Lumped Mass Heat Transfer Experiment · Lumped Mass Heat Transfer Experiment I Use water bath to...
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Lumped Mass Heat Transfer ExperimentThermal Network Solution with TNSolver
Bob CochranApplied Computational Heat Transfer
Seattle, [email protected]
ME 331 Introduction to Heat TransferUniversity of Washington
November 21, 2017
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Outline
I Lumped Mass Heat Transfer ExperimentI Math ModelI TNSolver Input FileI Test Data Analysis
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ObjectiveLumped Mass Heat Transfer Experiment
I Determine the convection heat transfer coefficient for avariety of shapes
I Both natural (free) and forced external convectionI Surface radiation effects due to differences in emissivityI Fin effect of the stem
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ShapesLumped Mass Heat Transfer Experiment
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Shape Geometry and PropertiesLumped Mass Heat Transfer Experiment
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Shape Material PropertiesLumped Mass Heat Transfer Experiment
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ApproachLumped Mass Heat Transfer Experiment
I Use water bath to provide initial temperature of the objectI A thermocouple is placed through the stem into the center
of the objectI A second thermocouple will record the ambient air
temperatureI For natural convection let the object cool to 50 C, which
may take up to 45 minutesI For forced convection turn on the fan and let the object
cool to 50 C
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Water Bath for Initial Temperature ConditionLumped Mass Heat Transfer Experiment
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Forced Convection with FanLumped Mass Heat Transfer Experiment
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The Lumped Capacitance Method: Biot NumberMath Model
The Biot number, Bi , is:
Bi =hLc
k< 0.1 Lc =
volumesurface area
=VA
where the characteristic length, Lc , is:
Brick Cylinder SphereHWL
2(HW+LH+WL)πr2L
2πr2+2πrL = DL2(D+2L)
(4/3)πr3
4πr2 = D6
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Convection CorrelationsMath Model
The heat flow rate is:
Q = hA(Ts − T∞)
where h is the heat transfer coefficient, Ts is the surfacetemperature and T∞ is the fluid temperature.Correlations in terms of the Nusselt number are often used todetermine h:
Nu =hLc
kh =
kNuLc
where Lc is a characteristic length associated with the fluid flowgeometry.
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External Forced Convection over a SphereMath Model
Equation (7.48), p. 444, in [BLID11]
NuD = 2 +(
0.4Re1/2D + 0.06Re2/3
D
)Pr0.4
(µ
µs
)1/4
where D is the diameter of the sphere and the Reynoldsnumber, ReD, is:.
ReD =ρuDµ
=uDν
Note that the fluid properties are evaluated at the fluidtemperature, T∞, except the viscosity, µs, evaluated at thesurface temperature, Ts.
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External Natural Convection over a SphereMath Model
Equation (9.35), page 585 in [BLID11]
NuD = 2 +0.589Ra1/4
D[1 + (0.469/Pr)9/16
]4/9
where D is the diameter of the sphere and the the Rayleighnumber, RaD, is:.
RaD = GrPr =gρ2cβD3 (Ts − T∞)
kµ=
gβD3 (Ts − T∞)
να
Note that the fluid properties are evaluated at the filmtemperature, Tf :
Tf =Ts + T∞
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Surface RadiationMath Model
Radiation exchange between a surface and large surroundingsThe heat flow rate is (Equation (1.7), p. 10 in [BLID11]):
Q = σεsAs(T 4s − T 4
sur )
where σ is the Stefan-Boltzmann constant, εs is the surfaceemissivity and As is the area of the surface.Note that the surface area, As, must be much smaller than thesurrounding surface area, Asur :
As � Asur
Note that the temperatures must be the absolute temperature,K or ◦R
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Radiation Heat Transfer CoefficientMath Model
Define the radiation heat transfer coefficient, hr (seeEquation (1.9), page 10 in [BLID11]):
hr = εσ(Ts + Tsur )(T 2s + T 2
sur )
Then,
Q = hr As(Ts − Tsur )
Note:
I hr is temperature dependentI hr can be used to compare the radiation to the convection
heat transfer from a surface, h (if Tsur and T∞ have similarvalues)
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Range of Radiation Heat Transfer CoefficientMath Model
" T = Ts - T
1 (C)
0 20 40 60 80 100
hr (
W/m
2-K
)
0
2
4
6
8
10Radiation Heat Transfer Coefficient, h
r, for T
1 = 25 C
0s = 0.01
0s = 0.1
0s = 0.5
0s = 1.0
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TNSolver Input File
I What do we need in the input file for the lumped mass heattransfer experiment?
I Transient convection problem, with surface radiationI Lumped capacitance approximation, Bi < 0.1, so no
conduction in the solid object
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Solution ParametersTNSolver Input File
Begin Solution Parameters
title = Lumped Mass Heat Transfer Experimenttype = transientbegin time = (R)end time = (R)time step = (R)number of time steps = (I)
End Solution Parameters
(R) is a single real number(I) is a single integer number
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NodesTNSolver Input File
Define nodes which have a volume
Begin Nodes
! label rho*c V(S) (R) (R)
End Nodes
(S) is a single character string
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Convection ConductorTNSolver Input File
Qij = hA(Ts − T∞)
The heat transfer coefficient h is known.
Begin Conductors
! label type nd_i nd_j parameters(S) convection (S) (S) (R) (R) ! h, A
End Conductors
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External Forced Convection (EFC) ConductorTNSolver Input File
Qij = hA(Ts − T∞)
Heat transfer coefficient, h, is evaluated using the correlationfor external forced convection from a sphere with diameter Dand fluid velocity of u.
Begin Conductors! Ts Tinf! label type nd_i nd_j parameters
(S) EFCsphere (S) (S) (S) (R) (R) ! material, u, D
End Conductors
Note that Re, Nu and h are reported in the output file.21 / 39
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External Natural Convection (ENC) ConductorThermal Network Model
Qij = hA(Ts − T∞)
Heat transfer coefficient, h, is evaluated using the correlationfor external natural convection from a sphere with diameter D.
Begin Conductors! Ts Tinf! label type nd_i nd_j parameters
(S) ENCsphere (S) (S) (S) (R) ! material, D
End Conductors
Note that Ra, Nu and h are reported in the output file.
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Surface Radiation ConductorTNSolver Input File
Qij = σεAs(T 4s − T 4
env )
σ is the Stefan-Boltzmann constant and ε is the surfaceemissivity.
Begin Conductors
! label type nd_i nd_j parameters(S) surfrad (S) (S) (R) (R) ! emissivity, A
End Conductors
Note that hr is reported in the output file.
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Boundary ConditionsTNSolver Input File
Specify a fixed temperature boundary condition, Tb, to one ormore nodes in the model.
Begin Boundary Conditions
! type Tb Node(s)fixed_T (R) (S ...)
End Boundary Conditions
(S ...) one or more character strings
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Initial ConditionsTNSolver Input File
Specify the initial temperatures, T0, to the nodes in the model.
Begin Initial Conditions
! T0 Node(s)(R) (S ...)
End Initial Conditions
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Example Input FileTNSolver Input File
Begin Solution Parameterstitle = Lumped Capacitance Experiment - Object Atype = transientbegin time = 0.0end time = 341.5time step = 0.5
! number of time steps = 20End Solution Parameters
Begin Nodes1 3925000.0 6.2892e-05 ! rho*c, V
End Nodes
Begin Conductorsconv convection 1 Tinf 12.0 0.0076 ! h, A
! conv EFCsphere 1 Tinf air 13.13 0.04934 ! material, u, D! conv ENCsphere 1 Tinf air 0.04934 ! material, Drad surfrad 1 Tinf 0.95 0.0076 ! emissivity, A
End Conductors
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Example Input File (continued)TNSolver Input File
Begin Boundary Conditionsfixed_T 25.0 Tinf
End Boundary Conditions
Begin Initial Conditions99.0 1 ! Ti, node
End Initial Conditions
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Verification using Analytical SolutionTNSolver Verification
Backward Euler time integration is used in TNSolver.How does time step affect accuracy?Utilitize the analytical solution Equation (5.6), p. 282 in[BLID11]:
T − T∞Ti − T∞
= exp
[−(
hAρcV
)t]
This is provided in the MATLAB function lumpedmass.m:
[T, Bi] = lumpedmass(time, rho, c, V, h, A, Ti, Tinf, k)
Example calculation using:D = 0.04931 m, Ti = 100 C, T∞ = 25 Cρ = 7850 kg/m3, c = 500 J/kg · Kh = 25.0 W/m2 · K , k = 62.0 W/m · K
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Verification using Analytical SolutionTNSolver Verification
time (s)0 500 1000 1500 2000
% e
rror
: 100
*(T
- T
ex)/
Tex
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5" t = 180 (s)" t = 90 (s)" t = 45 (s)" t = 22.5 (s)" t = 11.25 (s)" t = 1 (s)
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Experimental Data ProcessingExperimental Data Analysis
Data file ForcedConvection.txt snippet:
time,air,water,specimen0.5,25.0,100.25,64.5,1.0,24.75,100.0,65.75,1.5,24.75,100.0,67.25,2.0,24.75,100.0,68.5,
MATLAB commands:
>> exp = importdata(’ForcedConvection.txt’,’,’,1);>> exptime = exp.data(1:end,1);>> airT = exp.data(1:end,2);>> expT = exp.data(1:end,4);>> save FC.mat exptime airT expT
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Experiment Data Analysis with TNSolverExperimental Data Analysis
Three MATLAB functions are provided for a least-squaresanalysis using TNSolver.
1. Estimate convection heat transfer coefficient, h, for thenatural convection data using ls lumped h.m
2. Estimate velocity, u, for the forced convection data usingls lumped vel.m
3. Estimate surface emissivity, ε, using ls lumped emiss.m
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Estimate hExperimental Data Analysis
Example for object A, natural convection input file ANC.inp
1. Set begin and end time to match experimental data rangeI Set time step using insight from verification problem
2. Set material properties and object geometries in input file3. Set the boundary and initial conditions to match experiment4. Use the convection conductor
>> load NC_A>> h = linspace(10,35,10);>> [besth] = ls_lumped_h(’ANC’, exptime, expT, h)
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Estimate h Results and PlotExperimental Data Analysis
heat transfer coefficient, h10 15 20 25 30 35
resi
dual
100
200
300
400
500
600
700
800
900Best Fit h = 23.8889
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Estimate VelocityExperimental Data Analysis
Example for object A, forced convection input file AFC.inp
1. Set begin and end time to match experimental data rangeI Set time step using insight from verification problem
2. Set material properties and object geometries in input file3. Set the boundary and initial conditions to match experiment4. Use the EFCsphere convection conductor
>> load FC_A>> u = linspace(10,20,10);>> [bestvel] = ls_lumped_vel(’AFC’, exptime, expT, u)
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Estimate Velocity Results and PlotExperimental Data Analysis
velocity10 12 14 16 18 20
resi
dual
0
2000
4000
6000
8000
10000
12000
14000Best Fit Velocity = 13.3333
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Estimate EmissivityExperimental Data Analysis
Example for object A, forced convection input file AFC.inp
1. Set begin and end time to match experimental data rangeI Set time step using insight from verification problem
2. Set material properties and object geometries in input file3. Set the boundary and initial conditions to match experiment4. Use the EFCsphere convection conductor and the
estimated velocity from previous
>> load FC_A>> eps = linspace(.8,1,10);>> [beste] = ls_lumped_emiss(’AFC’, exptime, expT, eps)
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Estimate Emissivity Results and PlotExperimental Data Analysis
emissivity0.8 0.85 0.9 0.95 1
resi
dual
0
10
20
30
40
50
60
70Best Fit 0 = 0.95556
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Conclusion
I Math model for lumped capacitance methodI TNSolver input file describedI TNSolver thermal network model verification with analytical
solution demonstratedI Experimental data analysis
Questions?
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References I
[BLID11] T.L. Bergman, A.S. Lavine, F.P. Incropera, and D.P.DeWitt.Introduction to Heat Transfer.John Wiley & Sons, New York, sixth edition, 2011.
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