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INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN
   International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
   6480(Print), ISSNENGINEERING AND Number 2, July-December (2012), © IAEME
                    0976 – 6499(Online) Volume 3, TECHNOLOGY (IJARET)


ISSN 0976 - 6480 (Print)
ISSN 0976 - 6499 (Online)
Volume 3, Issue 2, July-December (2012), pp. 153-163
                                                                               IJARET
© IAEME: www.iaeme.com/ijaret.html
Journal Impact Factor (2012): 2.7078 (Calculated by GISI)
                                                                              ©IAEME
www.jifactor.com




    TIME DOMAIN SOUND SPECTRUM MEASUREMENTS IN DUCTED
    AXIAL FAN UNDER STABLE REGION AT THROTTLE POSITION 6 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 stable region at throttle positions 6 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 stable region at throttle position 6 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
    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


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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July December (2012), © IAEME
                                                          July-December

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



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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME




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 (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


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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

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,
      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.

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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

The wavelength is defined as the distance through which the sound propagates
during the time T.
                                ଶగ         ଶగ	௙       	ఠ
          k= Wave Number =             =          =        (rad/m)
                                   ఒ        ௖         ௖

          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=ට
                               ఘ

												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




                                                      157
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

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
level signal variations in a ducted axial fan under stable conditions by varying the
rotor speeds from 2400 to 3600 rpm, keeping the throttle position at 6 cm as




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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

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.
        The results of the experiments have revealed that, when the throttle position is at
5, 6 and 7cms from the casing, the flow is found to stable through experiencing high
pressure rise which is considered as healthy. Further, the pressure developed is found to
be directly proportional to amplitude of sound.
        Variation in sound pressure amplitude of air at a throttling position of 6 cm from
the casing when the rotor rotates at 2400 rpm is shown in fig.9. Maximum sound pressure
amplitude is found to be 16 db whereas its minimum magnitude is found to be -20 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.




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




                                             159
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

        Variation in sound pressure amplitude of air at a throttling position of 6 cm
from the casing when the rotor is rotating at 2700 rpm is shown in fig.10.
Maximum sound pressure amplitude is found to be 23 db whereas its minimum
magnitude is found to be -25 db.
        Variation in sound pressure amplitude of air at a throttling position of 6 cm
from the casing when the rotor is rotating at 3000 rpm is shown in fig.11.
Maximum sound pressure amplitude is found to be 32 db whereas its minimum
magnitude is found to -25 db.
        Variation in sound pressure amplitude of air at a throttling position of 6 cm
from the casing when the rotor rotates at 3300 rpm is shown in fig.12. Maximum
sound pressure amplitude is found to be 35 db at stable conditions and its
minimum magnitude is found to be -37 db.
        Variation in sound pressure amplitude of air at a throttling position of 6 cm
from the casing when the rotor is rotating at 3600 rpm is shown in fig.13.
Maximum sound pressure amplitude is found to be 36 db and its minimum
magnitude is found to be - 35 db.




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




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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME




                              Fig.13 Rotor Speed 3600 Rpm
4.0 CONCLUSION
      In this paper, an attempt has been made to measure the sound spectrum in
time domain under stable region at throttle position of 6 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.
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



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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

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.

[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.




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International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME

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 axial fan under stable region at throttle position 6 cm

  • 1. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSNENGINEERING AND Number 2, July-December (2012), © IAEME 0976 – 6499(Online) Volume 3, TECHNOLOGY (IJARET) ISSN 0976 - 6480 (Print) ISSN 0976 - 6499 (Online) Volume 3, Issue 2, July-December (2012), pp. 153-163 IJARET © IAEME: www.iaeme.com/ijaret.html Journal Impact Factor (2012): 2.7078 (Calculated by GISI) ©IAEME www.jifactor.com TIME DOMAIN SOUND SPECTRUM MEASUREMENTS IN DUCTED AXIAL FAN UNDER STABLE REGION AT THROTTLE POSITION 6 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 stable region at throttle positions 6 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 stable region at throttle position 6 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 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 153
  • 2. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July December (2012), © IAEME July-December 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 performance of axial fan 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 A 2 HP Variable frequency 3 phase induction electrical drive is coupled to the 3-phase electrical motor to derive variable speed ranges. Schematic representation of ducted fan setup is shown in figure 6 d 6. 154
  • 3. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME 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 (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 155
  • 4. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME 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, 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. 156
  • 5. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME The wavelength is defined as the distance through which the sound propagates during the time T. ଶగ ଶగ ௙ ఠ k= Wave Number = = = (rad/m) ఒ ௖ ௖ 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=ට ఘ 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 157
  • 6. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME 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 level signal variations in a ducted axial fan under stable conditions by varying the rotor speeds from 2400 to 3600 rpm, keeping the throttle position at 6 cm as 158
  • 7. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME 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. The results of the experiments have revealed that, when the throttle position is at 5, 6 and 7cms from the casing, the flow is found to stable through experiencing high pressure rise which is considered as healthy. Further, the pressure developed is found to be directly proportional to amplitude of sound. Variation in sound pressure amplitude of air at a throttling position of 6 cm from the casing when the rotor rotates at 2400 rpm is shown in fig.9. Maximum sound pressure amplitude is found to be 16 db whereas its minimum magnitude is found to be -20 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. Fig.9 Rotor Speed 2400 Rpm Fig.10 Rotor Speed 2700 Rpm 159
  • 8. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME Variation in sound pressure amplitude of air at a throttling position of 6 cm from the casing when the rotor is rotating at 2700 rpm is shown in fig.10. Maximum sound pressure amplitude is found to be 23 db whereas its minimum magnitude is found to be -25 db. Variation in sound pressure amplitude of air at a throttling position of 6 cm from the casing when the rotor is rotating at 3000 rpm is shown in fig.11. Maximum sound pressure amplitude is found to be 32 db whereas its minimum magnitude is found to -25 db. Variation in sound pressure amplitude of air at a throttling position of 6 cm from the casing when the rotor rotates at 3300 rpm is shown in fig.12. Maximum sound pressure amplitude is found to be 35 db at stable conditions and its minimum magnitude is found to be -37 db. Variation in sound pressure amplitude of air at a throttling position of 6 cm from the casing when the rotor is rotating at 3600 rpm is shown in fig.13. Maximum sound pressure amplitude is found to be 36 db and its minimum magnitude is found to be - 35 db. Fig.11 Rotor Speed 3000Rpm Fig.12 Rotor Speed 3300 Rpm 160
  • 9. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME Fig.13 Rotor Speed 3600 Rpm 4.0 CONCLUSION In this paper, an attempt has been made to measure the sound spectrum in time domain under stable region at throttle position of 6 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. 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 161
  • 10. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME 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. [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. 162
  • 11. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 2, July-December (2012), © IAEME 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. 163