last time, unsteady state heat transfer
TRANSCRIPT
Lecture 7 4/24/2019
1
Ā© Faith A. Morrison, Michigan Tech U.1
Last time, Unsteady State Heat Transfer
ā20
ā10
0
10
20
30
40
ā2 0 2 4 6 8 10
x, ft
0.1 hours
0.2
0.5
1
2
5
10
20
50
100
200
500
8šš”
increasing time, t
32 š¹
š š„, š”
š š¹
š„, šš”
Ā© Faith A. Morrison, Michigan Tech U.2
Solution Summary:
Answer:š” 509 āšš¢šš 21 ššš¦š
Lecture 7 4/24/2019
2
non-dimensional variables:
position: temperature:
Ā© Faith A. Morrison, Michigan Tech U.
Non-dimensionalize (eqns, BCs)
Dimensional Analysis, Unsteady State Convection
3
š”ā ā”š¼š”š·
time:
š„ā ā”š„š·
š ā”š šš š
This dimensionless time is called Fourier number Fo.
x
y
oTTt 0
oTTt 0
1
0TT
t 0
( , )
t
T T x t
x
y
Fo Fourier Numberš¼š”š·
šššš”
š¼š ššš„
š ššššš„
āš“ š š
Ā© Faith A. Morrison, Michigan Tech U.4
In dimensionless form, we see that this problem reduces to
š šš„š·
, Fo, Bi
Dimensionless quantities:
š
š”ā Fo
š„ā
Bi
Biot number (pronounced BEEāOH)Ratio of heat transfer at the boundary to heat transfer within the solid. This is a transport issue.
Fourier number (dimensionless time)
Y (dimensionless temperature interval)
Initial condition:
Boundary conditions:
Unsteady State Heat Conduction in a SemiāInfinite Slab x
y
oTTt 0
oTTt 0
1
0TT
t 0
( , )
t
T T x t
x
y1D Heat Transfer: Unsteady State
temperature:
š”ā 0 š 1 ā š„ā
š„ā ā š 1 ā š”ā
š„ā 0šššš„ā Bi š š”ā 0
Lecture 7 4/24/2019
3
Ā© Faith A. Morrison, Michigan Tech U.5
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
Ā© Faith A. Morrison, Michigan Tech U.6
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the temperature is uniform in the body, we can do a macroscopic energy
balance to solve many problems of interest. This is called a ālumped parameter analysis.ā
Lecture 7 4/24/2019
4
Ā© Faith A. Morrison, Michigan Tech U.7
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the wall temperature and the bulk temperature are equal, the microscopic energy balance is easier to carry out (temperature boundary conditions).
Ā© Faith A. Morrison, Michigan Tech U.8
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When both processes affect the outcomes, the full solution may be necessary. For uniform starting
temperatures, the solutions are published.
Lecture 7 4/24/2019
5
Ā© Faith A. Morrison, Michigan Tech U.9
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the temperature is uniform in the body, we can do a macroscopic energy
balance to solve many problems of interest. This is called a ālumped parameter analysis.ā
1. Lumped parameter analysis
š· ā”volume
areaš
š“
Low Bi:high š, low ā
At low Bi, the temperature is uniform in a finite body; heat
transfer is limited by rate of heat transfer to the surface (ā).
This is always the š· we use for the lumped parameter analysis. We use
different š· in other cases, however.
Ā© Faith A. Morrison, Michigan Tech U.10
This topic is part of a more general subject:
Lecture 7 4/24/2019
6
Example: Quench cooling of a manufactured part.
If a piece of steel with š š is dropped into a large, well stirred reservoir of fluid at bulk temperature š , what is the temperature of the steel as a function of time?
ā¢ š large, which means that there is no internal resistance to heat transfer in the part
ā¢ Therefore, we are NOT calculating a temperature profile (internal š is uniform)
ā¢ ā Use Unsteady, Macroscopic Energy Balance
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Low Biot Number
Fluid temperature š
š š š”
š, š, š¶
11
Unsteady Macroscopic Energy Balance
see Felder and Rousseau or Himmelblau
tW ons ,
tQin
tgzv
Hmin
in
2Ė
2
tgzv
Hmout
out
2Ė
2
amount of energy that enters with the flow between tand š” Īš”
amount of energy that exits with the flow between t and š” Īš”
balance over time interval Īš”
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Low Biot Number
. .
Macroscopic control volume
12
Lecture 7 4/24/2019
7
Unsteady Macroscopic Energy Balance
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Low Biot Number
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
accumulation input output
13
Background: pages.mtu.edu/~fmorriso/cm310/IFMWebAppendixDMicroEBalanceMorrison.pdf
Unsteady Macroscopic Energy Balance
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Low Biot Number
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
accumulation input output
14
How do we apply this balance to our current problem?
Lecture 7 4/24/2019
8
Unsteady Macroscopic Energy Balance
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Low Biot Number
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
accumulation input output
15
You try.
Unsteady Macroscopic Energy Balance
For negligible changes in šø and šø , no flow, no phase change, no chemical rxn, and no shafts:
Ā© Faith A. Morrison, Michigan Tech U.
no shafts
šššš”
š
šš š¶šš
šš”Q
Unsteady State Heat Transfer: Low Biot Number
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
š¶ š¶ for liquids, solids
no flownegligible
accumulation input output
16
Lecture 7 4/24/2019
9
Unsteady Macroscopic Energy Balance
For negligible changes in šø and šø , no flow, no phase change, no chemical rxn, and no shafts:
Ā© Faith A. Morrison, Michigan Tech U.
no shafts
šššš”
š
šš š¶šš
šš”Q
Unsteady State Heat Transfer: Low Biot Number
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
š¶ š¶ for liquids, solids
no flownegligible
17
How do we quantify the heat in š ?
Unsteady Macroscopic Energy Balance
Ā© F
aith
A. M
orris
on, M
ichi
gan
Tech
U.
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
pages.mtu.edu/~fmorriso/cm310/IFMWebAppendixDMicroEBalanceMorrison.pdfIncropera and DeWitt, 6th edition p18
š ā š , comes from a variety of sources:
ā¢ Thermal conduction: š šš“
ā¢ Convection heat xfer: š āš“ š š
ā¢ Radiation: š ššš“ š š
ā¢ Electric current: š š¼ š šæ
ā¢ Chemical Reaction: š š š
šenergy
time volume
š Heat into the chosen macroscopic control volume
accumulation input output
18
Lecture 7 4/24/2019
10
Unsteady Macroscopic Energy Balance
Ā© F
aith
A. M
orris
on, M
ichi
gan
Tech
U.
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
pages.mtu.edu/~fmorriso/cm310/IFMWebAppendixDMicroEBalanceMorrison.pdfIncropera and DeWitt, 6th edition p18
š ā š , comes from a variety of sources:
ā¢ Thermal conduction: š šš“
ā¢ Convection heat xfer: š āš“ š š
ā¢ Radiation: š ššš“ š š
ā¢ Electric current: š š¼ š šæ
ā¢ Chemical Reaction: š š š
šenergy
time volume
š Heat into the chosen macroscopic control volume
accumulation input output
19
Signs must match transfer from outside (bulk fluid) to inside (metal)
Unsteady Macroscopic Energy Balance
Ā© Faith A. Morrison, Michigan Tech U.
ā¢ Thermal conduction: ššš ššØ š š»
š š
ā¢ Convection heat xfer: ššš ššØ š»š š»
ā¢ Radiation: ššš šŗššØ š»šššššššš ššššš š»ššššššš
š
ā¢ Electric current: ššš š°šš¹ššššš³
ā¢ Chemical Reaction: ššš šŗšššš½ššš
20
e.g. device held by bracket; a solid phase that extends through boundaries of control volume
e.g. device dropped in stirred liquid; forced air stream flows past, natural convection occurs outside system; phase change at boundary
e.g. device at high temp. exposed to a gas/vacuum; hot enough to produce nat. conv. possibly hot enough for radiation
e.g. if electric current is flowing within the device/control volume/ system
e.g. if a homogeneous reaction is taking place throughout the device/ control volume/system
šøšš ā ššš,šš comes from a variety of sources:
š š š
š¼ššš š¬š,ššš š¬š,ššš
š«šÆ š«š¬š š«š¬š šøšš š¾š,šš
SāB constant: š 5.67610
Lecture 7 4/24/2019
11
Unsteady Macroscopic Energy Balance
Ā© F
aith
A. M
orris
on, M
ichi
gan
Tech
U.
ššš”
š šø , šø , Īš» Īšø Īšø š š ,
accumulation input output
pages.mtu.edu/~fmorriso/cm310/IFMWebAppendixDMicroEBalanceMorrison.pdfIncropera and DeWitt, 6th edition p18
š ā š , comes from a variety of sources:
ā¢ Thermal conduction: š šš“
ā¢ Convection heat xfer: š āš“ š š
ā¢ Radiation: š ššš“ š š
ā¢ Electric current: š š¼ š šæ
ā¢ Chemical Reaction: š š š
šenergy
time volume
x
xxx
š Heat into the chosen macroscopic control volume
accumulation input output
21
Unsteady Macroscopic Energy Balance Applied to cooling steel part:
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Low Biot Number
The heat loss depends on the heat-transfer
coefficient from the part to the environment
The temperature changes in the part are due to the heat
loss
šš š¶šš
šš”Q
Q š“ā š š
š¶ š¶ for liquids, solids 22
Lecture 7 4/24/2019
12
Unsteady Macroscopic Energy Balance Applied to cooling steel part:
Ā© Faith A. Morrison, Michigan Tech U.
The temperature changes in the part are due to the heat
loss
Unsteady State Heat Transfer: Low Biot Number
You solve.
šš š¶šš
šš”Q
23
The heat loss depends on the heat-transfer
coefficient from the part to the environment
Q š“ā š š
Ā© Faith A. Morrison, Michigan Tech U.
š šš š
š
lnš šš š
āš“
šš¶ š š”
Unsteady Macroscopic Energy Balance Applied to cooling steel part:
Unsteady State Heat Transfer: Low Biot Number
š š
24
Lecture 7 4/24/2019
13
Ā© Faith A. Morrison, Michigan Tech U.
š šš š
š
lnš šš š
āš“
šš¶ š š”
Unsteady Macroscopic Energy Balance Applied to cooling steel part:
Unsteady State Heat Transfer: Low Biot Number
š š
25
In dimensionless form?
Ā© Faith A. Morrison, Michigan Tech U.
š šš š
š
Unsteady Macroscopic Energy Balance Applied to cooling steel part:
Unsteady State Heat Transfer: Low Biot Number
āš“š”
šš¶ š
āš
š
šš¶
š“š
š”Bi
š·š¼
š”š·
Bi Fo
thermal diffusivity
š¼ ā”š
šš¶Bi Biot Number
Fo Fourier Number 26
š· ā”volume
areašš“
Lecture 7 4/24/2019
14
Lumped parameter analysis
Ā© Faith A. Morrison, Michigan Tech U.
šš šš š
š Bi Fo
Unsteady Macroscopic Energy Balance Applied to cooling steel part:
Unsteady State Heat Transfer: Low Biot Number
WRF p279
thermal diffusivity
š¼ ā”š
šš¶
š· ā”volume
areašš“
https://en.wikipedia.org/wiki/Lumped_element_model
27
Bi Biot Number
Fo Fourier Number
Lumped parameter analysis:
Ā© Faith A. Morrison, Michigan Tech U.28
Summary
Unsteady State Heat Transfer
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the temperature is uniform in the body, we can do a macroscopic energy
balance to solve many problems of interest. This is called a ālumped parameter analysis.ā
Low Bi: no internal temperature variation ā Lumped parameter analysis (macroscopic energy balance, unsteady); Bi āš/šš“ 0.1
Lecture 7 4/24/2019
15
High Bi:low š, high ā
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the wall temperature and the bulk temperature are equal, the microscopic energy balance is easier to carry out (temperature boundary conditions).
Ā© Faith A. Morrison, Michigan Tech U.29
2. Negligible Surface Resistance
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in
the body.
High Bi:low š, high ā
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the wall temperature and the bulk temperature are equal, the microscopic energy balance is easier to carry out (temperature boundary conditions).
Ā© Faith A. Morrison, Michigan Tech U.30
Negligible Surface Resistance
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in
the body.
We have done many examples with
constant temperature boundary conditions.lim
āš š 0
ā š š
Lecture 7 4/24/2019
16
Ā© Faith A. Morrison, Michigan Tech U.31
Summary
Unsteady State Heat Transfer
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When the wall temperature and the bulk temperature are equal, the microscopic energy balance is easier to carry out (temperature boundary conditions).
Low Bi: no internal temperature variation ā Lumped parameter analysis (macroscopic energy balance, unsteady); Bi āš/šš“ 0.1
High Bi: dominated by internal temperature variation ā solve with temperature boundary conditions; Bi āš· /š(š· varies with the problem)
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to
the surface.
Moderate Bi:nether process dominates
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When both processes affect the outcomes, the full solution may be necessary; for uniform starting temperatures there are charts.
Ā© Faith A. Morrison, Michigan Tech U.32
3. No Mechanism Dominates
Lecture 7 4/24/2019
17
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to
the surface.
Moderate Bi:nether process dominates
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
When both processes affect the outcomes, the full solution may be necessary; for uniform starting temperatures there are charts.
Ā© Faith A. Morrison, Michigan Tech U.33
This is the most complicated set of
cases.
3. No Mechanism Dominates
Example: Measure the convective heat-transfer coefficient for heat being transferred between a fluid and a sphere.
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Intermediate Biot Number
Fluid bulk temperature š
š š š, š”ā¢ We need to devise an experiment
ā¢ Both internal š and external āresistances are important
ā¢ We need to match measurablequantities with calculablequantities
ā¢ ā Microscopic Energy Balance
ā¢ āUncertainty considerations
š, š, š¶
No Mechanism Dominates
34
Lecture 7 4/24/2019
18
?
Example: Measure the convective heat-transfer coefficient for heat being transferred between a fluid and a sphere.
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer: Intermediate Biot Number
Fluid bulk temperature š
š š š, š”ā¢ We need to devise an experiment
ā¢ Both internal š and external āresistances are important
ā¢ We need to match measurablequantities with calculablequantities
ā¢ ā Microscopic Energy Balance
ā¢ āUncertainty considerations
š, š, š¶
No Mechanism Dominates
35
Ā© Faith A. Morrison, Michigan Tech U.36
ā¢ Create an unsteady state heat transfer situationā¦
ā¢ Measure . . .? ā¢ Compare . . .? ā¢ Consider uncertainty in measurements . . . ?
Thinking
Lecture 7 4/24/2019
19
Tācouple measures T(t) at the center of the sphere
š” š”š š
Ā© Faith A. Morrison, Michigan Tech U.
Experiment: Measure š š” at the center of a sphere š 0 :
37
Initially: Suddenly:
š” š”š š š, š” š 0, š”
Unsteady state heat transfer takes place.
Unsteady State Heat Transfer: Intermediate Biot Number
Tācouple measures T(t) at the center of the sphere
š” š”š š
Ā© Faith A. Morrison, Michigan Tech U.
Experiment: Measure š š” at the center of a sphere š 0 :
38
Initially: Suddenly:
š” š”š š š, š” š 0, š”
Unsteady state heat transfer takes place.
š” š š šš¶9.50Eā02 7.46E+002.11Eā01 7.44E+003.09Eā01 7.44E+004.09Eā01 7.57E+005.24Eā01 7.46E+006.23Eā01 7.49E+007.39Eā01 7.53E+008.37Eā01 7.46E+009.54Eā01 7.59E+001.05E+00 7.53E+001.15E+00 7.58E+001.27E+00 7.48E+001.37E+00 7.57E+00ā¦ ā¦
Excel:
Unsteady State Heat Transfer: Intermediate Biot Number
Lecture 7 4/24/2019
20
Ā© Faith A. Morrison, Michigan Tech U.39
Unsteady State Heat Transfer: Intermediate Biot Number
ModelingWhat are the modeling equations?
?
Ā© Faith A. Morrison, Michigan Tech U.40
To determine š:ā¢ Measure centerāpoint temperature as a function of time ā¢ Compare with model predictions, accounting for uncertainty in measurements
ā¢ Deduce ā
Can we meet our objective?
Lecture 7 4/24/2019
21
Ā© Faith A. Morrison, Michigan Tech U.41
Unsteady State Heat Transfer: Intermediate Biot Number
ModelingWhat are the modeling equations?
Ā© Faith A. Morrison, Michigan Tech U.
www.chem.mtu.edu/~fmorriso/cm310/energy2013.pdf
42
Microscopic Energy Balance
Unsteady State Heat Transfer: Intermediate Biot Number
Lecture 7 4/24/2019
22
Ā© Faith A. M
orrison, M
ichigan
Tech U.
Unsteady State Heat Transfer to a Sphere
šššš”
š
šš¶
1š
ššš
ššššš
Boundary conditions:
šš“
ššššš
ā š š šš š ,
šš“
0š 0,
Microscopic energy balance in the sphere:
Initial condition:
43
š šš” 0, āš
āš”
š” 0
ā¢ Unsteady
ā¢ Solid š£ 0
ā¢ š, š symmetry
ā¢ No current, no rxn
ā” š¼
Ā© Faith A. M
orrison, M
ichigan
Tech U.
Unsteady State Heat Transfer to a Sphere
šššš”
š
šš¶
1š
ššš
ššššš
Boundary conditions:
šš“
ššššš
ā š š šš š ,
šš“
0š 0,
Microscopic energy balance in the sphere:
Initial condition:
44
š šš” 0, āš
āš”
š” 0
(āāā means āfor allā)
ā¢ Unsteady
ā¢ Solid š£ 0
ā¢ š, š symmetry
ā¢ No current, no rxn
ā” š¼
Lecture 7 4/24/2019
23
Ā© Faith A. M
orrison, M
ichigan
Tech U.
Unsteady State Heat Transfer to a Sphere
šššš”
š
šš¶
1š
ššš
ššššš
Boundary conditions:
šš“
ššššš
ā š š šš š ,
šš“
0š 0,
Microscopic energy balance in the sphere:
Initial condition:
45
š šš” 0, āš
āš”
š” 0
(āāā means āfor allā)
ā¢ Unsteady
ā¢ Solid š£ 0
ā¢ š, š symmetry
ā¢ No current, no rxn
ā” š¼
Now, Solve
Ā© Faith A. M
orrison, M
ichigan
Tech U.
Unsteady State Heat Transfer to a Sphere
šššš”
š
šš¶
1š
ššš
ššššš
ā” š¼
Boundary conditions:
šš“
ššššš
ā š š šš š ,
šš“
0š 0,
Microscopic energy balance in the sphere:
Initial condition:
46
š šš” 0, āš
āš”
š” 0
ā¢ Unsteady
ā¢ Solid š£ 0
ā¢ š, š symmetry
ā¢ No current, no rxn
1959
Lecture 7 4/24/2019
24
š š šš š
tan š šBi 1 0
where the eigenvalues š satisfy this equation:
Solution:
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer to a Sphere
(Carslaw and Yeager, 1959, eqn 10, p238)Incropera and DeWitt, 7th ed, eqn 5.51a, p303
š š, š” ā”š š, š” šš š
šš šš š
2Bi šsin šš
ššsin š š
š šš š Bi 1š š Bi Bi 1
Fo ā”š¼š”š
47
Characteristic Equation
Bi ā”āš š
Bi Biot number; Fo Fourier number
šš šš š
2Bi šsin šš
ššsin š š
š šš š Bi 1š š Bi Bi 1
Depends on material (š¼
š/šš¶ , and heat transfer processes at
surface ā
Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer to a Sphere
Solution: š š, š” ā”š š, š” šš š
Bi ā”āš š
Fo ā”š¼š”š
48
Bi Biot number; Fo Fourier number
where the eigenvalues š satisfy this equation:
Characteristic Equation
Weāre interested in š š, š” at the center of the sphere, š 0.
(Carslaw and Yeager, 1959, eqn 10, p238)Incropera and DeWitt, 7th ed, eqn 5.51a, p303
š š šš š
tan š šBi 1 0
Lecture 7 4/24/2019
25
Letās plot it to find out. Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer to a Sphere
Solution: š ā”š š
š š
Bi ā”āš š
š 0, Foš šš š
2Bi šsin š š
š šš š Bi 1š š Bi Bi 1
Fo ā”š¼š”š
49
where the eigenvalues š satisfy this equation:
What does thislook like?
Characteristic Equation
(Excel)
š š šš š
tan š šBi 1 0
ā30
ā20
ā10
0
10
20
30
0 5 10 15
Biot number= 1.0000
Unsteady State Heat Transfer to a Sphere
50
Bi ā”āš š
Ā© Faith A. Morrison, Michigan Tech U.
ā¢ The š are the roots (zero crossings) of the characteristic equation
ā¢ They depend on Biotnumber Bi
Characteristic Equation:
š š šš š
tan š šBi 1
š š
šš
šš
šta
nš
šB
i1
Bi 1.00
Eigenvalues are the roots of the characteristic equation
Lecture 7 4/24/2019
26
ā30
ā20
ā10
0
10
20
30
0 5 10 15
Biot number= 1.0000
Unsteady State Heat Transfer to a Sphere
51
Bi ā”āš š
Ā© Faith A. Morrison, Michigan Tech U.
ā¢ The š are the roots (zero crossings) of the characteristic equation
ā¢ They depend on Biotnumber Bi
Characteristic Equation:
š š šš š
tan š šBi 1
š š
šš
šš
šta
nš
šB
i1
Bi 1.00
Eigenvalues are the roots of the characteristic equation
Ā© Faith A. Morrison, Michigan Tech U.
Solution:
š 0, Foš šš š
2Bi šsin š š
š šš š Bi 1š š Bi Bi 1
52
š 0, Foš šš š
2Bi šbunch of terms
that vary with Bi and š Bi
š štan š š
Bi 1 0
Characteristic Equation
š Bi varies only with Bi and š:If we choose a fixed Bi,
then š only varies with Fo
Exponential decay with Fo (scaled time)
Letās plot it to find out: what are the variables?
Bi ā”āš š
Fo ā”š¼š”š
Lecture 7 4/24/2019
27
Ā© Faith A. Morrison, Michigan Tech U.
Bi ā”āš š
Fo ā”š¼š”š
53
š 0, Foš šš š
2Bi šsin š š
š šš š Bi 1š š Bi Bi 1
š 0, Foš šš š
2Bi šbunch of terms
that vary with Bi and š Bi
Exponential decay with Fo (scaled time)
An infinite sum of decaying exponentialsā¢ whose argument is Fourier number scaled by
something that depends on Biot number and šā¢ with a prefactor that also depends on Biot number
and š
For a fixed Bi:
If we choose a fixed Bi,then š only varies with Fo
Ā© Faith A. Morrison, Michigan Tech U.
Bi ā”āš š
Fo ā”š¼š”š
54
If we choose a fixed Bi,then š only varies with Fo
š 0, Fo š¶ š
An infinite sum of decaying exponentials
For a fixed Bi:
ā¢ š¶ depends on š through šā¢ š are calculated (numerically)
from the roots of this equation:
š š šš š
tan š šBi 1 0
Letās plot š 0, Fo
Lecture 7 4/24/2019
28
Unsteady State Heat Transfer to a Sphere
0.001
0.01
0.1
1
10
0.0 0.2 0.4 0.6 0.8 1.0
Scaled Temperature
Fourier number
nineterms
firstterm
Ā© Faith A. Morrison, Michigan Tech U.55
Fo ā”š¼š”š
š0,
Foā”
š0,
š”š
šš
sum of 9 terms
first term only Fo 0.2
Solution:
Unsteady State Heat Transfer to a Sphere
Ā© Faith A. Morrison, Michigan Tech U.56
0.001
0.01
0.1
1
10
0.0 0.2 0.4 0.6 0.8 1.0
Scaled Temperature
Fourier number
nineterms
firstterm
Fo ā”š¼š”š
sum of 9 terms
first term only
ā¢ Plotted logālinear, the solution is linear for Fo 0.2
ā¢ The slope exhibited at high Fo depends only on Biot number
Bi ā”
Bi
Fo 0.2
Solution:
š0,
Foā”
š0,
š”š
šš
Lecture 7 4/24/2019
29
Unsteady State Heat Transfer to a Sphere
Ā© Faith A. Morrison, Michigan Tech U.57
0.001
0.01
0.1
1
10
0.0 0.2 0.4 0.6 0.8 1.0
Scaled Temperature
Fourier number
nineterms
firstterm
Fo ā”š¼š”š
Above Fo 0.2, there is no difference between using just one term š 1 and all the terms of the infinite sum!
sum of 9 terms
first term only
ā¢ Plotted logālinear, the solution is linear for Fo 0.2
ā¢ The slope exhibited at high Fo depends only on Biot number
Bi ā”
Bi
Fo 0.2
Solution:
š0,
Foā”
š0,
š”š
šš
ā0.6
ā0.4
ā0.2
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
0 0.1 0.2 0.3 0.4
Biot number= 1.0000
first term
second term
third term
fourth term
fifth term
sixth term
seventh term
eighth term
ninth term
58
Ā© Faith A. M
orrison, M
ichigan
Tech U.
(sum of 9 terms)
term n=1
term n=2
term n=3
Unsteady State Heat Transfer to a Sphere
Fo ā”š¼š”š
fixed Bi
ā fixed ā, R, š
Fo 0.2
What are all those higher order terms contributing to the solution?
š0,
Foā”
š0,
š”š
šš
Lecture 7 4/24/2019
30
ā0.6
ā0.4
ā0.2
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
0 0.1 0.2 0.3 0.4
Biot number= 1.0000
first term
second term
third term
fourth term
fifth term
sixth term
seventh term
eighth term
ninth term
Ā© Faith A. Morrison, Michigan Tech U.59
result (9 terms)
Fo ā”š¼š”š
Unsteady State Heat Transfer to a Sphere
Fo 0.2
Fo 0.2
For š¹š 0.2, the higherāorder terms make no contribution to
the solution
š0,
Foā”
š0,
š”š
šš
ā0.6
ā0.4
ā0.2
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
0 0.1 0.2 0.3 0.4
Biot number= 1.0000
first term
second term
third term
fourth term
fifth term
sixth term
seventh term
eighth term
ninth term
Ā© Faith A. Morrison, Michigan Tech U.60
result (9 terms)
The higherāorder terms are working to get the solution right for shorter and shorter times
(low Fo)
Unsteady State Heat Transfer to a Sphere
Fo 0.2
Fo 0.2
For š¹š 0.2, the higherāorder terms make no contribution to
the solution
š0,
Foā”
š0,
š”š
šš
Lecture 7 4/24/2019
31
ā0.6
ā0.4
ā0.2
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
0 0.1 0.2 0.3 0.4
Biot number= 1.0000
first term
second term
third term
fourth term
fifth term
sixth term
seventh term
eighth term
ninth term
Ā© Faith A. Morrison, Michigan Tech U.61
result (9 terms)
The higherāorder terms are working to get the solution right for shorter and shorter times
(low Fo)
Unsteady State Heat Transfer to a Sphere
Fo 0.2
Fo 0.2
For š¹š 0.2, the higherāorder terms make no contribution to
the solution
š0,
Foā”
š0,
š”š
šš
We already know the shortātime behavior, T is constant at the initial temp; we thus concentrate on long times to fit the data (and therefore need only one term of the
summation)
ā30
ā20
ā10
0
10
20
30
0 5 10 15
Biot number= 1.0000
Unsteady State Heat Transfer to a Sphere
62
Bi ā”āš š
Ā© Faith A. Morrison, Michigan Tech U.
ā¢ The š eigenvalue is the one that dominates at long time
ā¢ The value of šdepends on Biotnumber Bi
Characteristic Equation:
š š šš š
tan š šBi 1
š š
šš
šš
šta
nš
šB
i1
Bi 1.00
Eigenvalues are the roots of the characteristic equation
Lecture 7 4/24/2019
32
Unsteady State Heat Transfer to a Sphere
0.001
0.01
0.1
1
10
0.0 0.2 0.4 0.6 0.8 1.0
Scaled Temperature
Fourier number
nineterms
firstterm
Ā© Faith A. Morrison, Michigan Tech U.63
Fo ā”š¼š”š
sum of 9 terms
first term only Fo 0.2
ā¢ Plotted logālinear, the solution is linear for Fo 0.2
ā¢ The slope exhibited at high Fo depends only on Biot number
Bi ā”
Bi
š0,
Foā”
š0,
š”š
šš
64
ā¢For a fixed Bi the results are only a function of Fo.
ā¢Solution is an infinite sum of terms.
ā¢Each term corresponds to one eigenvalue, š
ā¢The first term š 1 š is the dominant term
ā¢The š 1 terms alternate in sign (positive and negative)
ā¢Higher terms are āfixingā the short time behavior
ā¢At fixed Biot number, the timeādependence is an exponential decay (for Fo 0.2 ; this is linear on a logālinear plot versus Fo
Bi ā”āš š
Ā© Faith A. M
orrison, M
ichigan
Tech U.
Fo ā”š¼š”š Summary
Question: How do various values of Biotnumber affect the heat transfer that occurs?
So, actually, it turns out all we need are those slopes as a
function of Biotnumber.
Unsteady State Heat Transfer to a Sphere
No Mechanism Dominates
Lecture 7 4/24/2019
33
Unsteady State Heat Transfer to a Sphere
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0.001 0.01 0.1 1 10 100 1000Biot Number
š
š
š
š
š š
65
Bi ā”āš š
Ā© Faith A. Morrison, Michigan Tech U.
ā¢ The š are the roots of the characteristic equation
ā¢ They depend on Biotnumber Bi
ā¢ At low Bi 0.1 and high Bi Bi 10 the solution becomes independent of Bi
low Bi is high š, low ā
high Bi islow š, high ā
ā30
ā20
ā10
0
10
20
30
0 5 10 15
Biot number= 1.0000
ā¢ The š eigenvalue is the one that dominates at long time
ā¢ The value of šdepends on Biotnumber Bi
Characteristic Equation:
š š šš š
tan š šBi 1
š š
šš
šš
šta
nš
šB
i1
Bi 1.00
Eigenvalues are the roots of the characteristic equation
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0.001 0.01 0.1 1 10 100 1000Biot Number
š
š
š
š
š š
Unsteady State Heat Transfer to a Sphere
high Bi islow k, high h
Bi ā”āš š
66
low Bi is high š, low ā
high Bi islow k, high h
Ā© Faith A. Morrison, Michigan Tech U.
Low Bi:high š, low āBi ā”
āš š
ā¢ The š are the roots of the characteristic equation
ā¢ They depend on Biotnumber Bi
ā¢ At low Bi 0.1 and high Bi Bi 10 the solution becomes independent of Bi
Characteristic Equation:
š štan š š
Bi 1 0
At low Bi, the temperature is uniform in the sphere; heat
transfer is limited by rate of heat transfer to the surface (ā).
Lecture 7 4/24/2019
34
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0.001 0.01 0.1 1 10 100 1000Biot Number
š
š
š
š
š š
Unsteady State Heat Transfer to a Sphere
Ā© Faith A. Morrison, Michigan Tech U.67
low Bi is high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the
sphere.
high Bi islow š, high ā
High Bi:low š, high ā
ā¢ The š are the roots of the characteristic equation
ā¢ They depend on Biotnumber Bi
ā¢ At low Bi 0.1 and high Bi Bi 10 the solution becomes independent of Bi
Characteristic Equation:
š štan š š
Bi 1 0
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0.001 0.01 0.1 1 10 100 1000Biot Number
š
š
š
š
š š
Unsteady State Heat Transfer to a Sphere
Ā© Faith A. Morrison, Michigan Tech U.68
low Bi is high š, low ā
Moderate Bi:nether process dominates
high Bi islow š, high ā
ā¢ The š are the roots of the characteristic equation
ā¢ They depend on Biotnumber Bi
ā¢ At low Bi 0.1 and high Bi Bi 10 the solution becomes independent of Bi
Characteristic Equation:
š štan š š
Bi 1 0
At moderate Bi, heat transfer is affected by both conduction in the sphere and the rate of
heat transfer to the surface.
Lecture 7 4/24/2019
35
Ā© Faith A. Morrison, Michigan Tech U.69
What were we trying to do?
?
Example: Measure the convective heat-transfer coefficient for heat being transferred between a fluid and a sphere.
Unsteady State Heat Transfer: Intermediate Biot Number
Fluid bulk temperature š
š š š, š”ā¢ We need to devise an experiment
ā¢ Both internal š and external āresistances are important
ā¢ We need to match measurablequantities with calculablequantities
ā¢ ā Microscopic Energy Balance
ā¢ āUncertainty considerations
š, š, š¶
To determine š:ā¢ Measure centerāpoint temperature as a function of time ā¢ Compare with model predictions, accounting for uncertainty in measurements
ā¢ Deduce ā
Can we meet our objective?
š” š”š š
Initially: Suddenly:
š” š”š š š”
Example: Measure the convective heat-transfer coefficient for heat being transferred between a fluid and a sphere.
Where are we in the process?
We have the model
ā¢ We need the measured centerāpoint temperature as a function of time
ā¢ We need to compare the two to deduce ā.
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0.001 0.01 0.1 1 10 100 1000Biot Number
š
š
š
š
š š
Ā© Faith A. Morrison, Michigan Tech U.
Bi ā”āš š
Fo ā”š¼š”š
70
š 0, Fo š¶ š
For a fixed Bi, Fo š. š:
š 0, Fo š¶ š
ln š 0, Fo ln C š š Fo
ln š lnš šš šPlot: vs Fo
=> slope š š
The solution of the model:
Bi ā”āš š
Once we know Bi, we can calculate š from Bi
From experimentsā¦
From the model solutionā¦
Characteristic Equation:š š
tan š šBi 1 0
Use to interpret data.
Lecture 7 4/24/2019
36
71Ā© Faith A. Morrison, Michigan Tech U.
0.0001
0.001
0.01
0.1
1
0 5 10 15
data
limit of detection
fit
š0,
š”š
šš
Fo ā”š¼š”š
Experimental Data
ln š lnš šš šPlot: vs Fo
=> slope š š
From experimentsā¦
Slope 0.74656
š š 0. 74656 0.864039
ā Bi 0.2621919, ā 2300
š 109
š 0.0127 š
š štan š š
Bi 1 0
Characteristic Equation:
Ā© Faith A. Morrison, Michigan Tech U.72
Recap:
?
Example: Measure the convective heat-transfer coefficient for heat being transferred between a fluid and a sphere.
Unsteady State Heat Transfer: Intermediate Biot Number
Fluid bulk temperature š
š š š, š”ā¢ We need to devise an experiment
ā¢ Both internal š and external āresistances are important
ā¢ We need to match measurablequantities with calculablequantities
ā¢ ā Microscopic Energy Balance
ā¢ āUncertainty considerations
š, š, š¶
To determine š:ā¢ Measure centerāpoint temperature as a function of time ā¢ Compare with model predictions, accounting for uncertainty in measurements
ā¢ Deduce ā
Can we meet our objective?
š” š”š š
Initially: Suddenly:
š” š”š š š”
Measure convective heat-transfer coefficient ā for heat being transferred between a fluid and a sphere.What was the
process?
1.Create the scenario and the model of the scenario
2. Take data of centerāpoint š š”
3.Plot the data in a way that we can match it to the model to deduce Bi
0.0001
0.001
0.01
0.1
1
0 5 10 15
data
limit of detection
fit
š0,
š”š
šš
Fo ā”š¼š”š
Characteristic Equation:
š štan š š
Bi 1 0
slope š š
Bi ā”āš š ā
4. Calculate ā.
Lecture 7 4/24/2019
37
Ā© Faith A. Morrison, Michigan Tech U.73
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
Summary
Unsteady State Heat Transfer
Low Bi: no internal temperature variation ā Lumped parameter analysis (macroscopic energy balance, unsteady); Bi āš/šš“ 0.1
High Bi: dominated by internal temperature variation ā solve with temperature boundary conditions; Bi āš· /š(š· varies with the problem)
Moderate Bi: The limits for āmoderateā are 0.1 Bi10. When Bi is in this range, a more complete solution may be necessary; Bi āš· /š. (š· varies with the problem)
Ā© Faith A. Morrison, Michigan Tech U.74
High Bi:low š, high ā
Low Bi:high š, low ā
At high Bi, the surface temperature equals the bulk temperature; heat transfer is limited by conduction in the body.
At low Bi, the temperature is uniform in a finite body; heat transfer is limited by rate of heat transfer to the surface (ā).
At moderate Bi, heat transfer is affected by both conduction in the body and the rate of heat transfer to the surface.
Moderate Bi:nether process dominates
Bi Biot NumberQuantifies the tradeoffs between the rate of internal heat flux (by conduction, š) and the rate of heat delivery to the boundary (by convection, ā)
Summary
Unsteady State Heat Transfer
Low Bi: no internal temperature variation ā Lumped parameter analysis (macroscopic energy balance, unsteady); Bi āš/šš“ 0.1
High Bi: dominated by internal temperature variation ā solve with temperature boundary conditions; Bi āš· /š(š· varies with the problem)
Moderate Bi: The limits for āmoderateā are 0.1 Bi10. When Bi is in this range, a more complete solution may be necessary; Bi āš· /š. (š· varies with the problem)
We use š· š/š“ only for the lumped parameter analysis. We use different š· in other cases.
š· =characteristic lengthscale
Lecture 7 4/24/2019
38
0.01
0.1
1
10
0.001 0.01 0.1 1 10 100 1000
First Eigenvalue, Heat Transfer to Sphere
Incropera and DeWitt
FAM calculation
model fit
Ā© Faith A. M
orrison, M
ichigan
Tech U.
75
Unsteady State Heat Transfer to a Sphere
Fit by Faith A. Morrison 31 Jan 2019 2013AnalyticalSolutionSphereLab_calc eigenvectors 2019
š š
Bi
Negligible external resistance
ā ā āNeither
mechanism dominates Bi 10
0.1 Bi 10
Bi 0.1
First Eigenvalue, Heat Transfer to Sphere Bi ā”āš
š
Dominated by external resistance
š ā ā
76
If we know š š and weāre determining Bi (i.e. ā), we use the characteristic equation directly.
If we know ā (and hence, Bi) we need to find š š from an iterative solution of the characteristic equation.
Or use a table or correlation for the calculated roots.
Characteristic Equation:
š štan š š
Bi 1 0
Unsteady State Heat Transfer to a Sphere
Ā© Faith A. Morrison, Michigan Tech U.
0.01
0.1
1
10
0.001 0.01 0.1 1 10 100 1000
First Eigenvalue, Heat Transfer to Sphere
Incropera and DeWitt
FAM calculation
model fit
Unsteady State Heat Transfer to a Sphere
š š
Negligible external resistance
ā ā ā
š” š”š š
Initially: Suddenly:
š” š”š š š”
Neither mechanism dominates Bi 10
0.1 Bi 10
Bi 0.1
First Eigenvalue, Heat Transfer to Sphere Bi ā”āš
š
Dominated by external resistance
š ā ā
Lecture 7 4/24/2019
39
0.01
0.1
1
10
0.001 0.01 0.1 1 10 100 1000
First Eigenvalue, Heat Transfer to Sphere
Incropera and DeWitt
FAM calculation
model fit
77
Unsteady State Heat Transfer to a Sphere
Fit by Faith A. Morrison 1/31/2019 2013AnalyticalSolutionSphereLab_calc eigenvectors 2019
š šš š¼ Bi
1 š¼ Biš š¼ Bi
1 š¼ Bi
1 2š 1.131 2.066š¼ 3.684 0.684š 0.539 1.035
š š
Bi
First Eigenvalue, Heat Transfer to Sphere
Ā© Faith A. Morrison, Michigan Tech U.
(matches true within 1.2%)
78
Unsteady State Heat Transfer to a Sphere
1 2š 1.131 2.066š¼ 3.684 0.684š 0.539 1.035
Ā© Faith A. M
orrison, M
ichigan
Tech U.0.01
0.1
1
10
0.001 0.01 0.1 1 10 100 1000
First Eigenvalue, Heat Transfer to Sphere
Incropera and DeWitt
FAM calculation
model fitš š
Bi
First Eigenvalue, Heat Transfer to Sphere
For a fixed Bi, Fo š. š:
š 0, Fo š¶ š
2Bi š š Bi 1š š Bi Bi 1
sin š šš š
š¶4 sin š š š š cos š š
2š š sin 2š š
The two expressions may be shown to be equivalent by substituting the characteristic equation; see FAM notebook v.53 2019; the second version is more robust due to avoiding multiplying by zero when š š ā š.
(matches true within 1.2%)
š šš š¼ Bi
1 š¼ Biš š¼ Bi
1 š¼ Bi
Fit by Faith A. Morrison 1/31/2019 2013AnalyticalSolutionSphereLab_calc eigenvectors 2019
Lecture 7 4/24/2019
40
Unsteady State Heat Transfer to a Sphere
From Geankpolis, 4th edition, page 374 Ā© F
aith
A.
Mor
rison
, M
ichi
gan
Tech
U.
79
Heisler chartsSee:
Geankoplis
Wikipedia
Welty, Rorrer, and Foster (appendix F)
Reasonable estimates of the sphere (slab, cylinder) solutions may also be obtained from the āHeisler Chartsā
For the Heisler chart for spheres, we use š· š . Note this is not the same as what is used in lumped parameter analysis
š· =characteristic lengthscale
Biāš·
š
š· š„ š (sphere)š (cylinder)šµ (slab of thickness 2šµ
From Geankpolis, 4th edition, page 374
Ā© F
aith
A.
Mor
rison
, M
ichi
gan
Tech
U.
80
Heisler charts (Geankoplis; see also Wikipedia)
Literature solutions to Unsteady State Heat Transfer to a Sphere
Lecture 7 4/24/2019
41
From Geankpolis, 4th edition, page 374
Ā© F
aith
A.
Mor
rison
, M
ichi
gan
Tech
U.
81
The Heisler Chart is a catalog of all the Y š š” long-time
shapes for various values of
Biot number Bi .
Heisler charts (Geankoplis; see also Wikipedia)
Literature solutions to Unsteady State Heat Transfer to a Sphere
From Geankpolis, 4th edition, page 374
Ā© F
aith
A.
Mor
rison
, M
ichi
gan
Tech
U.
Also, x1 is the sphere radius
Note: the parameter m from the Geankoplis Heisler chart is NOT the
slope of the line! It is a label of Bi.
82
šāš„
1Bi
Heisler charts (Geankoplis; see also Wikipedia)
Literature solutions to Unsteady State Heat Transfer to a Sphere
Lecture 7 4/24/2019
42
From Geankpolis, 4th edition, page 374 Ā© Faith A. Morrison, Michigan Tech U.
83
Heisler charts (Geankoplis; see also Wikipedia) Note also: think of it as 4 separate graphs
10
84Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer
Summary
ā¢ Unsteady state heat transfer is very common in the chemical process industries
ā¢ Temperature distributions depend strongly on what initiates the heat transfer (usually something at the boundary)
ā¢ Internal resistance 1/š can be limiting, irrelevant, or one among many resistances
ā¢ External resistance 1/ā can be limiting irrelevant, or one among many resistances
ā¢ Dimensional analysis, once again, organizes the impacts of various influences Bi, Fo
B š„
š
.
.š
š
š
decreases with time
also decreases with time
Lecture 7 4/24/2019
43
85Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer
Summary (continued)
ā¢ In transport phenomena, we have dimensionless numbers that represent three important aspects of situations that interest us:
1. The relative importance of individual terms in the equations of change
2. The relative magnitudes of the diffusive transport coefficients š, š¼, š·
3. Scaled values of quantities of interest, e.g. wall forces, heat transfer coefficients, and mass transfer coefficients (data correlations)
Dimensionless Numbers
Re Reynolds
Fr Froude
Pe PĆ©clet RePr
Pe PĆ©clet ReSc
Pr Prandtl
Sc Schmidt LePr
Le Lewis
š Friction Factorā±
Nu Nusselt
Sh Sherwood
momentumenergymass
These numbers from the governing equations tell us about the relative
importance of the terms they precede in the microscopic balances
(scenario properties).
These numbers are defined to help us build transport data correlations
based on the fewest number of grouped (dimensionless) variables
(scenario properties).
These numbers compare the magnitudes of the diffusive
transport coefficients š, š¼, š·(material properties).
Summary
86Ā© Faith A. Morrison, Michigan Tech U.
Unsteady State Heat Transfer
Summary (continued)
ā¢ If we can develop a model situation for questions of interest, the solutions of the models are often in the literature
Dimensionless Numbers
Re Reynolds
Fr Froude
Pe PĆ©clet RePr
Pe PĆ©clet ReSc
Pr Prandtl
Sc Schmidt LePr
Le Lewis
š Friction Factorā±
Nu Nusselt
Sh Sherwood
momentumenergymass
These numbers from the governing equations tell us about the relative
importance of the terms they precede in the microscopic balances
(scenario properties).
These numbers are defined to help us build transport data correlations
based on the fewest number of grouped (dimensionless) variables
(scenario properties).
These numbers compare the magnitudes of the diffusive
transport coefficients š, š¼, š·(material properties).
Summary
ā¢ Our responsibility in 21st
century: Learn to develop models that will allow us to estimate or determine answers to the questions that interest us
Lecture 7 4/24/2019
44
Ā© Faith A. Morrison, Michigan Tech U.87