SlideShare une entreprise Scribd logo
1  sur  3
Télécharger pour lire hors ligne
DNS OF A HOT WIRE ANEMOMETER IN A TURBULENT
CHANNEL FLOW.
J. Herrera-Montojo1,2 and G. Borrell2
1 Mechanical & Aerospace Engineering. University of Strathclyde.
2 School of Aeronautics. Universidad Polit´ecnica de Madrid.
javier.herrera@strath.ac.uk
January 15th, 2014
1 Introduction
Hot wire anemometry is still one of the most suc-
cessful experimental techniques to measure velocity
components in turbulent flows. Hot wires are cheap,
relatively simple to set up, and have excellent spatial
and temporal resolution. Despite hot wire anemome-
try is well established nowadays, and that many details
can be found in handbooks like Tropea et al. (2007),
its limitations are still under discussion. This work in-
tends to address three of them.
The first one involves the usual application of Tay-
lor’s frozen turbulence assumption in hot wire mea-
surements, which supposes that the advection of a field
of turbulence past a fixed point can be taken entirely
due to the mean flow. This hypothesis was proven to
break down in the case of flows with strong shear by
Lin (1953), where turbulent intensities u are compa-
rable to the magnitude of the mean flow U. This as-
sumption may lead to wrong interpretations when wall
bounded flows are measured. A brief explanation can
be found in Moin (2009), and the quantitative analysis
in del ´Alamo and Jim´enez (2009).
The second one is about the effect of the hot wire
length. Many hot wires have a similar slender shape,
with a characteristic diameter many times smaller than
its length. When the length of the wire is larger than
the smallest scales found in the fluid motion, that are
of the order of the Kolmogorov scale η, the anemome-
ter acts as a filter in the direction parallel to the wire.
This behavior is a limiting factor when measuring high
Reynolds number wall-bounded turbulent flows, when
η is smaller than the size of the anemometer. This is a
first order error, given than the signal that is generated
is not able to capture all the energy-containing scales
in the flow, and the turbulent intensities are underval-
ued. This effect was estimated in Ligrani and Brad-
shaw (1987) for the case of single hot wires, and ex-
tended in Sillero and Jim´enez (2013), including multi-
ple wires.
The third limitation, also addressed in Sillero and
Jim´enez (2013), has to do with what the wire is actu-
ally measuring. In the case of a single wire aligned
with a given coordinate, the measurement is a com-
bination of the other two components. In the case of
wall-bounded flows, if u, v, and w are the streamwise,
wall-normal, and spanwise velocities respectively, a
wire aligned with the w component will measure a
combination of u and v. This caveat can be solved by
using a combination of wires, but at the cost of a larger
perturbation on the fluid.
The assessment of the measurement errors intro-
duced by hot wires in previous works is done a poste-
riori, based on how direct numerical simulation (DNS)
data has to be modified to fit anemometer measure-
ments. This allows to estimate each of the previously
mentioned errors one at a time, but it ignores the fact
that those effects are actually combined. Being such a
complex phenomenon, many aspects could be under-
stood by simulating a hot wire in a realistic environ-
ment, like a channel flow. This is, however, a complex
simulation that has never been successfully completed.
The goal of this study is to simulate a schematic
configuration of a hot wire in a turbulent channel flow
at a low but significant Reynolds number with Open-
FOAM (2013), that can be used to analyze the coupled
effects of the described limitations. This would be an a
priori analysis, given that the correct measure can be
obtained just by repeating the simulation without the
wire.
OpenFOAM is a registered trademark of SGI corp.
2 Problem formulation
This problem can be divided in two. First, a DNS
of a turbulent channel has to be simulated with suffi-
cient resolution. Later, once this outer flow has con-
verged, a simplified version of a hot wire is placed in
it, and the output signal of the wire is obtained from
the complete simulation after a short transient.
Simulation of a turbulent channel flow
A DNS of a turbulent channel flow at Reτ 600,
the Reynolds number defined as Reτ = uτ h/ν, where
uτ is the friction velocity, h is the half-height of the
channel, and ν is the kinematic viscosity; is simulated
in a domain of size 2h×πh×πh/2 in the wall-normal,
streamwise, and spanwise direction respectively. The
discretization is a structured rectangular-prism mesh
based on a 129 × 192 × 192 array of nodes, that will
become unstructured as soon as the wire is placed
within the domain.
A turbulent channel has been chosen because it is
a flow with a strong shear, can be simulated with a
reasonable computational cost, and is a realistic wall
bounded flow. It is also well understood, and many
high quality simulations in the same range of Reynolds
numbers are available to compare with. On the other
hand, this channel is a periodic flow in both stream-
wise and spanwise directions, and any object placed
in it will become an infinite array of identical objects
with the same periodicity.
This relatively cheap simulation can be considered
DNS on its own right, since the resolution is suffi-
cient, and the domain size is able to capture correctly
the smallest scales. A good guide on how to simu-
late channel flows with small boxes can be found in
Lozano-Dur´an and Jim´enez (2014).
This simulation is not straightforward in Open-
FOAM. DNS of channel flows are seldom com-
puted with general purpose codes. In the case of
OpenFOAM, the pressure boundary conditions in the
streamwise direction are periodic. The pressure gra-
dient along the channel had to be enforced by a mo-
mentum source computed each time step. The average
flow-rate is calculated and compared with the desired
value. From this, the needed pressure gradient to ob-
tain the desired average velocity is computed.
Hot wire in a shear flow
Given a channel flow, one can put to test any hot-
wire anemometer in any position and condition. Since
the goal of this project is to understand the possible
limitations of this experimental technique, it is reason-
able to place it where the conditions are more adverse,
where the relative turbulent intensity u /U, is maxi-
mum. This location is at a distance of 15+ (see Kim,
Moin and Moser (1987)), where the + superindex in-
dicates the use of wall units, respect to the wall.
The size of the wire is also important. It is to expect
that, if the effect of a wire too large is analogous to
filter in the spanwise direction, the attenuation of the
signal is proportional to the wire length. According to
the estimations in Ligrani and Bradshaw (1987), and
Sillero and Jim´enez (2013), attenuation becomes an
issue with a wire of length beyond 20+. The chosen
length has been 25+.
Given that this channel flow is periodic in stream-
wise direction, this simulation corresponds to a peri-
odic array of wires. The expectation is that, being such
a small item compared with the rest of the flow, the
feedback of the wake of the wire is not an issue. This
condition may change if the wire is simulated with the
prongs, that are sensibly bigger the wire alone. In con-
sequence, the wire is simulated with no prongs, that is
equivalent to assume that the prongs have no influence
on the measure obtained by the wire.
With this configuration, the relative size of the wire
respect to the complete domain is minuscule, as it can
be seen in figure 1.
Figure 1: Detail of the thickness of the wire at its slim part,
and its relative size compared with the channel.
3 Preliminary results
The channel flow has been sucessfully simulated in
OpenFOAM. A comparison of the present simulation
with some previous cases at similar Reynolds numbers
is shown in figure 2.
(a)
10
0
10
1
10
2
0
0.5
1
1.5
2
2.5
3
y+
u’
+
,v’
+
,w’
+
u’
+
w’
+
v’
+
Reference
Present
(b)
10
0
10
1
10
2
0
5
10
15
20
25
y+
U
+
Reference. Re550
Present
Reference. Re950
Figure 2: Comparison of the present turbulent channel sim-
ulation with some available datasets at similar
Reynolds numbers: (a) turbulent intensities, and
(b) mean velocity profile. The cases used for this
comparison are described in Lozano-Dur´an and
Jim´enez (2014)
At this stage of the project, thermal effects have
not been explored yet. The required mesh size to re-
solve the thermal boundary layer around a hot wire is
so fine that the time step becomes a severe limitation.
Previously to study the complete problem, the goal is
to understand the flow around the hot wire as a solid
body in a channel flow.
This simplified problem can give an approximation
of the effect of the three phenomena described in the
introduction. Instead of using the total heat transfer
of the wire, drag is used. Despite these two quantities
are loosely related, at this low Reynolds number, they
are roughly proportional (see White (1946)). Drag can
give, therefore, a good approximation of the frequency
response of the actual hot wire, and how the measure
is influenced by the different components of velocity.
An important condition for the results is that the
average wall-normal velocity is zero. This means that
the average value of the streamwise component of drag
Dx (capital letters denote average values), could be ap-
proximated as function of only the average streamwise
velocity U.
The interesting quantity is the fluctuation of the to-
tal drag d, that can be used to measure the velocity
fluctuation u. However, drag has to be a function of
both components of the velocity fluctuations. The val-
ues of d, u, and v for a short simulation time is pre-
sented in figure 3.
Figure 3: Time evolution of the fluctuations of d (right axis),
u and v (left axis). The drag is measured over the
wire, while velocities are obtained repeating the
experiment without the wire.
4 Conclusions and future work
The most important conclusion of this work, con-
sidering that this project is on a very preliminary stage,
is that simulating hot wires is possible, and it can be
useful to understand the limitations of its use in wall
bounded flows. The immediate goal is to accumulate
enough data to obtain a converged spectrum for d .
Once this first experiment is finished, other wire sizes
have to be introduced to explore if different lengths
can be modelled by using different filter widths in the
spanwise direction.
The next step after the solution without thermal ef-
fects has been explored is to mesh the thermal bound-
ary layer around the wire and to solve the coupled
problem. This simulation does not require a huge
amount of memory, but it needs to run for a very long
time due to the enormous scale separation between the
different lengths involved in the phenomenon.
Acknowledgments
The authors woud like to thank Javier Jim´enez,
Julio Soria, and Juan Antonio Sillero. This project
would not have been possible whithout their excellent
advice. The work of G. Borrell is funded by the the
European Research Council grant ERC-2010.AdG-
201000224.
References
del ´Alamo, J. C. and Jim´enez, J. (2009) Estimation of tur-
bulent convection velocities and corrections to Taylor’s
approximation. J. Fluid Mech. 640, 5-26.
Kim, J. Moin, P. and Moser, R. D. (1987) Turbulence statis-
tics in fully developed channel flow at low Reynolds num-
ber. J. Fluid Mech. 177, 133-166.
Ligrani, P. M. and Bradshaw, P. (1987) Spatial resolution and
measurement of turbulence in the viscous sublayer using
subminiature hot-wire probes. Exp. in Fluids. 5, 407-417.
Lin, C. C. (1953) On Taylor’s hypothesis and the accelera-
tion terms in the Navier-Stokes equations. Q. Appl. Math.
10 (4), 295306.
Lozano-Dur´an, A. and Jim´enez, J. (2014) Effect of the com-
putational domain on direct simulations of turbulent chan-
nels up to Reτ = 4200. Physics of Fluids (in press).
Moin, P. (2003) Revisiting Taylor’s hypothe-
sis. Journal of Fluid Mechanics, 640, pp 1-4
doi:10.1017/S0022112009992126
OpenFOAM Foundation. (2011-2013) The OpenFOAM
documentation, version 2.2.2.
Sillero, J.A. and Jim´enez, J. (2013) Effects Of Hot-wire
Measurement In Wall-bounded Flows Studied Via Direct
Numerical Simulation. European Turbulence Conference
14, Lyon.
Tropea, C. Yarin, A. L. and Foss, J. F. Eds. (2007) Springer
Handbook of Experimental Fluid Mechanics. Chapter 5,
Velocity, Vorticity and Mach Number.
White, C. M. (1946) The drag of cylinders in fluids at slow
speeds. Proc. of The Royal Soc. A. 186, 472-479.

Contenu connexe

Tendances

TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problemsDr.SHANTHI K.G
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marksDr.SHANTHI K.G
 
Antennas and Wave Propagation
Antennas and Wave PropagationAntennas and Wave Propagation
Antennas and Wave PropagationVenkataRatnam14
 
Adaptive phase and ground quadrilateral distance elements
Adaptive phase and ground quadrilateral distance elementsAdaptive phase and ground quadrilateral distance elements
Adaptive phase and ground quadrilateral distance elementsssuser436546
 
BASIC CONCEPTS OF TRANSMISSION LINES & WAVEGUIDES ForC 18 DECE unit 1, SBTET
BASIC CONCEPTS OF TRANSMISSION LINES  &  WAVEGUIDES ForC 18 DECE unit 1, SBTETBASIC CONCEPTS OF TRANSMISSION LINES  &  WAVEGUIDES ForC 18 DECE unit 1, SBTET
BASIC CONCEPTS OF TRANSMISSION LINES & WAVEGUIDES ForC 18 DECE unit 1, SBTETjanakiravi
 
Inductance of a transmission lines
Inductance of a transmission linesInductance of a transmission lines
Inductance of a transmission linesvishalgohel12195
 
Lecture 09 em transmission lines
Lecture 09   em transmission linesLecture 09   em transmission lines
Lecture 09 em transmission linesAmit Rastogi
 
Inductance of transmission line
Inductance of transmission lineInductance of transmission line
Inductance of transmission lineAnisur Rahman
 
Antennas and Wave Propagation
Antennas and Wave Propagation Antennas and Wave Propagation
Antennas and Wave Propagation VenkataRatnam14
 
15.30 o4 c aguergaray
15.30 o4 c aguergaray15.30 o4 c aguergaray
15.30 o4 c aguergarayNZIP
 
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...journalBEEI
 
Effect of earth on transmission line, bundle conductor & method of gmd
Effect of earth on transmission line, bundle conductor & method of gmdEffect of earth on transmission line, bundle conductor & method of gmd
Effect of earth on transmission line, bundle conductor & method of gmdvishalgohel12195
 
Effect o f boundary layer and rotor speed on broadband noise from horizontal ...
Effect o f boundary layer and rotor speed on broadband noise from horizontal ...Effect o f boundary layer and rotor speed on broadband noise from horizontal ...
Effect o f boundary layer and rotor speed on broadband noise from horizontal ...vasishta bhargava
 
1400383104 lecture 1 to 4 word file
1400383104 lecture 1 to 4 word file1400383104 lecture 1 to 4 word file
1400383104 lecture 1 to 4 word fileDeepthi Shibuz
 

Tendances (19)

Impedance Matching
Impedance MatchingImpedance Matching
Impedance Matching
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit4- problems
 
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
TIME-VARYING FIELDS AND MAXWELL's EQUATIONS -Unit 4 - two marks
 
transmission line theory prp
transmission line theory prptransmission line theory prp
transmission line theory prp
 
Antennas and Wave Propagation
Antennas and Wave PropagationAntennas and Wave Propagation
Antennas and Wave Propagation
 
Adaptive phase and ground quadrilateral distance elements
Adaptive phase and ground quadrilateral distance elementsAdaptive phase and ground quadrilateral distance elements
Adaptive phase and ground quadrilateral distance elements
 
Matching techniques
Matching techniquesMatching techniques
Matching techniques
 
BASIC CONCEPTS OF TRANSMISSION LINES & WAVEGUIDES ForC 18 DECE unit 1, SBTET
BASIC CONCEPTS OF TRANSMISSION LINES  &  WAVEGUIDES ForC 18 DECE unit 1, SBTETBASIC CONCEPTS OF TRANSMISSION LINES  &  WAVEGUIDES ForC 18 DECE unit 1, SBTET
BASIC CONCEPTS OF TRANSMISSION LINES & WAVEGUIDES ForC 18 DECE unit 1, SBTET
 
Inductance of a transmission lines
Inductance of a transmission linesInductance of a transmission lines
Inductance of a transmission lines
 
Lecture 09 em transmission lines
Lecture 09   em transmission linesLecture 09   em transmission lines
Lecture 09 em transmission lines
 
Inductance of transmission line
Inductance of transmission lineInductance of transmission line
Inductance of transmission line
 
Antennas and Wave Propagation
Antennas and Wave Propagation Antennas and Wave Propagation
Antennas and Wave Propagation
 
15.30 o4 c aguergaray
15.30 o4 c aguergaray15.30 o4 c aguergaray
15.30 o4 c aguergaray
 
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...
Analysis, Design and Optimization of Multilayer Antenna Using Wave Concept It...
 
Inductance and capacitance
Inductance and capacitanceInductance and capacitance
Inductance and capacitance
 
Effect of earth on transmission line, bundle conductor & method of gmd
Effect of earth on transmission line, bundle conductor & method of gmdEffect of earth on transmission line, bundle conductor & method of gmd
Effect of earth on transmission line, bundle conductor & method of gmd
 
Effect o f boundary layer and rotor speed on broadband noise from horizontal ...
Effect o f boundary layer and rotor speed on broadband noise from horizontal ...Effect o f boundary layer and rotor speed on broadband noise from horizontal ...
Effect o f boundary layer and rotor speed on broadband noise from horizontal ...
 
Protection of Transmission lines
Protection of Transmission linesProtection of Transmission lines
Protection of Transmission lines
 
1400383104 lecture 1 to 4 word file
1400383104 lecture 1 to 4 word file1400383104 lecture 1 to 4 word file
1400383104 lecture 1 to 4 word file
 

Similaire à ETMM Abstract. Herrera and Borrell

Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional MethodSynthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional MethodIOSR Journals
 
Detection and Location of Faults in 11KV Underground Cable by using Continuou...
Detection and Location of Faults in 11KV Underground Cable by using Continuou...Detection and Location of Faults in 11KV Underground Cable by using Continuou...
Detection and Location of Faults in 11KV Underground Cable by using Continuou...IOSR Journals
 
Dual band antenna using reactive loading
Dual band antenna using reactive loadingDual band antenna using reactive loading
Dual band antenna using reactive loadingPrathamesh Bhat
 
3d resistivity imaging technique
3d resistivity imaging technique3d resistivity imaging technique
3d resistivity imaging techniqueZaidoon Taha
 
Development of fpga based system for neutron flux monitoring in fast breeder ...
Development of fpga based system for neutron flux monitoring in fast breeder ...Development of fpga based system for neutron flux monitoring in fast breeder ...
Development of fpga based system for neutron flux monitoring in fast breeder ...Alexander Decker
 
Adaptive phase and ground distance
Adaptive phase and ground distance Adaptive phase and ground distance
Adaptive phase and ground distance ssuser436546
 
Adaptive phase and ground quadrilateral
Adaptive phase and ground quadrilateralAdaptive phase and ground quadrilateral
Adaptive phase and ground quadrilateralAbhishek Kulshreshtha
 
EM_II_Project_London_Julia
EM_II_Project_London_JuliaEM_II_Project_London_Julia
EM_II_Project_London_JuliaJulia London
 
Transmission Line Model for Patch Antenna on Metameterial Substrate
Transmission Line Model for Patch Antenna on Metameterial SubstrateTransmission Line Model for Patch Antenna on Metameterial Substrate
Transmission Line Model for Patch Antenna on Metameterial SubstrateIOSR Journals
 

Similaire à ETMM Abstract. Herrera and Borrell (20)

nl503747h
nl503747hnl503747h
nl503747h
 
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional MethodSynthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
Synthesis of Optimized Asymmetrical Sum Patterns Using Conventional Method
 
Nanowire_Paper
Nanowire_PaperNanowire_Paper
Nanowire_Paper
 
Detection and Location of Faults in 11KV Underground Cable by using Continuou...
Detection and Location of Faults in 11KV Underground Cable by using Continuou...Detection and Location of Faults in 11KV Underground Cable by using Continuou...
Detection and Location of Faults in 11KV Underground Cable by using Continuou...
 
G010144450
G010144450G010144450
G010144450
 
Internship Report
Internship ReportInternship Report
Internship Report
 
Dual band antenna using reactive loading
Dual band antenna using reactive loadingDual band antenna using reactive loading
Dual band antenna using reactive loading
 
3d resistivity imaging technique
3d resistivity imaging technique3d resistivity imaging technique
3d resistivity imaging technique
 
Fz3510511056
Fz3510511056Fz3510511056
Fz3510511056
 
Analogies
AnalogiesAnalogies
Analogies
 
Development of fpga based system for neutron flux monitoring in fast breeder ...
Development of fpga based system for neutron flux monitoring in fast breeder ...Development of fpga based system for neutron flux monitoring in fast breeder ...
Development of fpga based system for neutron flux monitoring in fast breeder ...
 
Four probe-method
Four probe-methodFour probe-method
Four probe-method
 
Adaptive phase and ground distance
Adaptive phase and ground distance Adaptive phase and ground distance
Adaptive phase and ground distance
 
Adaptive phase and ground quadrilateral
Adaptive phase and ground quadrilateralAdaptive phase and ground quadrilateral
Adaptive phase and ground quadrilateral
 
EM_II_Project_London_Julia
EM_II_Project_London_JuliaEM_II_Project_London_Julia
EM_II_Project_London_Julia
 
Strain gages
Strain gagesStrain gages
Strain gages
 
A230108
A230108A230108
A230108
 
Strain_gages.pdf
Strain_gages.pdfStrain_gages.pdf
Strain_gages.pdf
 
Transmission Line Model for Patch Antenna on Metameterial Substrate
Transmission Line Model for Patch Antenna on Metameterial SubstrateTransmission Line Model for Patch Antenna on Metameterial Substrate
Transmission Line Model for Patch Antenna on Metameterial Substrate
 
Plasma Antenna
Plasma AntennaPlasma Antenna
Plasma Antenna
 

Dernier

Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catcherssdickerson1
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptSAURABHKUMAR892774
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Churning of Butter, Factors affecting .
Churning of Butter, Factors affecting  .Churning of Butter, Factors affecting  .
Churning of Butter, Factors affecting .Satyam Kumar
 

Dernier (20)

Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.ppt
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Churning of Butter, Factors affecting .
Churning of Butter, Factors affecting  .Churning of Butter, Factors affecting  .
Churning of Butter, Factors affecting .
 

ETMM Abstract. Herrera and Borrell

  • 1. DNS OF A HOT WIRE ANEMOMETER IN A TURBULENT CHANNEL FLOW. J. Herrera-Montojo1,2 and G. Borrell2 1 Mechanical & Aerospace Engineering. University of Strathclyde. 2 School of Aeronautics. Universidad Polit´ecnica de Madrid. javier.herrera@strath.ac.uk January 15th, 2014 1 Introduction Hot wire anemometry is still one of the most suc- cessful experimental techniques to measure velocity components in turbulent flows. Hot wires are cheap, relatively simple to set up, and have excellent spatial and temporal resolution. Despite hot wire anemome- try is well established nowadays, and that many details can be found in handbooks like Tropea et al. (2007), its limitations are still under discussion. This work in- tends to address three of them. The first one involves the usual application of Tay- lor’s frozen turbulence assumption in hot wire mea- surements, which supposes that the advection of a field of turbulence past a fixed point can be taken entirely due to the mean flow. This hypothesis was proven to break down in the case of flows with strong shear by Lin (1953), where turbulent intensities u are compa- rable to the magnitude of the mean flow U. This as- sumption may lead to wrong interpretations when wall bounded flows are measured. A brief explanation can be found in Moin (2009), and the quantitative analysis in del ´Alamo and Jim´enez (2009). The second one is about the effect of the hot wire length. Many hot wires have a similar slender shape, with a characteristic diameter many times smaller than its length. When the length of the wire is larger than the smallest scales found in the fluid motion, that are of the order of the Kolmogorov scale η, the anemome- ter acts as a filter in the direction parallel to the wire. This behavior is a limiting factor when measuring high Reynolds number wall-bounded turbulent flows, when η is smaller than the size of the anemometer. This is a first order error, given than the signal that is generated is not able to capture all the energy-containing scales in the flow, and the turbulent intensities are underval- ued. This effect was estimated in Ligrani and Brad- shaw (1987) for the case of single hot wires, and ex- tended in Sillero and Jim´enez (2013), including multi- ple wires. The third limitation, also addressed in Sillero and Jim´enez (2013), has to do with what the wire is actu- ally measuring. In the case of a single wire aligned with a given coordinate, the measurement is a com- bination of the other two components. In the case of wall-bounded flows, if u, v, and w are the streamwise, wall-normal, and spanwise velocities respectively, a wire aligned with the w component will measure a combination of u and v. This caveat can be solved by using a combination of wires, but at the cost of a larger perturbation on the fluid. The assessment of the measurement errors intro- duced by hot wires in previous works is done a poste- riori, based on how direct numerical simulation (DNS) data has to be modified to fit anemometer measure- ments. This allows to estimate each of the previously mentioned errors one at a time, but it ignores the fact that those effects are actually combined. Being such a complex phenomenon, many aspects could be under- stood by simulating a hot wire in a realistic environ- ment, like a channel flow. This is, however, a complex simulation that has never been successfully completed. The goal of this study is to simulate a schematic configuration of a hot wire in a turbulent channel flow at a low but significant Reynolds number with Open- FOAM (2013), that can be used to analyze the coupled effects of the described limitations. This would be an a priori analysis, given that the correct measure can be obtained just by repeating the simulation without the wire. OpenFOAM is a registered trademark of SGI corp. 2 Problem formulation This problem can be divided in two. First, a DNS of a turbulent channel has to be simulated with suffi- cient resolution. Later, once this outer flow has con- verged, a simplified version of a hot wire is placed in it, and the output signal of the wire is obtained from the complete simulation after a short transient. Simulation of a turbulent channel flow A DNS of a turbulent channel flow at Reτ 600, the Reynolds number defined as Reτ = uτ h/ν, where uτ is the friction velocity, h is the half-height of the channel, and ν is the kinematic viscosity; is simulated
  • 2. in a domain of size 2h×πh×πh/2 in the wall-normal, streamwise, and spanwise direction respectively. The discretization is a structured rectangular-prism mesh based on a 129 × 192 × 192 array of nodes, that will become unstructured as soon as the wire is placed within the domain. A turbulent channel has been chosen because it is a flow with a strong shear, can be simulated with a reasonable computational cost, and is a realistic wall bounded flow. It is also well understood, and many high quality simulations in the same range of Reynolds numbers are available to compare with. On the other hand, this channel is a periodic flow in both stream- wise and spanwise directions, and any object placed in it will become an infinite array of identical objects with the same periodicity. This relatively cheap simulation can be considered DNS on its own right, since the resolution is suffi- cient, and the domain size is able to capture correctly the smallest scales. A good guide on how to simu- late channel flows with small boxes can be found in Lozano-Dur´an and Jim´enez (2014). This simulation is not straightforward in Open- FOAM. DNS of channel flows are seldom com- puted with general purpose codes. In the case of OpenFOAM, the pressure boundary conditions in the streamwise direction are periodic. The pressure gra- dient along the channel had to be enforced by a mo- mentum source computed each time step. The average flow-rate is calculated and compared with the desired value. From this, the needed pressure gradient to ob- tain the desired average velocity is computed. Hot wire in a shear flow Given a channel flow, one can put to test any hot- wire anemometer in any position and condition. Since the goal of this project is to understand the possible limitations of this experimental technique, it is reason- able to place it where the conditions are more adverse, where the relative turbulent intensity u /U, is maxi- mum. This location is at a distance of 15+ (see Kim, Moin and Moser (1987)), where the + superindex in- dicates the use of wall units, respect to the wall. The size of the wire is also important. It is to expect that, if the effect of a wire too large is analogous to filter in the spanwise direction, the attenuation of the signal is proportional to the wire length. According to the estimations in Ligrani and Bradshaw (1987), and Sillero and Jim´enez (2013), attenuation becomes an issue with a wire of length beyond 20+. The chosen length has been 25+. Given that this channel flow is periodic in stream- wise direction, this simulation corresponds to a peri- odic array of wires. The expectation is that, being such a small item compared with the rest of the flow, the feedback of the wake of the wire is not an issue. This condition may change if the wire is simulated with the prongs, that are sensibly bigger the wire alone. In con- sequence, the wire is simulated with no prongs, that is equivalent to assume that the prongs have no influence on the measure obtained by the wire. With this configuration, the relative size of the wire respect to the complete domain is minuscule, as it can be seen in figure 1. Figure 1: Detail of the thickness of the wire at its slim part, and its relative size compared with the channel. 3 Preliminary results The channel flow has been sucessfully simulated in OpenFOAM. A comparison of the present simulation with some previous cases at similar Reynolds numbers is shown in figure 2. (a) 10 0 10 1 10 2 0 0.5 1 1.5 2 2.5 3 y+ u’ + ,v’ + ,w’ + u’ + w’ + v’ + Reference Present (b) 10 0 10 1 10 2 0 5 10 15 20 25 y+ U + Reference. Re550 Present Reference. Re950 Figure 2: Comparison of the present turbulent channel sim- ulation with some available datasets at similar Reynolds numbers: (a) turbulent intensities, and (b) mean velocity profile. The cases used for this comparison are described in Lozano-Dur´an and Jim´enez (2014)
  • 3. At this stage of the project, thermal effects have not been explored yet. The required mesh size to re- solve the thermal boundary layer around a hot wire is so fine that the time step becomes a severe limitation. Previously to study the complete problem, the goal is to understand the flow around the hot wire as a solid body in a channel flow. This simplified problem can give an approximation of the effect of the three phenomena described in the introduction. Instead of using the total heat transfer of the wire, drag is used. Despite these two quantities are loosely related, at this low Reynolds number, they are roughly proportional (see White (1946)). Drag can give, therefore, a good approximation of the frequency response of the actual hot wire, and how the measure is influenced by the different components of velocity. An important condition for the results is that the average wall-normal velocity is zero. This means that the average value of the streamwise component of drag Dx (capital letters denote average values), could be ap- proximated as function of only the average streamwise velocity U. The interesting quantity is the fluctuation of the to- tal drag d, that can be used to measure the velocity fluctuation u. However, drag has to be a function of both components of the velocity fluctuations. The val- ues of d, u, and v for a short simulation time is pre- sented in figure 3. Figure 3: Time evolution of the fluctuations of d (right axis), u and v (left axis). The drag is measured over the wire, while velocities are obtained repeating the experiment without the wire. 4 Conclusions and future work The most important conclusion of this work, con- sidering that this project is on a very preliminary stage, is that simulating hot wires is possible, and it can be useful to understand the limitations of its use in wall bounded flows. The immediate goal is to accumulate enough data to obtain a converged spectrum for d . Once this first experiment is finished, other wire sizes have to be introduced to explore if different lengths can be modelled by using different filter widths in the spanwise direction. The next step after the solution without thermal ef- fects has been explored is to mesh the thermal bound- ary layer around the wire and to solve the coupled problem. This simulation does not require a huge amount of memory, but it needs to run for a very long time due to the enormous scale separation between the different lengths involved in the phenomenon. Acknowledgments The authors woud like to thank Javier Jim´enez, Julio Soria, and Juan Antonio Sillero. This project would not have been possible whithout their excellent advice. The work of G. Borrell is funded by the the European Research Council grant ERC-2010.AdG- 201000224. References del ´Alamo, J. C. and Jim´enez, J. (2009) Estimation of tur- bulent convection velocities and corrections to Taylor’s approximation. J. Fluid Mech. 640, 5-26. Kim, J. Moin, P. and Moser, R. D. (1987) Turbulence statis- tics in fully developed channel flow at low Reynolds num- ber. J. Fluid Mech. 177, 133-166. Ligrani, P. M. and Bradshaw, P. (1987) Spatial resolution and measurement of turbulence in the viscous sublayer using subminiature hot-wire probes. Exp. in Fluids. 5, 407-417. Lin, C. C. (1953) On Taylor’s hypothesis and the accelera- tion terms in the Navier-Stokes equations. Q. Appl. Math. 10 (4), 295306. Lozano-Dur´an, A. and Jim´enez, J. (2014) Effect of the com- putational domain on direct simulations of turbulent chan- nels up to Reτ = 4200. Physics of Fluids (in press). Moin, P. (2003) Revisiting Taylor’s hypothe- sis. Journal of Fluid Mechanics, 640, pp 1-4 doi:10.1017/S0022112009992126 OpenFOAM Foundation. (2011-2013) The OpenFOAM documentation, version 2.2.2. Sillero, J.A. and Jim´enez, J. (2013) Effects Of Hot-wire Measurement In Wall-bounded Flows Studied Via Direct Numerical Simulation. European Turbulence Conference 14, Lyon. Tropea, C. Yarin, A. L. and Foss, J. F. Eds. (2007) Springer Handbook of Experimental Fluid Mechanics. Chapter 5, Velocity, Vorticity and Mach Number. White, C. M. (1946) The drag of cylinders in fluids at slow speeds. Proc. of The Royal Soc. A. 186, 472-479.