Heat and Mass Transfer: Free Convection : Formulas and solved examples... Use of Heat and Mass transfer data book is necessary in order to obtain certain values.
this is my presentation about 2nd law of thermodynamic. this is part of engineering thermodynamic in mechanical engineering. here discussed about heat transfer, heat engines, thermal efficiency of heat pumps and refrigerator and its equation for perfect work done with best figure and table wise discription, entropy and change in entropy, isentropic process for turbines and compressor and many more.
Overview
Heat transfer is the science that seeks to predict the energy transfer that may take place between material bodies as result of temperature difference.
Heat is energy is transit, the transfer of energy as heat, however, occurs at the molecular level as result of temperature difference. The symbol (Q) is used for the heat. In engineering applications, the heat unit is (British Thermal Units) or (BTU).
Understand the physical mechanism of convection and its classification.
Visualize the development of velocity and thermal boundary layers during flow over surfaces.
Gain a working knowledge of the dimensionless Reynolds, Prandtl, and Nusselt numbers.
Distinguish between laminar and turbulent flows, and gain an understanding of the mechanisms of momentum and heat transfer in turbulent flow.
Derive the differential equations that govern convection on the basis of mass, momentum, and energy balances, and solve these equations for some simple cases such as laminar flow over a flat plate.
Non dimensionalize the convection equations and obtain the functional forms of friction and heat transfer coefficients.
Use analogies between momentum and heat transfer, and determine heat transfer coefficient from knowledge of friction coefficient.
To demonstrate the effect of cross sectional area on the heat rate.
To measure the temperature distribution for unsteady state conduction of heat through the uniform plane wall and the wall of the thick cylinder.
The experiment demonstrates heat conduction in radial conduction models It
allows us to obtain experimentally the coefficient of thermal conductivity of some unknown materials and in this way, to understand the factors and parameters that affect the rates of heat transfer.
To understand the use of the Fourier Rate Equation in determining the rate of heat flow for of energy through the wall of a cylinder (radial energy flow).
To use the equation to determine the constant of proportionality (the thermal conductivity, k) of the disk material.
To observe unsteady conduction of heat
Definition and Requirements
Types of Heat Exchangers
The Overall Heat Transfer Coefficient
The Convection Heat Transfer Coefficients—Forced Convection
Heat Exchanger Analysis
Heat Exchanger Design and Performance Analysis
this is my presentation about 2nd law of thermodynamic. this is part of engineering thermodynamic in mechanical engineering. here discussed about heat transfer, heat engines, thermal efficiency of heat pumps and refrigerator and its equation for perfect work done with best figure and table wise discription, entropy and change in entropy, isentropic process for turbines and compressor and many more.
Overview
Heat transfer is the science that seeks to predict the energy transfer that may take place between material bodies as result of temperature difference.
Heat is energy is transit, the transfer of energy as heat, however, occurs at the molecular level as result of temperature difference. The symbol (Q) is used for the heat. In engineering applications, the heat unit is (British Thermal Units) or (BTU).
Understand the physical mechanism of convection and its classification.
Visualize the development of velocity and thermal boundary layers during flow over surfaces.
Gain a working knowledge of the dimensionless Reynolds, Prandtl, and Nusselt numbers.
Distinguish between laminar and turbulent flows, and gain an understanding of the mechanisms of momentum and heat transfer in turbulent flow.
Derive the differential equations that govern convection on the basis of mass, momentum, and energy balances, and solve these equations for some simple cases such as laminar flow over a flat plate.
Non dimensionalize the convection equations and obtain the functional forms of friction and heat transfer coefficients.
Use analogies between momentum and heat transfer, and determine heat transfer coefficient from knowledge of friction coefficient.
To demonstrate the effect of cross sectional area on the heat rate.
To measure the temperature distribution for unsteady state conduction of heat through the uniform plane wall and the wall of the thick cylinder.
The experiment demonstrates heat conduction in radial conduction models It
allows us to obtain experimentally the coefficient of thermal conductivity of some unknown materials and in this way, to understand the factors and parameters that affect the rates of heat transfer.
To understand the use of the Fourier Rate Equation in determining the rate of heat flow for of energy through the wall of a cylinder (radial energy flow).
To use the equation to determine the constant of proportionality (the thermal conductivity, k) of the disk material.
To observe unsteady conduction of heat
Definition and Requirements
Types of Heat Exchangers
The Overall Heat Transfer Coefficient
The Convection Heat Transfer Coefficients—Forced Convection
Heat Exchanger Analysis
Heat Exchanger Design and Performance Analysis
Experiment on single-mode feedback control of oscillatory thermocapillary con...IJERA Editor
Feedback control was carried out on nonlinear thermocapillary convections in a half-zone liquid bridge of a high
Prandtl number fluid under normal gravity. In the liquid bridge, the convection changed from a two-dimensional
steady flow to a three-dimensional oscillatory flow at a critical temperature difference. Feedback control was
realized by locally modifying the free surface temperature using local temperature measured at different
positions. The present study aims to confirm whether the control method can effectively suppress oscillatory
flows with every modal structure. Consequently, the control was theoretically verified to be effective for
oscillatory flows with every modal structure in a high Marangoni number range.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
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Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
2. Forced Convection – Internalflow – Home work
Air at2 bar pressure and 60oC isheated asitflowsthrough a tube ofdiameter 25 m m ata
velocityof15 m/s.Ifthewalltemperature ismaintained at100oC, findtheheattransferper
unitlength ofthe tube.How much would be the bulk temperature increase over one meter
lengthofthetube..
Given:
Pressure,p = 2x 105N/m2
Velocity,U = 15m/s
Diameter,D = 0.025m
Inletairtemperature,Tmi = 60oC
Length,L = 1 m
Walltemp = 100oC
To find: i)Heat transferrate(Q ) ii)Riseinbulktemperature (ΔT)
Solution:
Given pressureisabove patm. So ρ and γvarieswithpressure.
(ValueofPr,k,Cp willremain same)
γ= γatm x(patm/pgiven)
γ= 9.485x10-6m2/s
ρ = (p /RT)
ρ = 2.092kg/m3
Propertiesofairat60oC
ρ = 1.060kg/m3
γ= 18.97x10-6m2/s
Pr= 0.696
k = 0.02896W/mK
Re = (UD/γ)= 3.95x 104
SinceRe > 2300,flowisturbulent.
Re > 10000and Pr valueisinbetween 0.6and 160.
So, Nu =0.023(Re)0.8(Pr)n
The processinvolvedisheating,hence n = 0.4
Nu = 94.7
Heat transfercoefficient,h = Nu k /D
h = 109.7W/m2K
3. Forced Convection – Internalflow – Home work
Mass flowrate,m = ρAU
m = 0.015kg /s
Heat transfer,Q = m Cp ∆T
Q = m Cp (Tmo -Tmi) = 0.015x1005x (Tmo –60) (Cp forairis1005J/kgK)
Heat transfer,Q = hA ∆T = h πDL (Tw-Tm)
Q = 109.7xπ x0.025x1 x(100–Tm)
Q = 109.7xπ x0.025x1 x(100–[Tmi + Tmo) /2])
Q = 109.7xπ x0.025x1 x(100–[60+ Tmo) /2])
EquatingtheequationsforQ and solvingforTmo, we getTmo = 77.78oC
Riseinbulktemperature (ΔT) = (Tmo –Tmi)
ΔT = 17.78oC
Heat transfer,Q = m Cp ∆T = m Cp (Tmo -Tmi)
Q = 268.03W
4. Free convection
Free convection – If the fluid motion is produced due to change in density
resulting from temperature gradients, the mode of heat transfer issaid to be
freeornaturalconvection.
Exam ples:
Heatingofrooms by useofradiators
Cooling of transmission lines,electric transformers and rectifiers
Wallofairconditioninghouse,Condenser ofsome refrigerationunits.
The rateofheattransferiscalculatedusingthegeneralconvectionlaw
Q = hA (Tw–T∞)
Where Q = heattransferrateinWatts
A =Areainm2
Tw = SurfacetemperatureinoC
T∞ = FluidtemperatureinoC
5. 1. Film temperature,Tf= (Tw+ T∞) /2,
whereTw– Surfacetemperature inoC and T∞– Fluidtemperature inoC
2. Coefficientofthermal expansion
β = 1/Tf (TfinK)
3. NusseltNumber, Nu = hL/k,
where h – Heat transfercoefficient,W/m2K
L –Length,m,
k –Thermal conductivity,W/mK
4. Grashof Number forverticalplate,Gr = (gxβ x L3 x ∆T) /γ2
(HMT Data book,Pg:134)
where L – Lengthoftheplate,
∆T –(Tw–T∞)
γ– Kinematic viscosity,m2/s,
β –Coefficientofthermal expansion
5. IfGrPr valueislessthan109,flowislaminar.IfGrPr valueisgreaterthan109,flowis
turbulent.
i.e.,Gr Pr < 109,->Laminar flow
Gr Pr > 109,->Turbulentflow
Formula used forFree Convection
6. 6. Forlaminarflow(Verticalplate):
NusseltNumber, Nu = 0.59(GrPr)0.25
Thisexpressionisvalidfor,104< Gr Pr < 109 (HMT Data book,Pg:135)
7. Forturbulentflow(Verticalplate):
NusseltNumber, Nu = 0.10[GrPr]0.333 (HMT Databook,Pg:135)
8. Heat transfer(Verticalplate):Q = hA (Tw–T∞)
9. Grashof Number forHorizontalplate:Gr = (gx β x Lc
3 x
∆T) /γ2 where,Lc –Characteristiclength= W /2,
W –Width oftheplate (HMT Data book,Pg:135)
10. Forhorizontalplate,upper surfaceheated,
NusseltNumber, Nu = 0.54[Gr Pr]0.25
Thisexpressionisvalidfor,2x104< Gr Pr < 8x106 (HMT Databook,Pg:135)
NusseltNumber, Nu = 0.15[GrPr]0.333
Thisexpressionisvalidfor,8x106< Gr Pr < 1011 (HMT Data book,Pg:135)
11. Forhorizontalplate,lowersurfaceheated,
NusseltNumber, Nu = 0.27[GrPr]0.25
Thisexpressionisvalidfor,105< Gr Pr < 1011 (HMT Data book,Pg:136)
Formula used forFree Convection
7. Formula used forFree Convection
12. Heat transfer(Horizontalplate),Q = (hu + hl)xA x (Tw–T∞)
where hu –Upper surfaceheated,heattransfercoefficientW/m2K,
hl–Lower surfaceheated,heattransfercoefficientW/m2K
13. Forhorizontalcylinder,Nu = C [Gr Pr ]m (HMT Data book,Pg:137)
14. Forhorizontalcylinder,
Heat transfer,Q = hA (Tw–T∞)
whereA = π D L
• (HMT Data book,Pg:137)For sphere,NusseltNumber, Nu = 2+ 0.43[Gr Pr]0.25
Heat transfer,Q = h xA x(Tw–T∞)
whereA = 4π r2
GrDPr C m
10-10 to 10-2 0.675 0.058
10-2 to 102 1.02 0.148
102 to 104 0.85 0.188
104 to 107 0.48 0.25
107 to 1012 0.125 0.333
8. Formula used forFree Convection
16. Boundary layerthickness
δx= [3.93x(Pr)-0.5(0.952+ Pr)0.25x(Gr)-0.25] (HMT Data book,Pg:134)
17. Maximum velocity,
umax = 0.766x γx (0.952+ Pr)-1/2x[{gβ (Tw–T∞)} /γ2]1/2 x χ1/2
9. Free Convection
1)A verticalplateof0.75m heightisat170oC and isexposedtoairatatemperature of
105oC and one atmosphere. Calculate:
(i)Mean heattransfercoefficient,
(ii)Rate ofheattransferperunitwidthoftheplate
Given:
Length,L = 0.75m Wall temperature,Tw = 170oC Fluidtemperature,T∞ = 105oC
To find:1.Heat transfercoefficient,(h )2.Heat transfer(Q )perunitwidth
Solution:
Velocity(U )isnotgiven.So
this isnatural convection
typeproblem.
FilmTemp, Tf = (Tw+ T∞) /2
Tf= 137.5oC
Propertiesofairat
137.5oC ~ 140oC
(HMT Data book,Pg:33)
ρ = 0.854kg/m3
γ= 27.80x10-6m2/s
Pr= 0.684
k = 0.03489W/mK
Coefficientofthermal expansion,
β = 1/(TfinK) = 1 /(137.5+ 273)= 2.4x 10-3K-1
GrashofNumber,
Gr = (gxβ x L3 x∆T) /γ2(HMT Data book,Pg:134)
8Gr = 8.35x10
Gr Pr = 5.71x108
SinceGr Pr < 109,flowislaminar.Gr Pr valueisinbetween
104and 109i.e.,104< Gr Pr < 109
(HMT Data book,Pg:135)
Q = hA (Tw–T∞ )= h xL W x(Tw–T∞ ) (Given,W = 1m)
Heat transfer,Q = 206.8W
So Nu = 0.59(GrPr)0.25
Nu = 91.21
Heat transfercoefficient,h = Nu k /L
h = 4.24W/m2K
10. Free Convection
2)A verticalplateof0.7m wideand 1.2m heightmaintained atatemperature of90oC ina
room at30oC.Calculatetheconvectiveheatloss.
Given:
Walltemperature,Tw = 90oC RoomWidth,W = 0.7m Height(or)Length,L = 1.2m
temperature,T∞ = 30oC
To find:Convectiveheatloss(Q )
Solution:
Velocity(U )isnotgiven.So
this isnatural convection
typeproblem.
FilmTemp, Tf = (Tw+ Tά) /2
Tf= 60oC
Properties of air at 60oC
(HMT Data book,Pg:33)
ρ = 1.060kg/m3
γ= 18.97x10-6m2/s
Pr= 0.696
k = 0.02896W/mK
Convectiveheattransfercoefficient,h = Nu k /L
h = 4.32W/m2K
Q = hA (Tw–T∞ )= h xL W x(Tw–T∞ )= 218.16
Convectiveheatloss,Q = 218.16W
Coefficientofthermal expansion,
β = 1/(TfinK) = 1 /(60+ 273)= 3 x 10-3K-1
Grashof Number, Gr = (gxβ x L3 x∆T) /γ2
Gr = 8.4x109
Gr Pr = 5.9x 109 SinceGr Pr > 109,flowisturbulent.
So Nu = 0.10(GrPr)0.333 (HMT Data book,Pg:135)
Nu = 179.3
11. Free Convection
3)A horizontalplateof800m m long,70m m wideismaintained ata temperature 140oC ina
largetankoffullofwaterat60oC.Determine thetotalheatlossfrom theplate.
Given:
Platetemperature,Tw = 140oCHorizontal platelength,L = 0.8m Wide,W = 0.070m
Fluidtemperature,T∞ = 60oC
To find:Totalheatlossfrom theplate.
Solution:
FilmTemp, Tf = (Tw+ T∞ )/2
Tf= 100oC
Propertiesofwaterat100oC
(HMT Data book,Pg:21)
ρ = 961kg/m3
γ= 0.293x10-6m2/s
Pr= 1.740
k = 0.6804W/mK
For horizontalplate,Lc –Characteristiclength= W /2 = 0.035m
(Pg:135)
βwater = 0.76 x 10-3 K-1
(HMT Data book,Pg:29)
cGrashof Number, Gr = (gx β xL 3 x∆T) /γ2 (Pg:134)
Gr = 0.297x109
Gr Pr = 0.518x109
Gr Pr valueisinbetween8x106and 1011
i.e.,8x106< Gr Pr < 1011
So,forhorizontalplate,uppersurfaceheated,
Nu = 0.15(GrPr)0.333
Nu = 119.66 Heat transfercoefficientforuppersurfaceheated,
hu = Nu k /Lc = 2326.19W/m2K
12. Free Convection
For horizontalplate,Lower surfaceheated,
Nu = 0.27[GrPr]0.25 (HMT Data book,Pg:136)
Nu = 40.73
Heat transfercoefficientforlowersurfaceheated,hl= Nu k /Lc
hl= 791.79W/m2K
Totalheattransfer,Q = (hu + hl)A ∆T
= (hu + hl)xL W x(Tw–T∞ )
Q = 13968.55W
Totalhealloss,Q = 13,968.55W
13. Free Convection
4)Airflowsthrougha longrectangular300 m m heightx 800 m m widthair-conditioningduct,
theouterduct surfacetemperature isat20oC. Iftheduct isuninsulatedand exposed toairat
40oC. Calculatetheheatgainedby theduct,assuming ducttobehorizontal.
Given:
Width,W = 0.8m Surfacetemperature,Tw = 20oCLength (or)Height,L = 0.3m
Fluidtemperature,T∞ = 40oC
To find:Rateofheatgained(Q)
Solution:
FilmTemp, Tf = (Tw+ T∞ )/2
Tf= 30oC
Properties of air at 30oC
(HMT Data book,Pg:33)
ρ = 1.165kg/m3
γ= 16x10-6m2/s
Pr= 0.701
k = 0.02675W/mK
β = 1/(TfinK)
β = 3.3x10-3K-1
Sincetheductislaidhorizontally,theheatgainisby free
convection from theverticaland thehorizontaltopand
bottomsides.
Free convection from the vertical sides:
Grashof Number, Gr = (gxβ x L3 x∆T) /γ2
Gr = 6.8x107
Gr Pr = 4.7x107
SinceGr Pr < 109,flowislaminar.
Gr Pr valueisinbetween104and 109i.e.,104< Gr Pr < 109
So,Nu = 0.59(Gr Pr)0.25 (HMT Data book,Pg:135)
Nu = 48.85
14. Free Convection
Average heattransfercoefficient,h = Nu k /L
hv= 4.35W/m2K
Heat transferfrom verticalside,Qv = hvA (T∞–Tw) = h xL W x (T∞–Tw) = 20.88W
Heat transferfrom bothsideofverticalsides,Qv = 2xQv = 41.76W
Heat transferfrom horizontalsides:
For horizontalplate,Characteristiclength,Lc = W /2 = 0.4
Grashof Number, Gr = (gxβ xLc
3 x∆T) /γ2
Gr = 1.6x108
Gr Pr = 1.13x108
For horizontalplate,uppersurfaceheated, 8 x 106< Gr Pr < 1011.
Nu = 0.15[GrPr]0.333= 72.17
Heat transfercoefficientforuppersurfaceheated, hhu = Nu k /Lc = 4.82W/m2K
For horizontalplate,lowersurfaceheated, 105< Gr Pr < 1011
Nu = 0.27[GrPr]0.25 = 27.8
Heat transfercoefficientforlowersurfaceheated,hhl= Nu k /Lc = 1.85W/m2K
Heat transferfrom horizontalplate,Q H = (hu + hl)A ∆T = (hu + hl)x L W x(T∞–Tw) = 32.05W
Totalheattransfer,Q = {Heat transferfrom verticalsides}+ {Heat transferfrom horizontalsides}
Q = 73.8W
15. 5)A horizontalwireof3m m diameter ismaintained at100oC and isexposedtoairat20o
C. Calculatethefollowing:
1.Heat transfercoefficient,
2.Maximum current.Take resistanceofwireis7 ohm/m.
Free Convection
G iven:
Horizontalwirediameter,D = 3x10-3m
Airtemperature,T∞ = 20oC
Surface temperature, Tw = 100o C
Resistanceofthewire,R = 7ohm/m
To find:1.Heat transfercoefficient(h),2.Maximum current(I).
Solution:
FilmTemp, Tf = (Tw+ T∞) /2
Tf= 60oC
Propertiesofairat60oC
ρ = 1.060kg/m3
γ= 18.97x10-6m2/s
Pr= 0.696
k = 0.02896W/mK
(Pg:137)
(Pg:134)
β = 1/(TfinK)
β = 3 x10-3K-1
Grashoff Number, Gr = (gxβ xD3 x∆T) /γ2
Gr = 176.64
For horizontalcylinder,Nu = C [Gr Pr]m
Gr Pr = 122.9, CorrespondingC =0.85and m = 0.188
Nu = 2.1
Heat transfercoefficient,h = Nu k /D
h = 20.27W/m2K
Heat transfer,Q = h A (Tw–Tα) =h x π DL x(Tw–T∞ )= 15.2W/m
Heat transfer,Q = I2R
Maximum current,I= (Q/R)1/2= 1.47Amps /m
16. Free Convection
6)A Sphere ofdiameter 20 m m isat300oC isimmersed inairat25oC.Calculatetheconvective
heatloss.
Given:
Diameter ofsphere,D = 0.020m Surfacetemperature,Tw = 300oC Fluidtemp,T∞ = 25oC
To find:Convectiveheatloss,(Q )
Solution:
FilmTemp, Tf = (Tw+ T∞) /2
Tf= 162.5oC
Propertiesofairat
162.5oC ~ 160oC
ρ = 0.815kg/m3
γ= 30.09x10-6m2/s
Pr= 0.682
k = 0.03640W/mK
(Pg:137)
Heat transfercoefficient,h = Nu k /D
h = 14.51W/m2K
(Pg:134)
Heat transfer,Q =h A (Tw–T∞) =h x 4π r2x(Tw–T∞)
Convectiveheatloss,Q = 5.01W
β = 1/(TfinK)
β = 2.29x10-3K-1
Grashof Number, Gr = (gxβ xD3 x∆T) /γ2
Gr = 54,734.2
Gr Pr= 37,328.7
For sphere,[1< Gr Pr < 105]
Nu = 2+0.43[Gr Pr]0.25
Nu = 7.97
17. A vertical plate of 40 cm long ismaintained at 80 oC and isexposed to air at 22 oC.
Calculatethefollowing
i)Boundary layerthicknessatthetailingedgeoftheplate.
ii)The same plateisplacedina wind tunneland isblown overitata velocityof5
m/s. Calculatetheboundary layerthickness.
iii)Average heattransfercoefficientfornaturaland forcedconvectionfor
above mentioneddata.
A horizontal pipe of 15 cm diameter ismaintained at wall temperature of 200 oC and is
exposed toairat37 oC. Calculate the heat loss(including radiativeloss)per meter length
ifemissivityofpipeis0.92.
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