This document discusses heat conduction through plane walls and hollow cylinders. It introduces the concepts of one-dimensional steady-state heat conduction without heat generation. The differential equation for heat conduction is derived for plane walls and cylindrical coordinates. Methods to solve for temperature distributions and heat fluxes are presented, including the use of thermal resistance networks and overall heat transfer coefficients. Multilayer walls and composite materials are also analyzed.
Thermal conductivity is heat flow per second per unit area per unit temperature gradient. Heat conduction / Heat energy is the transferred from the hot end of heat conductor to the cold end consider a cylindrical conductor as shown in fig. 1, where the temperature at T1 is greater than at T2, the heat energy flows from the hotter end at temperature T1 to cooler end at temperature T2.
Conduction with Thermal Energy Generation.pdfPokemonSylvie
In the preceding section of Steady State, 1-D
heat conduction analysis, we considered
conduction problems for which the
temperature distribution in a medium was
determined solely by conditions at the
boundaries of the medium
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Thermal conductivity is heat flow per second per unit area per unit temperature gradient. Heat conduction / Heat energy is the transferred from the hot end of heat conductor to the cold end consider a cylindrical conductor as shown in fig. 1, where the temperature at T1 is greater than at T2, the heat energy flows from the hotter end at temperature T1 to cooler end at temperature T2.
Conduction with Thermal Energy Generation.pdfPokemonSylvie
In the preceding section of Steady State, 1-D
heat conduction analysis, we considered
conduction problems for which the
temperature distribution in a medium was
determined solely by conditions at the
boundaries of the medium
Similar to Ch 2 - Steady state 1-D, Heat conduction.pdf (20)
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
2. 2021-8 2
Objectives
Understand the conditions under which a heat transfer problem can be approximated as being one-
dimensional.
Obtain the differential equation of heat conduction in various coordinate systems, and simplify it for
steady one-dimensional case.
Identify the thermal conditions on surfaces, and express them mathematically as boundary and initial
conditions.
Solve one-dimensional heat conduction problems and obtain the temperature distributions within a
medium and the heat flux.
Analyze one-dimensional heat conduction in solids that involve heat generation.
Evaluate heat conduction in solids with temperature-dependent thermal conductivity.
4. 2021-8 4
Introduction To Heat Conduction
• Steady implies no change with time at any point within
the medium
• Transient implies variation with time or time dependence
• In the special case of variation with time but not with
position, the temperature of the medium changes
uniformly with time. Such heat transfer systems are called
lumped systems.
• Heat transfer problems are also classified as being:
one-dimensional
two dimensional
three-dimensional
Steady versus Transient Heat Transfer
5. 2021-8 5
Introduction To Heat Conduction
Simplest Case: One-Dimensional, Steady-State Conduction with No Thermal Energy Generation.
Common Geometries:
The Plane Wall: Described in rectangular (x) coordinate. Area perpendicular to direction of heat transfer is
constant (independent of x).
rectangular T(x, y, z, t)
The Tube Wall: Radial conduction through tube wall (cylindrical).
cylindrical T(r, , z, t)
The Spherical Shell: Radial conduction through shell wall.
spherical T(r, , , t).
7. 2021-8 7
Heat Conduction in a Plane Wall
Heat Generation
• Examples:
electrical energy being converted to heat at a rate of I2R,
fuel elements of nuclear reactors,
exothermic chemical reactions.
• Heat generation is a volumetric phenomenon.
• The rate of heat generation units : W/m3 or Btu/h·ft3.
• The rate of heat generation in a medium may vary with time
as well as position within the medium.
In addition, there may occur change in the amount
of the internal thermal energy stored by the
material in the control volume;
9. 2021-8 9
Heat Conduction in a Plane Wall
Sub: the values of C1 and C2 in Eqn. 1
The temperature distribution
1
1
2 )
( T
L
x
T
T
Tx
General equation
Integrating twice
T(x) = C1 x + C2 ----------(1)
Boundary conditions B.C
0
2
2
dx
T
d
1
C
dx
dT
L
T
T
C
T
T
L
x
at
)
( 1
2
1
2
1
2
1
0 T
C
T
T
x
at
10. 2021-8 10
Heat Conduction in a Plane Wall
Heat Flux and Heat Rate q:
q
)
(W/m
C
-k
dx
dT
k
- 2
1
q
(W)
C
A
-k
dx
dT
A
k
- 1
q
th
R
T
kA
L
T
T
T
T
L
kA
q
)
(
)
( 2
1
2
1
kA
L
Rth
Where Thermal Resistances (K/W) in a plane wall
11. 2021-8 11
Heat Conduction in a Plane Wall
Thermal Resistance Concept
Analogy between thermal and electrical
resistance concepts.
rate of heat transfer electric current
thermal resistance electrical resistance
temperature difference voltage difference
• Conduction resistance of the wall: Thermal resistance of the
wall against heat conduction.
• Thermal resistance of a medium depends on the geometry and
the thermal properties of the medium.
Electrical resistance
12. 2021-8 12
Heat Conduction in a Plane Wall
Convection resistance of the surface: Thermal resistance of the
surface against heat convection.
• When the convection heat transfer coefficient is very large (h → ), the
convection resistance becomes zero and Ts T.
• That is, the surface offers no resistance to convection, and thus it does
not slow down the heat transfer process.
• This situation is approached in practice at surfaces where boiling and
condensation occur.
Schematic for convection
resistance at a surface.
13. 2021-8 13
Heat Conduction in a Plane Wall
Radiation resistance of the surface: Thermal resistance of the surface
against radiation.
Schematic for convection
and radiation resistances at
a surface.
• Radiation heat transfer coefficient hrad
• Ts and Tsurr must be in K in the evaluation of hrad
Combined heat transfer coefficient
14. 2021-8 14
Heat Conduction in a Plane Wall
Thermal circuit for plane wall with adjoining fluids:
Schematic for convection and radiation resistances at a
surface.
15. 2021-8 15
Heat Conduction in a Plane Wall
Temperature drop
• Once Q is evaluated, the surface temperature T1 can be determined from
A
h
kA
L
A
h
Rtotal
2
1
1
1
total
R
T
T
q
)
,
( 2
,
1
k
L
R cond
th
,
h
R conv
th
1
,
)
/
( W
K
Rth W
K
m
Rth /
2
• Thermal Resistance for Unit Surface Area:
Units:
17. 2021-8 17
Heat Conduction in a Plane Wall
Multilayer Plane Walls
th
th
overall
R
T
T
R
T
q
)
( ,
, 4
1
A
h
A
k
L
A
k
L
A
k
L
A
h
T
T
q
C
C
B
B
A
A
x
4
1
4
1
1
1 /
/
/
/
/
,
,
....
/
/
/
,
,
,
A
k
L
T
T
A
k
L
T
T
A
h
T
T
q
B
B
A
A
s
s
x
3
2
2
1
1
1
1
1
Overall Heat Transfer Coefficient (U) :
th
total R
UA
R
1
4
1 1
1
1
1
h
k
L
k
L
k
L
h
A
R
U
C
C
B
B
A
A
tot /
/
/
/
/
)
( 4
,
1
,
T
T
UA
T
UA
q overall
19. 2021-8 19
Heat Conduction in a Plane Wall
Series – Parallel Composite Wall
2
1
4
1
q
q
R
R
R
T
T
R
T
q
H
equv
E
th
total
H
equv
E
total
R
T
T
R
T
T
R
T
T
q 4
3
3
2
2
1
where
G
F
G
F
G
F
equv
R
R
R
.
R
R
R
R
1
1
1
H
F
E
G
F
G
total
R
R
R
T
T
R
R
R
q
q
4
1
1
H
G
E
G
F
F
total
R
R
R
T
T
R
R
R
q
q
4
1
2
22. 2021-8 22
Heat Conduction in a Plane Wall
Example 2.1 (Cont.)
• Alternative thermal resistance network for Example
• We could also solve this problem by going to the other extreme and
assuming the surfaces parallel to the x-direction are adiabatic. The
thermal resistance network in this case will be as shown in Figure.
23. 2021-8 23
Heat Conduction in a Plane Wall
Thermal Contact Resistance
A
K
L
R
A
K
L
R
B
B
c
th
A
A
th ,
Where
c
th
R , thermal contact resistance (K/W)
W
K
m
q
T
T
R
x
B
A
c
th
2
,
W
K
A
R
R c
th
c
th
,
,
The value of thermal contact resistance depends on:
• surface roughness,
• material properties,
• temperature and pressure at the interface
• type of fluid trapped at the interface.
24. 2021-8 24
Heat Conduction in a Plane Wall
Thermal contact resistance is significant and can
even dominate the heat transfer for good heat
conductors such as metals, but can be disregarded for
poor heat conductors such as insulations.
hc thermal contact conductance
The thermal contact resistance can be minimized
by applying
• a thermal grease such as silicon oil
• a better conducting gas such as helium or hydrogen
• a soft metallic foil such as tin, silver, copper, nickel,
or aluminum
(m2.K/W)
(b) interfacial fluid
(a) Vacuum interface
2.75
1.05
0.720
0.525
0.265
Air
Helium
Hydrogen
Silicone oil
Glycerin
10,000 kN/m2
0.7-4.0
0.1-0.5
0.2-0.4
0.2-0.4
100 kN/m2
6-25
1-10
1.5-3.5
1.5-5.0
Contact pressure
Stainless steel
Copper
Magnesium
Aluminum
Table 2.1 Thermal contact resistance for (a) metallic interfaces under
vacuum conditions and (b) aluminum - aluminum interface (10 m
surface roughness, 105 N/m2) with different interfacial fluids.
h
t
R
,
25. 2021-8 25
Heat Conduction in a Hollow Cylinder
Fourier’s law of heat conduction for heat transfer through the cylindrical
layer can be expressed as
• (for steady-state, one-dimensional without heat generation,
constant thermal conductivity)
L
r
A
L
r
A
o
o
i
i
2
2
rL
A
2
Conduction resistance of the cylinder layer
26. 2021-8 26
Heat Conduction in a Hollow Cylinder
The thermal resistance network for a cylindrical shell subjected to
convection from both the inner and the outer sides.
28. 2021-8 28
Heat Conduction in a Hollow Cylinder
Multilayered Cylinders
4
4
3
4
2
3
1
2
1
1
4
,
1
,
2
1
2
)
/
(
ln
2
)
/
(
ln
2
)
/
(
ln
2
1
h
L
r
L
k
r
r
L
k
r
r
L
k
r
r
h
L
r
T
T
q
C
B
A
r
)
(
)
( 4
,
1
,
4
,
1
,
4
,
1
,
T
T
A
U
T
T
A
U
R
T
T
q o
o
i
i
tot
r
4
4
1
3
4
1
2
3
1
1
2
1
1
1
1
ln
ln
ln
1
1
h
r
r
r
r
k
r
r
r
k
r
r
r
k
r
h
U
C
B
A
1
4
4
3
3
2
2
1
1 )
( th
R
A
U
A
U
A
U
A
U
• To determine the temperature at any radius , q = constant
4
4
4
,
4
4
3
4
3
2
3
3
2
1
2
2
1
1
1
1
1
,
2
1
2
)
/
ln(
2
)
/
ln(
2
)
/
ln(
2
1
h
L
r
T
T
Lk
r
r
T
T
Lk
r
r
T
T
Lk
r
r
T
T
h
L
r
T
T
q
c
B
A
r
31. 2021-8 31
Heat Conduction in a Hollow Sphere
The thermal resistance network for a spherical shell subjected to
convection from both the inner and the outer sides.
th
o
i
i
o
o
i
i
o
o
i
i
o
R
T
k
r
r
r
r
T
T
r
r
T
T
k
r
r
q
4
)
(
)
(
4
Thermal Resistance
)
1
1
(
4
1
4
,
o
i
i
o
i
o
sphere
th
r
r
k
k
r
r
r
r
R
32. 2021-8 32
Heat Conduction in a Hollow Sphere
Multilayered Sphere
)
4
(
1
)
4
(
1
2
4
2
,
2
1
1
,
r
h
R
r
h
R
o
conv
i
conv
3
4
3
3
4
3
,
2
3
2
2
3
2
,
1
2
1
1
2
1
,
4
,
4
,
4 k
r
r
r
r
R
k
r
r
r
r
R
k
r
r
r
r
R sph
sph
sph
2
4
2
1
4
4
r
A
r
A
o
i
o
i
total
A
h
k
r
r
r
r
k
r
r
r
r
k
r
r
r
r
A
h
R
2
3
4
3
3
4
2
3
2
2
3
1
2
1
1
2
1
1
4
4
4
1
th
R
T
q
37. 2021-8 37
Heat Conduction
Example 2.4.
A company used a storage tank consists of a cylindrical section that has length and inner diameter of L=1.8 m
and Di = 1000 mm, respectively, and two hemispherical end sections. The tank is constructed from 20 mm-
thick glass (Pyrex, k = 1.4 W/ m K) and is exposed to ambient air for which the temperature is 27 C and the
convection coefficient is 10 W/ m 2 K. The tank is used to store heated oil, which maintains at a temperature
of 150 C and heat transfer coefficient is 120 W/m2.K. Radiation effects may be neglected. Sketch the
thermal circuit and Determine:
a)The electrical power that must be supplied to a heater submerged in the oil
b) The temperatures of outer surface of cylinder side only (TS,o).
If the price of electricity is $0.08/kWh, Determine the annual cost of heat loss per .
Known: Geometry of an oil storage tank. Temperatures of stored oil and environmental conditions.
38. 2021-8 38
Heat Conduction
Example 2.4. (cont.)
R4
qcyl
½ qspher
FIND: a) Heater power required , b) (TS,o) for cylinder side only
c) the annual cost of heat loss per year and the fraction of the hot oil energy cost of this company that is due to the heat loss
from the tank.
SCHEMATIC:
R4 R5
R6
R1 R2 R3
qsphe
qcyl
T∞,i
T∞,o
39. 2021-8 39
Heat Conduction
Example 2.4. (cont.)
sphere
cyl
hemi
cyl q
q
q
2
q
q
3
2
1
o
,
i
,
cyl
,
th
o
,
i
,
cyl
R
R
R
T
T
R
T
T
q
o
o
i
o
i
i
o
,
i
,
cyl
h
L
r
2
1
r
/
r
ln
kL
2
1
h
L
r
2
1
T
T
q
10
x
2
x
52
.
0
x
2
1
5
.
0
/
52
.
0
ln
2
x
4
.
1
x
2
1
120
x
2
x
5
.
0
x
2
1
27
150
qcyl
Watt
1
.
6522
01886
.
0
123
0153
.
0
10
x
229
.
2
10
x
326
.
1
27
150
q
3
3
cyl
6
5
4
o
,
i
,
sphere
,
th
o
,
i
,
sphere
R
R
R
T
T
R
T
T
q
40. 2021-8 40
Heat Conduction
Example 2.4. (cont.)
o
2
o
o
i
i
o
i
2
i
o
,
i
,
sphere
h
r
4
1
r
kr
4
r
r
h
r
4
1
T
T
q
10
)
52
.
0
(
4
1
52
.
0
x
5
.
0
x
4
.
1
x
4
5
.
0
52
.
0
120
)
5
.
0
(
4
1
27
150
q
2
2
sphere
Watt
8
.
3483
03645
.
0
123
0294
.
0
10
x
372
.
4
10
x
652
..
2
27
150
q
3
3
cyl
The electrical power
= 10.0059 kW
The amount and cost of heat loss per year are
Cost of energy = (Amount of energy) (Unit cost)=
= (87651.68kWh) ($0.08/kWh) = $7012.13
Watt
9
.
10005
8
.
3483
1
.
6522
qtotal
yr
/
kWh
68
.
87651
365
x
yr
/
h
24
kWx
9
.
005
..
10
time
x
q
Q
41. 2021-8 41
Heat Conduction
Summary of Thermal Resistances
Thermal
Resistance
Equation for Heat
Flow
Geometry
Plane Wall
Long Hollow
cylinder
Hollow sphere
Convection surface
L
)
T
T
(
kA
q 2
1
KA
L
)
r
/
r
ln(
)
T
T
(
L
k
q
i
o
o
i
2
kL
r
r i
o
2
)
/
ln(
i
o
o
i
i
o
r
r
)
T
T
(
k
r
r
q
4
k
r
r
r
r
i
o
i
o
4
)
T
T
(
hA
q s
hA
1
42. 2021-8 42
Critical Radius of Insulation
Critical Radius of Insulation
• Adding more insulation to a wall or to the attic always
decreases heat transfer since the heat transfer area is
constant, and adding insulation always increases the
thermal resistance of the wall without increasing the
convection resistance.
• In a cylindrical pipe or a spherical shell, the additional
insulation increases the conduction resistance of the
insulation layer but decreases the convection resistance
of the surface because of the increase in the outer
surface area for convection.
• The heat transfer from the pipe may increase or
decrease, depending on which effect dominates.
43. 2021-8 43
Critical Radius of Insulation
The critical radius of insulation for a cylindrical body
The critical radius of insulation for a spherical body
• Insulating hot-water pipes or hot-water tanks
• Electric wires
• The rate of heat transfer from the cylinder increases with the addition of
insulation for r2 < rcr, reaches a maximum when r2 = rcr, and starts to
decrease for r2 > rcr.
• Thus, insulating the pipe may actually increase the rate of heat transfer
from the pipe instead of decreasing it when r2 < rcr.
45. 2021-8 45
Heat Generation in a Solid
Heat Generation
• Examples:
electrical energy being converted to heat,
fuel elements of nuclear reactors,
exothermic chemical reactions.
• Heat generation is a volumetric phenomenon.
• The rate of heat generation units : W/m3 or Btu/h·ft3.
• The rate of heat generation in a medium may vary with time
as well as position within the medium.
46. 2021-8 46
Heat Generation in a Solid
e
gen
gen R
I
E
q 2
)
/
( 3
2
m
W
Volume
q
V
R
I
V
E
q
gen
e
gen
Where Re = electrical resistance
c
e
A
L
R
where ;
= resistivity of the metal ( .m) in data book table A.14;
L = length of the wire or bar (m);
Ac = Cross-Sectional area of the wire or bar (m2 )
bar
gular
rec
for
t
b
A
rod
or
wire
for
d
A
c
c
tan
4
/
2
t = thickness of bar and b is width of bar
Electrical Energy
The source may be uniformly distributed, as in the conversion from electrical to thermal energy (Ohmic heating):
47. 2021-8 47
Heat Generation in Plane Wall
q1
q2
0
dx
dT
s
s
s T
T
T
2
1
Twice integration
1
C
k
x
q
dx
dT
Steady state
, B.C: at x=0 → dT/dx=0 , 0
1
C
2
2
2
C
k
x
q
T
s
s
s T
T
T
T
L
x
2
,
1
,
k
L
q
T
C s
2
2
2
Second integration
Temperature distribution
)
1
(
2
2 2
2
2
2
2
L
x
k
L
q
T
x
L
k
q
T
T s
s
x
a) Symmetrical boundary conditions
b) Adiabatic surface at mid-plane
q
L
48. 2021-8 48
Heat Generation in Plane Wall
• maximum temperature exist at the midplane
max
0 T
T
T
x o
k
L
q
T
T
T s
o
2
2
max
• To find surface temperature
conv
gen q
q
)
)(
2
(
T
T
A
h
volume
x
q s
)
)(
2
(
)
2
(
T
T
A
h
LA
q s
h
L
q
T
Ts
• The rate of heat transfer from each surface
2
1
2
q
q
volume
x
q
R
I
qgen
AL
q
k
L
q
kA
dx
dT
kA
q
L
x
)
(
1
AL
q
k
L
q
kA
dx
dT
kA
q
L
x
)
(
2
volume
x
q
L
A
q
q
q
qgen
)
2
(
2
1
49. 2021-8 49
Heat Generation in Plane Wall
c) Asymmetrical boundary conditions for Ts,1> Ts,2
xm
0
m
x
x
dx
dT
q2
q1
qgen
L
Find
• The temperature distribution equation
• Value and position (location) of Tmax, xm
• The rate of heat transfer at each surface of the end q1 and q2
k
q
dx
T
d
2
2
, Twice integration
1
C
k
x
q
dx
dT
2
1
2
2
C
x
C
k
x
q
T x
BC: at 1
2
1
0 ,
, s
s T
C
T
T
x
at
2
,
s
T
T
L
x
1
1
2
2
2
,
, s
s T
L
C
k
L
q
T
L
T
T
k
L
q
C
s
s 1
2
1
2
,
,
-------(1)
50. 2021-8 50
Heat Generation in Plane Wall
Sub. The values of C1 and C2 in Eqn. 1
• The temperature distribution
1
1
2
2
2
2
,
,
, )
( s
s
s
x T
k
L
q
T
T
L
x
k
x
q
T
• The position of maximum temperature at x= xm
0
dx
dT
x
x
at m
q
kC
x
C
k
x
q
m
m
1
1
0
• Sub: in Eqn. (2)
max
T
T
• The rate of heat transfer
1
0
1 kAC
dx
dT
kA
q
x
)
k
L
q
(- 1
2 C
kA
dx
dT
kA
q
L
x
volume
x
q
q
q
q
q gen
total
2
1
xm
0
m
x
x
dx
dT
q2
q1
qgen
L
51. 2021-8 51
Heat Conduction in a Plane Wall
Example 2.5.
Plane wall of material A with internal heat generation is insulated
on one side and bounded by a second wall of material B, which is
without heat generation and is subjected to convection cooling.
Find:
1) Sketch of steady-state temperature distribution in the composite.
2) Inner T1 and outer surface To temperatures of the composite.
Sol:
qgen
A
gen L
A
q
A
of
volume
x
q
q
C
x
x
T
T
x
X
q
h
T
T
K
L
T
T
h
K
L
T
T
R
R
T
T
L
q
q
o
B
B
B
B
conv
B
cond
A
105
1000
75000
30
1000
05
.
0
10
5
.
1
30
1000
1
30
05
.
0
10
5
.
1
1
1
6
2
2
6
2
2
1
1
,
1
52. 2021-8 52
Heat Conduction in a Plane Wall
Example 2.5. (cont.)
qgen
C
x
q
x
h
k
L
T
T o
B
B
115
85
30
75000
1000
1
150
02
.
0
30
1
1
• The maximum temperature To
C
x
x
x
T
T
K
L
q
T
T
T
o
A
A
o
0
2
6
max
2
1
max
140
25
115
75
2
)
05
.
0
(
10
5
.
1
115
2
53. 2021-8 53
Heat Generation in Radial Systems
Cylindrical (Tube) Wall Spherical Wall (Shell)
Solid Cylinder (Circular Rod) Solid Sphere
54. 2021-8 54
Heat Generation in Radial Systems
Steady state and 1-D
with heat generation
Solid Cylinder
0
1
k
q
dr
dT
r
dr
d
r
k
r
q
dr
dT
r
dr
d
Tmax
Ts
By integration
1
2
2
C
k
r
q
dr
dT
r
B.C at 0
0
0 1
C
dr
dT
r
k
r
q
dr
dT
2
Second integration
2
2
4
C
k
r
q
T
s
o T
T
r
r
k
r
q
T
C s
4
2
0
2
At
55. 2021-8 55
Heat Generation in Radial Systems
• The temperature distribution
)
( 2
2
4
r
r
k
q
T
T o
s
r
At max
T
T
r
0
k
r
q
T
T
T o
s
o
4
2
max
• To find Ts
conv
gen q
q
)
)(
2
(
2
T
T
L
r
h
L
r
x
q s
o
o
h
r
q
T
T o
s
2
• The maximum temperature
Tmax
Ts
56. 2021-8 56
Heat Generation in Radial Systems
Hollow Cylinder
Steady state and 1-D
with heat generation
0
1
k
q
dr
dT
r
dr
d
r
k
r
q
dr
dT
r
dr
d
1
2
2
C
k
r
q
dr
dT
r
Second integration
By integration
2
1
2
4
C
r
C
k
r
q
T
ln
B.C: at
k
r
q
C
dr
dT
r
r o
o
2
0
2
1
0
T
T
r
r o
at
i
i
T
T
r
r
or
57. 2021-8 57
Heat Generation in Radial Systems
• The temperature distribution
• To find rate of heat transfer
conv
gen q
q
• The maximum temperature
r
r
k
r
q
r
r
k
q
T
T o
o
o
o ln
)
(
2
4
2
2
2
i
i
i
i
r
r r
C
k
r
q
k
dr
dT
r
k
q 1
2
2
2
2
)
( 2
2
2
2
2
2
2 i
o
i
o
i
i
r
r
r
r
q
r
r
k
q
k
r
q
k
q
)
(
)
( ,
T
T
L
r
h
L
r
r
q i
s
i
i
o
2
2
2
)
(
)
(
,
T
T
r
r
r
q
h
i
s
i
i
o
2
2
2
58. 2021-8 58
Heat Generation in Radial Systems
Solid Sphere
Steady state and 1-D
with heat generation
0
2
k
q
dr
dT
r
dr
d
2
r
1
1
3
2
3
1
C
k
r
q
dr
dT
r
By integration
59. 2021-8 59
Heat Generation in Radial Systems
at
)
( 2
2
6
r
r
k
q
T
T o
s
r
max
T
T
r
0
k
r
q
T
T
T o
s
o
6
2
max
• To find Ts
conv
gen q
q
)
)(
(
T
T
r
h
r
x
q s
o
o
2
3
4
3
4
h
r
q
T
T o
s
3
• The temperature distribution
• The maximum temperature
60. 2021-8 60
Heat Generation in Radial Systems
Example 2.6.
Known: Long rod experiencing uniform volumetric generation encapsulated by a circular sleeve exposed to convection.
Find: (a) Temperature at the interface between rod and sleeve and on the outer surface, (b) Temperature at center of rod.
Assumption: (1) One-dimensional radial conduction in rod and sleeve, (2) Steady-state conditions, (3) Uniform volumetric
generation in rod, (4) Negligible contact resistance between rod and sleeve.
Analysis: (a) Construct a thermal circuit for the sleeve,