Time domain sound spectrum measurements in ducted 2 cm

International Journal of Thermal Engineering (IJTE), ISSN XXXX – XXXX (Print), ISSN
INTERNATIONAL JOURNAL OF THERMAL
XXXX – XXXX (Online) Volume 1, Issue 1, October- December (2012) © IAEME
ENGINEERING (IJTE)

ISSN XXXX – XXXX (Print) IJTE
ISSN XXXX - XXXX (Online)
Volume 1, Issue 1, October- December (2012), pp. 12-22 ©IAEME
© IAEME: www.iaeme.com/ijte.asp

TIME DOMAIN SOUND SPECTRUM MEASUREMENTS IN DUCTED
AXIAL FAN UNDER STALL REGION AT THROTTLE POSITION 2 CM

Manikandapirapu P.K.1 Srinivasa G.R.2 Sudhakar K.G.3 Madhu D. 4
1
Ph.D Candidate, Mechanical Department, Dayananda Sagar College of Engineering, Bangalore.
2
Professor and Principal Investigator, Dayananda Sagar College of Engineering, Bangalore.
3
Professor, Mechanical Department, K L University, Vijayawada, AndraPradesh.
4
Professor and Head, Mechanical Department, Government Engg. College, KRPET-571426.

ABSTRACT
Performance of axial fan is found to reduce drastically when instability is
encountered during its operation. Performance of an axial fan is severely impaired by
many factors mostly related to system instabilities due to rotating stall and surge
phenomenon experienced during its operation. The present work involves measuring the
time domain sound signal in ducted axial fan under stall region at throttle positions 2 cm
from the casing. Objective of the experiment is to measure the time domain sound signal
in terms of decibel and comprehend the sound Characteristics in ducted axial fan by using
sound spectrum analyser. Different types of time domain sound signals have been
measured under stall region at throttle position 2 cm from the casing for different rotor
speed and different graphs are plotted for ducted axial fan.
Keywords: Microphone, BNC connector, Data Acquisition System, LABVIEW,
Spectrum Measurements, Throttle position, Rotor speed.
1.0 INTRODUCTION
Mining fans and cooling tower fans normally employ axial blades and or required to
work under adverse environmental conditions. They have to operate in a narrow band of

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XXXX – XXXX (Online) Volume 1, Issue 1 October- December (2012) © IAEME
1,

speed and throttle positions in order to give best performance in terms of pressure rise,
high efficiency and also stable condition.
Since the range in which the fan has to operate under stable condition is very narrow,
clear knowledge has to be obtained about the whole range of operating conditions if the
fan has to be operated using active adaptive control devices. The performanc of axial fan
performance
can be graphically represented as shown in figure 1.

Fig.1 Graphical representation of Axial Fan performance curve
1

2.0 TEST FACILITY AND INSTRUMENTATION

Experimental setup, fabricated to create stall conditions and to introduce unstall
conditions in an industrial ducted axial fan is as shown in figure 2 to figure 5.

Fig. 2 Ducted Axial Fan Rig Fig. 3 Side View of Ducted Axial Fan Rig

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A 2 HP Variable frequency 3-phase induction electrical drive is coupled to the
electrical motor to derive variable speed ranges. Schematic representation of
ducted fan setup is shown in figure 6.

Fig.4 Variable frequency Drive for speed control Fig.5 Automatic Throttle controller

Fig. 6 Ducted Axial Fan - Schematic

The flow enters the test duct through a bell mouth entry of cubic profile.
The bell mouth performs two functions: it provides a smooth undisturbed flow into
the duct and also serves the purpose of metering the flow rate. The bell mouth is
made of fiber reinforced polyester with a smooth internal finish. The motor is
positioned inside a 381 mm diameter x 457 mm length of fan casing. The aspect

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(L/D) ratio of the casing is 1.2. The hub with blades, set at the required angle is
mounted on the extended shaft of the electric motor. The fan hub is made of two
identical halves. The surface of the hub is made spherical so that the blade root
portion with the same contour could be seated perfectly on this, thus avoiding any
gap between these two mating parts. An outlet duct identical in every way with that
at inlet is used at the downstream of the fan. A flow throttle is placed at the exit,
having sufficient movement to present an exit area greater than that of the duct.
3.0 SOUND MEASUREMENT ANALYSIS AND EVALUATION
Sound requies a Source, a Medium for its transmission and a Receiver. The
source is the axial fan wherein the vibration of air molecules takes place due to external
energy source. The medium is the substance which carries the sound energy from one
molecule to another. The sound energy is transmitted through a medum back and forth in
a way similar to the vibration of the sound source.
The fan which is transmitting the energy while transferring the pressurized air,
creates compression of air. The slight increse in pressure is passed onto the molecules
which are successively farther away from the sound source of an axial fan resulting in a
slightly high pressure area moving away from the source. When the sound source
completes its motion to the right it begins to move back to the left. This results in a
reduction of pressure next to the object allowing the air molecules to spread apart,
producing a rarefaction. This slight decrease in pressure is found in the air which is away
from the fan signal sound source.
During the motion of the fan sound signal back and forth, it successfully ensures
compression followed by a rarefaction of air to form the sound wave. The receiver is the
microphone which senses the signal. The sound pressure variation is periodic, one
complete variation in sound pressure is referred to as a cycle. The time T for one
complete cycle is called the period of sound pressure oscillation.
The frequency of pressure change (f) is defined as the number of cycles per unit time. i.e.,
ଵ
f=்

The sound pressure variation with time is,

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P(t) = Pa Sin(߱‫)∅ + ݐ‬
Pa = Amplitude of Pressure Fluctuation
ଶగ
߱ = Frequency of Pressure Fluctuation = = 2ߨ݂ (rad/s)
்
∅ = Phase of Sound Signal, measured relative to some reference.
∆௫
Velocity of Propagation ‘c’ of the Sound, c = ∆௧
where ∆‫ = ݔ‬Distance, the sound would propagate during a time interval ∆t.
The wavelength is defined as the distance through which the sound propagates during the
time T.
ଶగ ଶగ ௙ ఠ
k= Wave Number = ఒ
= ௖
= ௖
(rad/m)

c = Propagating Velocity or Speed of Sound in the Medium (m/s)
P(x,t) = Pa sin (kx – ߱t) (pa)
x = Distance along horizontal axis of the Tube (m)
ఊ௉
c=ටఘ

ߛ = Ratio of Specific Heat
P = Static Pressure of Fluid (air)
ߩ = Density of the Fluid
3.1 BASIC SOUND SPECTRUM ANALYSER SYSTEM
Basic sound Spectrum analyzer schematic diagram consists of various components as
shown in fig.7. Microphone acquires the sound pressure fluctuation and converts them to
an analog signal. BNC connector sends the signal to Data acquisition system. Data
Acquisition system receive the signal from the BNC connector and sends to LABVIEW
software. Once the amplitude of the signal has been measured, the computer system
displays the measurement signal of spectrum through LABVIEW software.

FAN DATA AQUISITION SOUND SPECTRUM
MICROPHONE BNC CONNECTOR MEASUREMENT
SYSTEM (DAQ)
SIGNAL FROM COMPUTER

Fig.7 Schematic diagram of Sound Spectrum Measurement

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3.2 SOUND SPECTRUM ANALYSER
Experimental setup of Spectrum analyzer consists of various components is
shown in fig.8. Microphone acquires the sound signals, frequency range from 0
Hertz to 11100 Hz and measure the decibel range from 0 to 130 decibel.
Microphone sensitivity is the ratio of of its electrical output to the sound pressure
at the diaphragm of the microphone. Since a microphone output is usually
measured in millivolts (mv) and sound pressure is measured in pascals. The unit of
sensitivity of microphone is mv/Pa. microphone connects to BNC connector. BNC
connector transmits the signal to DAQ system. DAQ card consists 2 channel input
port to acquire the signal and send the signal to system achieve through LABVIEW
software inbuilt with National Instruments noise and vibration acquisition system
and 2 channel output port to receive the signal from the system and to make a
active feedback control system in ducted axial fan.

Fig.8 Experimental Rig for Sound Spectrum Analyser

3.3 TIME DOMAIN SOUND SPECTRUM MEASUREMENTS
Experiments are carried out to analyse the nature of time domain sound
pressure signal variations in a ducted axial fan under stall conditions by varying the
rotor speeds from 2400 to 3600 rpm, keeping the throttle position at 2 cm as

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invariant by employing Sound Spectrum Analyser and the results are shown in
figs.9 to 13.
In an axial fan setup, eight number of axial fan blades are involved in
transferring the energy to the fluid. In one rotation of axial fan, the fluctuation in
pressure amplitude happens eight times. Every aerofoil blade transfers the energy
to the fluid through an increase in the pressure levels in transmission medium of
the fluid. Due to change in static pressure of the fluid, the velocity of sound
propagation will increase. It is also known that the static pressure is directly
proportional to velocity of sound.
In the stall region, flow separation would also occur. When the flow
separation starts in the aerofoil section of an axial fan, rotating stall occurs.
Rotating stall is defined as the unstable flow around the annulus region of fan
blade. These rotating stall cells rotate at some particular frequency and this
situation would lead to pressure changes. Increase in the rotating stall frequency
leads to creation of more number of stall cell pockets leading to stalling of the axial
fan. The static pressure is found to decrease in the stall region whereas there would
be an increase in the stagnation or total pressure of the system. Creation of more
number of stall cells leads to reversal of flow thus making a complete flow cycle
in ducted axial fan. The rise in total pressure in the stall region leads to an increase
in the velocity of sound.
Variation in sound pressure amplitude of air at a throttling position of 2 cm
from the casing when the rotor rotates at 2400 rpm is shown in fig.9. Maximum
sound pressure amplitude is found to be 10 db whereas its minimum magnitude is
found to be -12.5 db, which is attributable to combinatorial effects of blockage in
mass flow, rotating stall, periodic vibration due to air flow and excitation of fan
blades.

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from the casing when the rotor is rotating at 2700 rpm is shown in fig.10.
Maximum sound pressure amplitude is found to be 16 db whereas its minimum
magnitude is found to be -22 db.

Fig.9 Rotor Speed 2400 Rpm Fig.10 Rotor Speed 2700 Rpm

Maximum sound pressure amplitude is found to be 25 db whereas its minimum
magnitude is found to -17 db.

Fig.11 Rotor Speed 3000Rpm Fig.12 Rotor Speed 3300 Rpm

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from the casing when the rotor rotates at 3300 rpm is shown in fig.12. Maximum
sound pressure amplitude is found to be -27 db at stall conditions and its minimum
magnitude is found to be 88 db.

Fig.13 Rotor Speed 3600 Rpm
Maximum sound pressure amplitude is found to be 31 db and its minimum
magnitude is found to be -27 db.
4.0 CONCLUSION
In this paper, an attempt has been made to measure the sound spectrum
signal in time domain under stall region at throttle position of 2 cm with respect to
rotor speeds in ducted axial fan by using spectrum analyzer. It is useful to examine
the characteristics of stall in ducted axial fan. Further, this work can be extended
by working on the mathematical model of sound spectrum study in ducted axial
fan. The results so far discussed, indicate that time domain sound spectrum
measurements of ducted axial fan is very promising.

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ACKNOWLEDGEMENT
The authors gratefully thank AICTE (rps) Grant. for the financial support of
present work.
NOMENCLATURE
‫ݒ‬௪ = Whirl velocity in m/s
߰ = Pressure ratio
N = Tip speed of the blades in rpm
∆p = Pressure rise across the fan in N/m2
d = Diameter of the blade in m
ρair = Density of air in kg/m3
L p = Sound Pressure Level in db
BPF = Blade passing frequency in Hz
L N = Normalized Sound Level in db

REFERENCES
[1] Day I J (1993),”Active Suppression of Rotating Stall and Surge in Axial
Compressors”, ASME Journal of Turbo machinery, vol 115, P 40-47.
[2] Patrick B Lawlees (1999),”Active Control of Rotating Stall in a Low Speed
Centrifugal Compressors”, Journal of Propulsion and Power, vol 15, No 1, P 38-44.
[3]C A Poensgen (1996) ,”Rotating Stall in a Single-Stage Axial Compressor”, Journal of
Turbomachinery, vol.118, P 189-196.
[4] J D Paduano (1996),” Modeling for Control of Rotating stall in High Speed
Multistage Axial Compressor” ASME Journal of Turbo machinery, vol 118, P 1-10.
[5] Chang Sik Kang (2005),”Unsteady Pressure Measurements around Rotor of an Axial
Flow Fan Under Stable and Unstable Operating Conditions”, JSME International
Journal, Series B, vol 48, No 1, P 56-64.
[6] A H Epstein (1989),”Active Suppression of Aerodynamic instabilities in turbo
machines”, Journal of Propulsion, vol 5, No 2, P 204-211.
[7] Bram de Jager (1993),”Rotating stall and surge control: A survey”, IEEE Proceedings
of 34th Conference on Decision and control.
[8] S Ramamurthy (1975),”Design, Testing and Analysis of Axial Flow Fan,” M E
Thesis, Mechanical Engineering Dept, Indian Institute of Science.

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[9] S L Dixon (1998), Fluid Mechanics and Thermodynamics of Turbo machinery, 5th
edition, Pergamon, Oxford Press.
[10] William W Peng (2008), Fundamentals of Turbo machinery, John Wiley & sons.Inc.
AUTHORS
Manikandapirapu P.K. received his B.E degree from Mepco
Schlenk Engineering college, M.Tech from P.S.G College of
Technology,Anna University,and now is pursuing Ph.D degree in
Dayananda Sagar College of Engineering, Bangalore under VTU
University. His Research interest include: Turbomachinery, fluid
mechanics, Heat transfer and CFD.
Srinivasa G.R. received his Ph.D degree from Indian Institute of
Science, Bangalore. He is currently working as a professor in
mechanical engineering department, Dayananda Sagar College of
Engineering, Bangalore. His Research interest include:
Turbomachinery, Aerodynamics, Fluid Mechanics, Gas turbines and
Heat transfer.
Sudhakar K.G received his Ph.D degree from Indian Institute of
Science, Bangalore. He is currently working as a Professor in
Mechanical Engineering department, Koneru Lakshmiah
University,Vijayawada, Andrapradesh. His Research interest
include: Surface Engineering, Metallurgy, Composite Materials,
MEMS and Foundry Technology.

Madhu D received his Ph.D degree from Indian Institute of
Technology (New Delhi). He is currently working as a Professor
and Head in Government Engineering college, KRPET-571426,
Karnataka. His Research interest include: Refrigeration and Air
Conditioning, Advanced Heat Transfer Studies, Multi phase flow
and IC Engines.

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Time domain sound spectrum measurements in ducted 2 cm

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Time domain sound spectrum measurements in ducted 2 cm