real flows continued - michigan technological universityfmorriso/cm310/fluids_lecture_14.pdf ·...

17
1 © Faith A. Morrison, Michigan Tech U. Real Flows (continued) So far we have talked about internal flows •ideal flows (Poiseuille flow in a tube) •real flows (turbulent flow in a tube) Strategy for handling real flows: Dimensional analysis and data correlations How did we arrive at correlations? non-Dimensionalize ideal flow; use to guide expts on similar non-ideal flows; take data; develop empirical correlations from data What do we do with the correlations? use in MEB; calculate pressure-drop flow-rate relations Empirical data correlations friction factor (P) versus Re (Q) in a pipe © Faith A. Morrison, Michigan Tech U. 4000 Re 4 . 0 Re log 0 . 4 1 turbulent 10 Re 4000 Re 079 . 0 turbulent 2100 Re Re 16 laminar 10 5 25 . 0 = = < = f f f f correlation equations (flow in a pipe) (Geankoplis 3rd ed) from Denn, Process Fluid Mechanics, Prentice-Hall 1980; p35 graphical correlations (flow in a pipe)

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1

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

So far we have talked about internal flows

•ideal flows (Poiseuille flow in a tube)

•real flows (turbulent flow in a tube)

Strategy for handling real flows: Dimensional analysis and data correlations

How did we arrive at correlations? non-Dimensionalize ideal flow; use to guide expts on similar non-ideal flows; take data; develop empirical correlations from data

What do we do with the correlations? use in MEB; calculate pressure-drop flow-rate relations

Empirical data correlationsfriction factor (∆P) versus Re (Q) in a pipe

© Faith A. Morrison, Michigan Tech U.

4000Re4.0Relog0.41

turbulent

10Re4000Re079.0turbulent

2100ReRe

16laminar

10

525.0

≥−=

≤≤=

<=−

ff

f

f

correlation equations(flow in a pipe)

(Geankoplis 3rd ed)

from Denn, Process Fluid Mechanics, Prentice-Hall 1980; p35

graphical correlations(flow in a pipe)

2

•rough pipes - need an additional dimensionless group

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

k - characteristic size of the surface roughness

D

k- relative roughness (dimensionless roughness)

28.2Re

67.4log0.4

110 +

+−=

fD

k

f

Colebrook correlation (Re>4000)

Other internal flows:

k

© Faith A. Morrison, Michigan Tech U.

Drawn tubing (brass,lead, glass, etc.) 1.5x10-3

Commercial steel or wrought iron 0.05Asphalted cast iron 0.12Galvanized iron 0.15Cast iron 0.46Wood stave 0.2-.9Concrete 0.3-3Riveted steel 0.9-9

Material k (mm)

from Denn, Process Fluid Mechanics, Prentice-Hall 1980; p46

Surface Roughness for Various Materials

Real Flows (continued)

3

( ) HH RD 4perimeter wetted

)area sectionalcross(4 =−≡

© Faith A. Morrison, Michigan Tech U.

Empirically, it is found that f vs. Re correlations for circularconduits matches the data for noncircular conduits if D is replaced with equivalent hydraulic diameter DH.

Hydraulic radiusEquivalent hydraulic

diameter

Real Flows (continued)

•flow through noncircular conduitsOther internal flows:

© Faith A. Morrison, Michigan Tech U.

Flow Through Noncircular Conduits

from Denn, Process Fluid Mechanics, Prentice-Hall 1980; p48

f

Re

•Flow through equilateral triangular conduit

•f and Re calculated with DH

•solid lines are for circular pipes

Note: for some shapes the correlation is somewhat different than the circular pipe

correlation; see Perry’s Handbook

Real Flows (continued)

4

© Faith A. Morrison, Michigan Tech U.

Non-Circular Cross-sections have application in the new field of microfluidics

© Faith A. Morrison, Michigan Tech U.

Chemical & Engineering News, 10 Sept 2007, p14

5

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

•entry flow in pipes

•flow through a contraction

•flow through an expansion

•flow through a Venturi meter

•flow through a butterfly valve

•etc.

Other internal flows:

see Perry’s Handbook

calculate drag - superficial velocity relations

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

Now, we will talk about external flows

•ideal flows (flow around a sphere)

•real flows (turbulent flow around a sphere, other obstacles)

Strategy for handling real flows: Dimensional analysis and data correlations

How did we arrive at correlations? non-Dimensionalize ideal flow; use to guide expts on similar non-ideal flows; take data; develop empirical correlations from data

What do we do with the correlations?

6

© Faith A. Morrison, Michigan Tech U.

y

z(r,θ,φ)

θ

flow

g

Steady flow of an incompressible, Newtonian

fluid around a sphere

Creeping Flow

•spherical coordinates

•symmetry in the φ dir

•calculate v and drag force on sphere

•neglect inertia

•upstream ∞= vvz

(equivalent to sphere falling through a liquid)

© Faith A. Morrison, Michigan Tech U.

Steady flow of an incompressible,

Newtonian fluid around a sphere

Creeping Flow

θφ

θ

r

rvv

v

=

0 θφ

θθ

r

gg

g

−=

0sincos

),( θrPP =

gvPvvt

v ρµρ +∇+−∇=

∇⋅+

∂∂ 2

steady state

neglect inertia

SOLVE

BC1: no slip at sphere surfaceBC2: velocity goes to far from sphere∞v

Eqn of Motion:

Eqn of Continuity:

( )0

sin

sin

11 2

2 =

∂∂+

∂∂

θθ

θθv

rr

vr

rr

7

© Faith A. Morrison, Michigan Tech U.

SOLUTION: Creeping Flow around a sphere

θµθρ cos2

3cos

2

0

−−= ∞

r

R

R

vgrPP

( )[ ]Tvv ∇+∇−= µτ all the stresses can be calculated from v

θφ

θ

θ

r

r

R

r

Rv

r

R

r

Rv

v

−−−

+−

= ∞

0

sin41

43

1

cos21

23

1

3

3

0

Bird, Stewart, Lightfoot, Transport Phenomena, Wiley, 1960, p57; complete solution in Denn

evaluate at the surface of the

sphere

( )[ ]∫ ∫ =−−⋅=

π π

φθθτ2

0 0

2 sinˆ ddRIPrFRr

© Faith A. Morrison, Michigan Tech U.

SOLUTION: Creeping Flow around a sphere

What is the total z-direction force on the sphere?

total stress at a point in

the fluid

vector stress on a µscopic surface of

unit normal r̂

integrate over the entire

sphere surface

total vector force on sphere

Fk ⋅= ˆ

total z-direction

force on the sphere

8

© Faith A. Morrison, Michigan Tech U.

Force on a sphere (creeping flow limit)

∞∞ ++==⋅ RvRvgRFFk z πµπµρπ 4234ˆ 3

buoyant force

comes from pressure

friction drag

kinetic termsstationary terms (=0 when v=0)

Stokes law:kinetic force ∞=≡ RvFkin πµ6

comes from shear stresses

form drag

Bird, Stewart, Lightfoot, Transport Phenomena, Wiley, 1960, p59

© Faith A. Morrison, Michigan Tech U.

Steady flow of an incompressible,

Newtonian fluid around a sphere

Turbulent Flow

**2*******

* 1Re1

gFr

vPvvt

v +∇+−∇=

∇⋅+

∂∂

•Nondimensionalize eqns of change:

•Nondimensionalize eqn for Fkin:

define dimensionless kinetic force

==

∞2

2,

21

4v

D

FCf kineticz

D

ρπ

•conclude f=f(Re) or CD=CD(Re)

drag coefficient

•take data, plot, develop correlations

9

© Faith A. Morrison, Michigan Tech U.

Steady flow of an incompressible,

Newtonian fluid around a sphere

Turbulent Flow( )

Re

24

21

4

6

22 =

==

vD

RvCf D

ρππµ

•take data, plot, develop correlations

Laminar flow: Stokes law

Turbulent flow: Calculate CD from terminal velocity of a falling sphere (see BSL p182; Denn p56)

( )2

sphere

3

4

−==

v

DgCf D ρ

ρρ all measurable quantities

© Faith A. Morrison, Michigan Tech U.

Steady flow of an incompressible, Newtonian fluid around a sphere

McCabe et al., Unit Ops of Chem Eng, 5th edition, p147

Re

24

graphical correlation

10

© Faith A. Morrison, Michigan Tech U.

Steady flow of an incompressible, Newtonian fluid around a sphere

BSL, p194

correlation equations

000,200Re50044.0turbulent

500Re2Re5.18turbulent

10.0ReRe

24laminar

60.0

≤≤=

≤≤=

<=−

f

f

f

•use correlations in engineering practice•particle settling

•entrained droplets in distillation columns

•particle separators

•drop coalescence

(See Denn, BSL, Perry’s)

•rough spheres

•objects of other shapes

•flows past walls

•airplane flight

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

Other external flows:

11

internal flows (flow in a conduit)

external flow (around obstacles)

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

Now, we’ve done two classes of real flows:

We can apply the techniques we have learned to more complex engineering flows.

We will discuss two examples briefly:

1. Flow through packed beds

2. Fluidized beds

•ion exchange columns•packed bed reactors•packed distillation columns•filtration•flow through soil (environmental issues, enhanced oil recovery)•fluidized bed reactors

© Faith A. Morrison, Michigan Tech U.

Flow through Packed Beds

voids

voids

solids

solids

solids

=−

bed ofsection -xsolid area sectional-x

1

bed ofsection -x voidsarea sectional-x

ε

ε

If the hydraulic diameter DH concept works for this flow, cross-section then we already know f(Re) from pipe flow.

12

What is pressure-drop versus flow rate for flow through an unconsolidated bed of monodisperse spherical particles?

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

More Complex Applications I: Flow through Packed Beds

flowDp=sphere diameter

or for irregular particles:

v

p

a

D 1

particles of area surface

particles of volume

6≡=

We will choose to model the flow resistance as flow through tortuous conduits with equivalent hydraulic diameter DH=4RH.

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) Flow through Packed Beds

Hagen-Poiseuille equation:We will choose to model the flow resistance as flow through tortuous conduits with equivalent hydraulic diameter DH=4RH.

( )L

DPPv L

µ32

20 −=

average velocity in the

interstitial regions

bed entire ofsection -x

voidsof area sectional-x

0Q

v

Qv

=

εvvv =

=

bed ofsection -x

voidsarea sectional-x0

void fraction

superficial velocity

BUT, what are DH

and average velocity in terms of things

we know about the bed?

ε0v

v =

13

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) Flow through Packed Beds

==

surface wettedtotal

flowfor available volume

4 HH R

D

BUT, what is DH in terms of things we know about the bed?

)1(6)1(bed of volume

surface wettedbed of volume

voidsof volume

εε

εε

−=

−=

= p

v

D

a

from Denn, Process Fluid Mechanics, Prentice-Hall

1980; p69

bed of volume

particles of volume

particles of volume

surface particle

( )εε

−=

13

2 pH

DD

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) Flow through Packed Beds

Now, put it all together . . .

from Denn, Process Fluid Mechanics, Prentice-Hall

1980; p69

ε0v

v = ( )εε

−=

13

2 pH

DD

( )L

DPPv L

µ32

20 −=

( )

−=

20

0

21

41

vDL

PPf

p

L

ρ

analogous to f for for pipes we write:

⇒ ( )L

PP

D

vf L

p

−= 0202 ρ

14

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) Flow through Packed Beds

Now, put it all together . . .

from Denn, Process Fluid Mechanics, Prentice-Hall

1980; p692

2200

)1(36 εµερ

ε −= pDvfv

)1(

2

72

1)1(

3

0 εεε

ρµ

−=− f

Dv p

Now we follow convention and

define this as 1/Rep

and this as fp

pp

f721

Re1 =⇒

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) Flow through Packed Beds

pp

f721

Re1 =

When we check this relationship with experimental data we find that a better fit can be obtained with,

pp

f=+ 75.1Re150

Ergun Equation

A data correlation for pressure-drop/flow rate data for flow through packed beds.

from Denn, Process Fluid Mechanics, Prentice-Hall

1980; p69

)1(2

)1(Re

3

0

εε

εµρ

−≡

−≡

ff

Dv

p

pp

15

pf

pRe

© Faith A. Morrison, Michigan Tech U.

Flow through Packed Beds

from Denn, Process Fluid Mechanics, Prentice-Hall 1980; p709; original source Ergun, Chem Eng. Progr., 48, 93 (1952).

pp

f=+ 75.1Re150

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) Flow through Packed Beds

What did we do?

We assumed the same functional form for ∆P and Q as laminar pipe flow with,

•hydraulic diameter substituted for diameter

•hydraulic diameter expressed in measureables

•resulting functional form was fit to experimental data (new Re and f defined for this system)

•scaling was validated by the fit to the experimental data

•we have obtained a correlation that will allow us to do design calculations on packed beds

16

Can we use the Ergun equation (for pressure drop versus flow rate in a packed bed) to calculate the minimum superficial velocity at which a bed becomes fluidized?

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued)

More Complex Applications II: Fluidized beds

flow

In a fluidized bed reactor, the flow rate of the gas is adjusted to

overcome the force of gravity and fluidize a bed of particles; in this

state heat and mass transfer is good due to the chaotic motion.

∞v

pp

f=+ 75.1Re150

The ∆P vs Qrelationship can

come from the Ergun eqn at small Rep

neglect

Now we perform a force balance on the bed:

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) More Complex Applications II: Fluidized beds

pressure(Ergun eqn)

gravity

buoyancy

AP∆

net effect of gravity and

buoyancy is:

( )( )ALgp ερρ −− 1

( )ALε−1bed volume =

When the forces balance, incipient

fluidization

17

© Faith A. Morrison, Michigan Tech U.

Real Flows (continued) More Complex Applications II: Fluidized beds

( )( )ALgAP p ερρ −−=∆ 1

When the forces balance, incipient fluidization

pp

f=Re150

eliminate ∆P; solve for v0

( )( )εµ

ερρ−

−=

1150

32

0pp gD

v velocity at the point of incipient fluidization

© Faith A. Morrison, Michigan Tech U.

Real Flows SUMMARY

internal flows (pipes, pumping)

external flow (packed beds, fluidized bed reactors)

REAL ENGINEERING

UNIT OPERATIONS

internal flows (Poiseuille flow in a pipe)

external flow (flow around a sphere)

IDEAL FLOWS

internal flows (f vs Re)

external flow (CD vs Re)

REAL FLOWS

nondimensionalization

µscopic balances

apply engineering approximations using reasonable concepts and correlations obtained from experiments.