyush1
 
Dimensionless analysis & Similarities
Dimensionless analysis & Similarities Dimensionless analysis & Similarities
Dimensionless analysis & Similarities sajan gohel
 
Dimensionless number
Dimensionless numberDimensionless number
Dimensionless numberanwesakar
 
Fluid Mechanics Chapter 7. Compressible flow
Fluid Mechanics Chapter 7. Compressible flowFluid Mechanics Chapter 7. Compressible flow
Fluid Mechanics Chapter 7. Compressible flowAddisu Dagne Zegeye
 
UNIT - III NORMAL & OBLIQUE SHOCKS
UNIT - III NORMAL & OBLIQUE SHOCKSUNIT - III NORMAL & OBLIQUE SHOCKS
UNIT - III NORMAL & OBLIQUE SHOCKSsureshkcet
 
heat conduction equations
heat conduction equationsheat conduction equations
heat conduction equationsZahir Baloch
 
Bernoulli’s equation
Bernoulli’s equationBernoulli’s equation
Bernoulli’s equationSajjad Ahmad
 

What's hot (20)

Fluid flow Equations.pptx
Fluid flow Equations.pptxFluid flow Equations.pptx
Fluid flow Equations.pptx
 
Fluid Mechanics Chapter 4. Differential relations for a fluid flow
Fluid Mechanics Chapter 4. Differential relations for a fluid flowFluid Mechanics Chapter 4. Differential relations for a fluid flow
Fluid Mechanics Chapter 4. Differential relations for a fluid flow
 
Heat transfer by convection
Heat transfer by convectionHeat transfer by convection
Heat transfer by convection
 
Reynolds transport theorem
Reynolds transport theoremReynolds transport theorem
Reynolds transport theorem
 
Fluid Kinematics
Fluid KinematicsFluid Kinematics
Fluid Kinematics
 
Fluid Mechanics - Hydrostatic Pressure
Fluid Mechanics - Hydrostatic PressureFluid Mechanics - Hydrostatic Pressure
Fluid Mechanics - Hydrostatic Pressure
 
Flow through pipes ppt
Flow through pipes pptFlow through pipes ppt
Flow through pipes ppt
 
Boundary layer equation
Boundary layer equationBoundary layer equation
Boundary layer equation
 
Boundary layer
Boundary layerBoundary layer
Boundary layer
 
Dimension less numbers in applied fluid mechanics
Dimension less numbers in applied fluid mechanicsDimension less numbers in applied fluid mechanics
Dimension less numbers in applied fluid mechanics
 
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)
A STUDY ON VISCOUS FLOW (With A Special Focus On Boundary Layer And Its Effects)
 
Fluid kinematics and dynamics
Fluid kinematics and dynamicsFluid kinematics and dynamics
Fluid kinematics and dynamics
 
Fluid kinematics
Fluid kinematics Fluid kinematics
Fluid kinematics
 
Dimensionless analysis & Similarities
Dimensionless analysis & Similarities Dimensionless analysis & Similarities
Dimensionless analysis & Similarities
 
Dimensionless number
Dimensionless numberDimensionless number
Dimensionless number
 
Fluid Mechanics Chapter 7. Compressible flow
Fluid Mechanics Chapter 7. Compressible flowFluid Mechanics Chapter 7. Compressible flow
Fluid Mechanics Chapter 7. Compressible flow
 
UNIT - III NORMAL & OBLIQUE SHOCKS
UNIT - III NORMAL & OBLIQUE SHOCKSUNIT - III NORMAL & OBLIQUE SHOCKS
UNIT - III NORMAL & OBLIQUE SHOCKS
 
Dimensionless number
Dimensionless numberDimensionless number
Dimensionless number
 
heat conduction equations
heat conduction equationsheat conduction equations
heat conduction equations
 
Bernoulli’s equation
Bernoulli’s equationBernoulli’s equation
Bernoulli’s equation
 

Viewers also liked

An introduction to abaqus cfd
An introduction to abaqus cfdAn introduction to abaqus cfd
An introduction to abaqus cfdAhmadreza Aminian
 
Role of CFD in Engineering Design
Role of CFD in Engineering DesignRole of CFD in Engineering Design
Role of CFD in Engineering DesigniMentor Education
 
Introduction to Computational Fluid Dynamics (CFD)
Introduction to Computational Fluid Dynamics (CFD)Introduction to Computational Fluid Dynamics (CFD)
Introduction to Computational Fluid Dynamics (CFD)Hashim Hasnain Hadi
 
Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD)Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD)Taani Saxena
 
Fluid mechanics lectur notes
Fluid mechanics lectur notesFluid mechanics lectur notes
Fluid mechanics lectur notesisminci
 

Viewers also liked (7)

In to el
In to elIn to el
In to el
 
An introduction to abaqus cfd
An introduction to abaqus cfdAn introduction to abaqus cfd
An introduction to abaqus cfd
 
Role of CFD in Engineering Design
Role of CFD in Engineering DesignRole of CFD in Engineering Design
Role of CFD in Engineering Design
 
Introduction to Computational Fluid Dynamics (CFD)
Introduction to Computational Fluid Dynamics (CFD)Introduction to Computational Fluid Dynamics (CFD)
Introduction to Computational Fluid Dynamics (CFD)
 
Introduction to cfd
Introduction to cfdIntroduction to cfd
Introduction to cfd
 
Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD)Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD)
 
Fluid mechanics lectur notes
Fluid mechanics lectur notesFluid mechanics lectur notes
Fluid mechanics lectur notes
 

Similar to 02 conservation equations

Introduction to basic principles of fluid mechanics
Introduction to basic principles of fluid mechanicsIntroduction to basic principles of fluid mechanics
Introduction to basic principles of fluid mechanicsAlwin Johnnie DoraiRaj
 
Part 1 Momentum Pt 2(1).pdf
Part 1 Momentum Pt 2(1).pdfPart 1 Momentum Pt 2(1).pdf
Part 1 Momentum Pt 2(1).pdfSajawalNawaz5
 
Part 2 Momentum Pt 3(1).pdf
Part 2 Momentum Pt 3(1).pdfPart 2 Momentum Pt 3(1).pdf
Part 2 Momentum Pt 3(1).pdfSajawalNawaz5
 
03 tensors
03 tensors03 tensors
03 tensorsTino Lc
 
Gas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptxGas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptxNamLe218588
 
1. Rock Elasticity
1. Rock Elasticity1. Rock Elasticity
1. Rock ElasticityJames Craig
 
Thermal instability of incompressible non newtonian viscoelastic fluid with...
Thermal instability of incompressible non   newtonian viscoelastic fluid with...Thermal instability of incompressible non   newtonian viscoelastic fluid with...
Thermal instability of incompressible non newtonian viscoelastic fluid with...eSAT Publishing House
 
Thermal instability of incompressible non newtonian viscoelastic fluid with...
Thermal instability of incompressible non   newtonian viscoelastic fluid with...Thermal instability of incompressible non   newtonian viscoelastic fluid with...
Thermal instability of incompressible non newtonian viscoelastic fluid with...eSAT Journals
 
Gas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptxGas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptxrabeamatouk
 
Part 1 Last weeks summary.pdf
Part 1 Last weeks summary.pdfPart 1 Last weeks summary.pdf
Part 1 Last weeks summary.pdfSajawalNawaz5
 
Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...
Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...
Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...Alexander Decker
 
Fluid Mechanics (2)civil engineers sksks
Fluid Mechanics (2)civil engineers sksksFluid Mechanics (2)civil engineers sksks
Fluid Mechanics (2)civil engineers sksks9866560321sv
 
Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...
Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...
Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...iosrjce
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1guest7b51c7
 
Heat and mass transfer equation; continuity equation; momentum equation;
Heat and mass transfer equation; continuity equation; momentum equation;Heat and mass transfer equation; continuity equation; momentum equation;
Heat and mass transfer equation; continuity equation; momentum equation;Chandan
 
Chemical Thermodynamics
Chemical ThermodynamicsChemical Thermodynamics
Chemical ThermodynamicsLALIT SHARMA
 

Similar to 02 conservation equations (20)

Introduction to basic principles of fluid mechanics
Introduction to basic principles of fluid mechanicsIntroduction to basic principles of fluid mechanics
Introduction to basic principles of fluid mechanics
 
Part 1 Momentum Pt 2(1).pdf
Part 1 Momentum Pt 2(1).pdfPart 1 Momentum Pt 2(1).pdf
Part 1 Momentum Pt 2(1).pdf
 
Part 2 Momentum Pt 3(1).pdf
Part 2 Momentum Pt 3(1).pdfPart 2 Momentum Pt 3(1).pdf
Part 2 Momentum Pt 3(1).pdf
 
03 tensors
03 tensors03 tensors
03 tensors
 
Forced convection
Forced convectionForced convection
Forced convection
 
Gas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptxGas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptx
 
1. Rock Elasticity
1. Rock Elasticity1. Rock Elasticity
1. Rock Elasticity
 
Thermal instability of incompressible non newtonian viscoelastic fluid with...
Thermal instability of incompressible non   newtonian viscoelastic fluid with...Thermal instability of incompressible non   newtonian viscoelastic fluid with...
Thermal instability of incompressible non newtonian viscoelastic fluid with...
 
Thermal instability of incompressible non newtonian viscoelastic fluid with...
Thermal instability of incompressible non   newtonian viscoelastic fluid with...Thermal instability of incompressible non   newtonian viscoelastic fluid with...
Thermal instability of incompressible non newtonian viscoelastic fluid with...
 
Gas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptxGas Dynamics, Lecture 1.pptx
Gas Dynamics, Lecture 1.pptx
 
CFD
CFDCFD
CFD
 
Part 1 Last weeks summary.pdf
Part 1 Last weeks summary.pdfPart 1 Last weeks summary.pdf
Part 1 Last weeks summary.pdf
 
Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...
Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...
Hydromagnetic turbulent flow past a semi infinite vertical plate subjected to...
 
Fluid Mechanics (2)civil engineers sksks
Fluid Mechanics (2)civil engineers sksksFluid Mechanics (2)civil engineers sksks
Fluid Mechanics (2)civil engineers sksks
 
Fluid Mechanics (2).pdf
Fluid Mechanics (2).pdfFluid Mechanics (2).pdf
Fluid Mechanics (2).pdf
 
Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...
Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...
Boundary Layer Flow in the Vicinity of the Forward Stagnation Point of the Sp...
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1
 
Heat and mass transfer equation; continuity equation; momentum equation;
Heat and mass transfer equation; continuity equation; momentum equation;Heat and mass transfer equation; continuity equation; momentum equation;
Heat and mass transfer equation; continuity equation; momentum equation;
 
NS Equation .pdf
NS Equation .pdfNS Equation .pdf
NS Equation .pdf
 
Chemical Thermodynamics
Chemical ThermodynamicsChemical Thermodynamics
Chemical Thermodynamics
 

Recently uploaded

IT-601 Lecture Notes-UNIT-2.pdf Data Analysis
IT-601 Lecture Notes-UNIT-2.pdf Data AnalysisIT-601 Lecture Notes-UNIT-2.pdf Data Analysis
IT-601 Lecture Notes-UNIT-2.pdf Data AnalysisDr. Radhey Shyam
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdfKamal Acharya
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfAbrahamGadissa
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
 
Fruit shop management system project report.pdf
Fruit shop management system project report.pdfFruit shop management system project report.pdf
Fruit shop management system project report.pdfKamal Acharya
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdfKamal Acharya
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-IVigneshvaranMech
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Krakówbim.edu.pl
 
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...Amil baba
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringC Sai Kiran
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfKamal Acharya
 
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data StreamKIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data StreamDr. Radhey Shyam
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientistgettygaming1
 
Toll tax management system project report..pdf
Toll tax management system project report..pdfToll tax management system project report..pdf
Toll tax management system project report..pdfKamal Acharya
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationRobbie Edward Sayers
 
Online resume builder management system project report.pdf
Online resume builder management system project report.pdfOnline resume builder management system project report.pdf
Online resume builder management system project report.pdfKamal Acharya
 
fluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerfluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerapareshmondalnita
 
Arduino based vehicle speed tracker project
Arduino based vehicle speed tracker projectArduino based vehicle speed tracker project
Arduino based vehicle speed tracker projectRased Khan
 

Recently uploaded (20)

IT-601 Lecture Notes-UNIT-2.pdf Data Analysis
IT-601 Lecture Notes-UNIT-2.pdf Data AnalysisIT-601 Lecture Notes-UNIT-2.pdf Data Analysis
IT-601 Lecture Notes-UNIT-2.pdf Data Analysis
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
Fruit shop management system project report.pdf
Fruit shop management system project report.pdfFruit shop management system project report.pdf
Fruit shop management system project report.pdf
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Kraków
 
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-5 Notes for II-II Mechanical Engineering
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdf
 
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data StreamKIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
Toll tax management system project report..pdf
Toll tax management system project report..pdfToll tax management system project report..pdf
Toll tax management system project report..pdf
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Online resume builder management system project report.pdf
Online resume builder management system project report.pdfOnline resume builder management system project report.pdf
Online resume builder management system project report.pdf
 
fluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerfluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answer
 
Arduino based vehicle speed tracker project
Arduino based vehicle speed tracker projectArduino based vehicle speed tracker project
Arduino based vehicle speed tracker project
 

02 conservation equations

  • 2. 2 • The governing equations include the following conservation laws of physics: – Conservation of mass. – Newton’s second law: the change of momentum equals the sum of forces on a fluid particle. – First law of thermodynamics (conservation of energy): rate of change of energy equals the sum of rate of heat addition to and work done on fluid particle. • The fluid is treated as a continuum. For length scales of, say, 1µm and larger, the molecular structure and motions may be ignored. Governing equations
  • 3. 3 Lagrangian vs. Eulerian description A fluid flow field can be thought of as being comprised of a large number of finite sized fluid particles which have mass, momentum, internal energy, and other properties. Mathematical laws can then be written for each fluid particle. This is the Lagrangian description of fluid motion. Another view of fluid motion is the Eulerian description. In the Eulerian description of fluid motion, we consider how flow properties change at a fluid element that is fixed in space and time (x,y,z,t), rather than following individual fluid particles. Governing equations can be derived using each method and converted to the other form.
  • 4. 4 Fluid element and properties • The behavior of the fluid is described in terms of macroscopic properties: – Velocity u. – Pressure p. – Density ρ. – Temperature T. – Energy E. • Typically ignore (x,y,z,t) in the notation. • Properties are averages of a sufficiently large number of molecules. • A fluid element can be thought of as the smallest volume for which the continuum assumption is valid. x y z δδδδy δδδδx δδδδz(x,y,z) Fluid element for conservation laws Faces are labeled North, East, West, South, Top and Bottom 1 1 2 2 W E p p p p x p p x x x δ δ ∂ ∂ = − = + ∂ ∂ Properties at faces are expressed as first two terms of a Taylor series expansion, e.g. for p: and
  • 5. 5 Mass balance • Rate of increase of mass in fluid element equals the net rate of flow of mass into element. • Rate of increase is: • The inflows (positive) and outflows (negative) are shown here: zyx t zyx t δδδρδδρδ ∂ ∂= ∂ ∂ )( x y z ( ) 1 . 2 w w z x y z ρ ρ δ δ δ ∂  +  ∂  ( ) 1 . 2 v v y x z y ρ ρ δ δ δ  ∂ +  ∂  zyx x u u δδδ ρ ρ       ∂ ∂ − 2 1 . )( zxy y v v δδδ ρ ρ       ∂ ∂ − 2 1 . )( yxz z w w δδδ ρ ρ       ∂ ∂ − 2 1 . )( ( ) 1 . 2 u u x y z x ρ ρ δ δ δ ∂  +  ∂ 
  • 6. 6 Continuity equation • Summing all terms in the previous slide and dividing by the volume δxδyδz results in: • In vector notation: • For incompressible fluids ∂ρ/∂ t = 0, and the equation becomes: div u = 0. • Alternative ways to write this: and 0)()()( = ∂ ∂+ ∂ ∂+ ∂ ∂+ ∂ ∂ z w y v x u t ρρρρ 0)( =+ ∂ ∂ uρρ div t Change in density Net flow of mass across boundaries Convective term 0= ∂ ∂+ ∂ ∂+ ∂ ∂ z w y v x u 0= ∂ ∂ i i x u
  • 7. 7 Different forms of the continuity equation formonConservati formIntegral dV t SV 0=⋅+ ∂ ∂ ∫∫∫∫∫ dSUρρ formonconservatiNon formIntegral dV Dt D V − =∫∫∫ 0ρ formonConservati formalDifferenti t 0)( =⋅∇+ ∂ ∂ Uρ ρ formonconservatiNon formalDifferenti Dt D − =⋅∇+ 0Uρ ρ Infinitesimally small element fixed in space Infinitesimally small fluid element of fixed mass (“fluid particle”) moving with the flow Finite control volume fixed in space Finite control volume fixed mass moving with flow U
  • 8. 8 Rate of change for a fluid particle • Terminology: fluid element is a volume stationary in space, and a fluid particle is a volume of fluid moving with the flow. • A moving fluid particle experiences two rates of changes: – Change due to changes in the fluid as a function of time. – Change due to the fact that it moves to a different location in the fluid with different conditions. • The sum of these two rates of changes for a property per unit mass φ is called the total or substantive derivative Dφ /Dt: • With dx/dt=u, dy/dt=v, dz/dt=w, this results in: dt dz zdt dy ydt dx xtDt D ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ = φφφφφ φ φφ grad tDt D .u+ ∂ ∂ =
  • 9. 9 Rate of change for a stationary fluid element • In most cases we are interested in the changes of a flow property for a fluid element, or fluid volume, that is stationary in space. • However, some equations are easier derived for fluid particles. For a moving fluid particle, the total derivative per unit volume of this property φ is given by: • For a fluid element, for an arbitrary conserved property φ:       + ∂ ∂ = φ φ ρ φ ρ grad tDt D .u 0)( =+ ∂ ∂ uρρ div t 0)( )( =+ ∂ ∂ uρφ ρφ div t Continuity equation Arbitrary property (for moving fluid particle) (for given location in space)
  • 10. 10 Dt D div t grad t div t φ ρρ ρ φφ φ ρρφ ρφ =    + ∂ ∂ +    + ∂ ∂ =+ ∂ ∂ )(.)( )( uuu zero because of continuity Dt D div t φ ρρφ ρφ =+ ∂ ∂ )( )( u Rate of increase of φφφφ of fluid element Net rate of flow of φφφφ out of fluid element Rate of increase of φφφφ for a fluid particle = Fluid particle and fluid element • We can derive the relationship between the equations for a fluid particle (Lagrangian) and a fluid element (Eulerian) as follows:
  • 11. 11 To remember so far • We need to derive conservation equations that we can solve to calculate fluid velocities and other properties. • These equations can be derived either for a fluid particle that is moving with the flow (Lagrangian) or for a fluid element that is stationary in space (Eulerian). • For CFD purposes we need them in Eulerian form, but (according to the book) they are somewhat easier to derive in Lagrangian form. • Luckily, when we derive equations for a property φ in one form, we can convert them to the other form using the relationship shown on the bottom in the previous slide.
  • 12. 12 Relevant entries for Φ x-momentum u Dt Du ρ )( )( uudiv t u ρ ρ + ∂ ∂ y-momentum v Dt Dv ρ )( )( uvdiv t v ρ ρ + ∂ ∂ z-momentum w Dt Dw ρ )( )( uwdiv t w ρ ρ + ∂ ∂ Energy E Dt DE ρ )( )( uEdiv t E ρ ρ + ∂ ∂
  • 13. 13 Momentum equation in three dimensions • We will first derive conservation equations for momentum and energy for fluid particles. Next we will use the above relationships to transform those to an Eulerian frame (for fluid elements). • We start with deriving the momentum equations. • Newton’s second law: rate of change of momentum equals sum of forces. • Rate of increase of x-, y-, and z-momentum: • Forces on fluid particles are: – Surface forces such as pressure and viscous forces. – Body forces, which act on a volume, such as gravity, centrifugal, Coriolis, and electromagnetic forces. Dt Dw Dt Dv Dt Du ρρρ
  • 14. 14 Viscous stresses • Stresses are forces per area. Unit is N/m2 or Pa. • Viscous stresses denoted by τ. • Suffix notation τij is used to indicate direction. • Nine stress components. – τxx, τyy, τzz are normal stresses. E.g. τzz is the stress in the z- direction on a z-plane. – Other stresses are shear stresses. E.g. τzy is the stress in the y-direction on a z-plane. • Forces aligned with the direction of a coordinate axis are positive. Opposite direction is negative.
  • 15. 15 Forces in the x-direction x z y zyx x p p δδδ ) 2 1 .( ∂ ∂ +−zyx x p p δδδ ) 2 1 .( ∂ ∂ − zyz z zx zx δδδ τ τ ) 2 1 .( ∂ ∂ + yxz z zx zx δδδ τ τ ) 2 1 .( ∂ ∂ −− zxy y yx yx δδδ τ τ ) 2 1 .( ∂ ∂ −−zxy y yx yx δδδ τ τ ) 2 1 .( ∂ ∂ + zyx x xx xx δδδ τ τ ) 2 1 .( ∂ ∂ −− zyx x xx xx δδδ τ τ ) 2 1 .( ∂ ∂ + Net force in the x-direction is the sum of all the force components in that direction.
  • 16. 16 Momentum equation • Set the rate of change of x-momentum for a fluid particle Du/Dt equal to: – the sum of the forces due to surface stresses shown in the previous slide, plus – the body forces. These are usually lumped together into a source term SM: – p is a compressive stress and τxx is a tensile stress. • Similarly for y- and z-momentum: Mx zxyxxx S zyx p Dt Du + ∂ ∂ + ∂ ∂ + ∂ +−∂ = τττ ρ )( My zyyyxy S zy p xDt Dv + ∂ ∂ + ∂ +−∂ + ∂ ∂ = τττ ρ )( Mz zzyzxz S z p yxDt Dw + ∂ +−∂ + ∂ ∂ + ∂ ∂ = )( τττ ρ
  • 17. 17 Energy equation • First law of thermodynamics: rate of change of energy of a fluid particle is equal to the rate of heat addition plus the rate of work done. • Rate of increase of energy is ρDE/Dt. • Energy E = i + ½ (u2+v2+w2). • Here, i is the internal (thermal energy). • ½ (u2+v2+w2) is the kinetic energy. • Potential energy (gravitation) is usually treated separately and included as a source term. • We will derive the energy equation by setting the total derivative equal to the change in energy as a result of work done by viscous stresses and the net heat conduction. • Next we will subtract the kinetic energy equation to arrive at a conservation equation for the internal energy.
  • 18. 18 zyx x up up δδδ ) 2 1 . )( ( ∂ ∂ +− Work done by surface stresses in x-direction x z y zyx x up up δδδ ) 2 1 . )( ( ∂ ∂ − zyz z u u zx zx δδδ τ τ ) 2 1 . )( ( ∂ ∂ + yxz z u u zx zx δδδ τ τ ) 2 1 . )( ( ∂ ∂ −− zxy y u u yx yx δδδ τ τ ) 2 1 . )( ( ∂ ∂ −−zxy y u u yx yx δδδ τ τ ) 2 1 . )( ( ∂ ∂ + zyx x u u xx xx δδδ τ τ ) 2 1 . )( ( ∂ ∂ −− zyx x u u xx xx δδδ τ τ ) 2 1 . )( ( ∂ ∂ + Work done is force times velocity.
  • 19. 19 Work done by surface stresses • The total rate of work done by surface stresses is calculated as follows: – For work done by x-components of stresses add all terms in the previous slide. – Do the same for the y- and z-components. • Add all and divide by δxδyδz to get the work done per unit volume by the surface stresses: z u y w x w z v y v x v z u y u x u pdiv zzyzxzzyyy xyzxyxxx ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ +− )()()()()( )()()()( )( τττττ ττττ u
  • 20. 20 Energy flux due to heat conduction x z y yxz z q q z z δδδ ) 2 1 .( ∂ ∂ + yxz z q q z z δδδ ) 2 1 .( ∂ ∂ − zyx x q q x x δδδ ) 2 1 .( ∂ ∂ +zyx x q q x x δδδ ) 2 1 .( ∂ ∂ − zxy y q q y y δδδ ) 2 1 .( ∂ ∂ + zxy y q q y y δδδ ) 2 1 .( ∂ ∂ − The heat flux vector q has three components, qx, qy, and qz.
  • 21. 21 Energy flux due to heat conduction • Summing all terms and dividing by δxδyδz gives the net rate of heat transfer to the fluid particle per unit volume: • Fourier’s law of heat conduction relates the heat flux to the local temperature gradient: • In vector form: • Thus, energy flux due to conduction: • This is the final form used in the energy equation. qdiv z q y q x q zyx −= ∂ ∂ − ∂ ∂ − ∂ ∂ − z T kq y T kq x T kq zyx ∂ ∂ −= ∂ ∂ −= ∂ ∂ −= Tgradk−=q )( Tgradkdivdiv =− q
  • 22. 22 Energy equation • Setting the total derivative for the energy in a fluid particle equal to the previously derived work and energy flux terms, results in the following energy equation: • Note that we also added a source term SE that includes sources (potential energy, sources due to heat production from chemical reactions, etc.). E zzyzxzzyyy xyzxyxxx STgradkdiv z u y w x w z v y v x v z u y u x u pdiv Dt DE ++    ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ +    ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ +−= )( )()()()()( )()()()( )( τττττ ττττ ρ u
  • 23. 23 Kinetic energy equation • Separately, we can derive a conservation equation for the kinetic energy of the fluid. • In order to do this, we multiply the u-momentum equation by u, the v-momentum equation by v, and the w-momentum equation by w. We then add the results together. • This results in the following equation for the kinetic energy: M zzyzxzzyyyxy zxyxxx zyx w zyx v zyx upgrad Dt wvuD Su u . . )]([ 222 2 1 +      ∂ ∂ + ∂ ∂ + ∂ ∂ +      ∂ ∂ + ∂ ∂ + ∂ ∂ +       ∂ ∂ + ∂ ∂ + ∂ ∂ +−= ++ ττττττ τττ ρ
  • 24. 24 Internal energy equation • Subtract the kinetic energy equation from the energy equation. • Define a new source term for the internal energy as Si = SE - u.SM. This results in: i zzyzxzzyyy xyzxyxxx STgradkdiv z u y w x w z v y v x v z u y u x u divp Dt Di ++    ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ +    ∂ ∂ + ∂ ∂ + ∂ ∂ + ∂ ∂ +−= )( τττττ ττττρ u
  • 25. 25 Enthalpy equation • An often used alternative form of the energy equation is the total enthalpy equation. – Specific enthalpy h = i + p/ρ. – Total enthalpy h0 = h + ½ (u2+v2+w2) = E + p/ρ. 0 0 ( ) ( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( )( ) ( ) yx xyxx zx yy zy yzxz zz h h div h div k grad T t u vu u x y z x v v ww u y z x y z S ρ ρ τ ττ τ τ τ ττ τ ∂ + = ∂ ∂ ∂∂ ∂ + + + + ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ + + + + + ∂ ∂ ∂ ∂ ∂  + u
  • 26. 26 Equations of state • Fluid motion is described by five partial differential equations for mass, momentum, and energy. • Amongst the unknowns are four thermodynamic variables: ρ, p, i, and T. • We will assume thermodynamic equilibrium, i.e. that the time it takes for a fluid particle to adjust to new conditions is short relative to the timescale of the flow. • We add two equations of state using the two state variables ρ and T: p=p(ρ,T) and i=i(ρ,T). • For a perfect gas, these become: p=ρ RT and i=CvT. • At low speeds (e.g. Ma < 0.2), the fluids can be considered incompressible. There is no linkage between the energy equation, and the mass and momentum equation. We then only need to solve for energy if the problem involves heat transfer.
  • 27. 27 Viscous stresses • A model for the viscous stresses τij is required. • We will express the viscous stresses as functions of the local deformation rate (strain rate) tensor. • There are two types of deformation: – Linear deformation rates due to velocity gradients. • Elongating stress components (stretching). • Shearing stress components. – Volumetric deformation rates due to expansion or compression. • All gases and most fluids are isotropic: viscosity is a scalar. • Some fluids have anisotropic viscous stress properties, such as certain polymers and dough. We will not discuss those here.
  • 28. 28 Viscous stress tensor                   − ∂ ∂       ∂ ∂ + ∂ ∂       ∂ ∂ + ∂ ∂       ∂ ∂ + ∂ ∂ − ∂ ∂       ∂ ∂ + ∂ ∂       ∂ ∂ + ∂ ∂       ∂ ∂ + ∂ ∂ − ∂ ∂ =           = u u u τ div z w y w z v x w z u y w z v div y v x v y u x w z u x v y u div x u zzzyzx yzyyyx xzxyxx µµµµ µµµµ µµµµ τττ τττ τττ 3 2 2 3 2 2 3 2 2 • Using an isotropic (first) dynamic viscosity µ for the linear deformations and a second viscosity λ=-2/3 µ for the volumetric deformations results in: Note: div u = 0 for incompressible fluids.
  • 29. 29 Navier-Stokes equations • Including the viscous stress terms in the momentum balance and rearranging, results in the Navier-Stokes equations: MxSugraddiv x p udiv t u momentumx ++ ∂ ∂ −=+ ∂ ∂ − )()( )( : µρ ρ u MySvgraddiv y p vdiv t v momentumy ++ ∂ ∂ −=+ ∂ ∂ − )()( )( : µρ ρ u MzSwgraddiv z p wdiv t w momentumz ++ ∂ ∂ −=+ ∂ ∂ − )()( )( : µρ ρ u
  • 30. 30 Viscous dissipation • Similarly, substituting the stresses in the internal energy equation and rearranging results in: • Here Φ is the viscous dissipation term. This term is always positive and describes the conversion of mechanical energy to heat. iSTgradkdivdivpidiv t i energyInternal +Φ++−=+ ∂ ∂ )()( )( : uuρ ρ 2 22 2222 )( 3 2 2 udiv y w z v x w z u x v y u z w y v x u µ µ −           ∂ ∂ + ∂ ∂ +      ∂ ∂ + ∂ ∂ +       ∂ ∂ + ∂ ∂ +                   ∂ ∂ +      ∂ ∂ +      ∂ ∂ =Φ
  • 31. 31 Summary of equations in conservation form 0)(: =+ ∂ ∂ uρ ρ div t Mass MxSugraddiv x p udiv t u momentumx ++ ∂ ∂ −=+ ∂ ∂ − )()( )( : µρ ρ u MySvgraddiv y p vdiv t v momentumy ++ ∂ ∂ −=+ ∂ ∂ − )()( )( : µρ ρ u MzSwgraddiv z p wdiv t w momentumz ++ ∂ ∂ −=+ ∂ ∂ − )()( )( : µρ ρ u iSTgradkdivdivpidiv t i energyInternal +Φ++−=+ ∂ ∂ )()( )( : uuρ ρ TCiandRTpgasperfectforge TiiandTppstateofEquations v== == ρ ρρ :.. ),(),(:
  • 32. 32 • The system of equations is now closed, with seven equations for seven variables: pressure, three velocity components, enthalpy, temperature, and density. • There are significant commonalities between the various equations. Using a general variable φ, the conservative form of all fluid flow equations can usefully be written in the following form: • Or, in words: General transport equations ( ) ( ) ( ) φφρφ ρφ Sgraddivdiv t +Γ=+ ∂ ∂ u Rate of increase of φφφφ of fluid element Net rate of flow of φφφφ out of fluid element (convection) Rate of increase of φφφφ due to diffusion Rate of increase of φφφφ due to sources =+ +
  • 33. 33 Integral form • The key step of the finite volume method is to integrate the differential equation shown in the previous slide, and then to apply Gauss’ divergence theorem, which for a vector a states: • This then leads to the following general conservation equation in integral form: • This is the actual form of the conservation equations solved by finite volume based CFD programs to calculate the flow pattern and associated scalar fields. ∫∫ ⋅= ACV dAdVdiv ana dVSdAgraddAdV t CVAACV ∫∫∫∫ +Γ⋅=⋅+      ∂ ∂ φφρφρφ )()( nun Rate of increase of φφφφ Net rate of decrease of φφφφ due to convection across boundaries Net rate of increase of φφφφ due to diffusion across boundaries Net rate of creation of φφφφ =+ +