SlideShare uma empresa Scribd logo
1 de 10
Baixar para ler offline
International Journal of Advanced Research in Engineering and Technology RESEARCH IN–
      INTERNATIONAL JOURNAL OF ADVANCED (IJARET), ISSN 0976
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME
                ENGINEERING AND TECHNOLOGY (IJARET)

ISSN 0976 - 6480 (Print)
ISSN 0976 - 6499 (Online)                                                IJARET
Volume 3, Issue 1, January- June (2012), pp. 97-106
© IAEME: www.iaeme.com/ijaret.html                                      ©IAEME
Journal Impact Factor (2011): 0.7315 (Calculated by GISI)
www.jifactor.com




  MODELING AND SIMULATION OF DUCTED AXIAL FAN FOR
              ONE DIMENSIONAL FLOW
      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
         Dean (Research and Development), CDGI, Indore, Madhya Pradesh .
       4
         Professor and Head, Mechanical Department, Government Engg. College, KRPET-571426.

ABSTRACT

         The paper presents to develop the analogy for modeling and simulation of ducted
Axial Fan by using the one dimensional flow equation of axial turbo machines. Main
objective of this paper is to derive the flow model from radial equilibrium concepts and
compute the pressure rise for varying the functional parameters of inlet velocity, whirl
velocity, rotor speed and diameter of blade from hub to tip in ducted axial fan by using
simulink software for one dimensional flow. In this main phase of paper, the analogies
for modeling and simulation has been investigated for optimize the parameter of pressure
rise in ducted axial flow fan.

   Keywords: Pressure rise, Whirl velocity, Pressure Ratio, Flow ratio, Rotor speed,
Simulink, Axial Fan.

1.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
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.


                                               97
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME




              Fig: 1 Graphical representation of Axial Fan performance curve
2. 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.




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




                                              98
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME




                         Fig: 3 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 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 GOVERNING EQUATION
3.1 Continuity Equation
         A continuity equation in physics is a differential equation that describes the transport
of some kind of conserved quantity. Since mass, energy, momentum, electric charge and
other natural quantities are conserved.
   Continuity equation
																																														ߩଵ × ‫ܣ‬ଵ × ܸଵ ߩଶ × ‫ܣ‬ଶ × ܸଶ 	                   (3.1)

3.2 Momentum Equation
    A body of mass m subject to a net force F undergoes an acceleration that has the same
direction as the force and a magnitude that is directly proportional to the force and
inversely proportional to the mass. Alternatively, the total force applied on a body is
equal to the time derivative of linear momentum of the body.
Momentum equation

                                               99
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME

                డ                         ଶ
                    ሺߩ௠		 ߭௠ ) + ∇. ሺߩ௠	 ߭௠ ) =
               డ௧


           ∆p + ∇. [μ୫ (∆߭௠ + Δ߭௠ )]+	ߩ௠	 ݃ + ‫ + ܨ‬Δ. ൫∑௡ ߙ௞ ߩ௞ ߭ௗ௥,௞ ߭ௗ௥.௞ ൯	(3.2)
                                   ்
                                                          ௞ୀଵ
3.3 Energy Equation
      Energy may be stored in systems without being present as matter, or as kinetic or
electromagnetic energy. The law of conservation of energy is a law of physics. It states
that the total amount of energy in an system remains constant over time (is said to be
conserved over time). A consequence of this law is that energy can neither be created nor
destroyed: it can only be transformed from one state to another
 Energy equation
          డ
               ∑௡ ሺߙ௞ ߩ௞ ‫ܧ‬௞ ) + ∆. ሺ∑௡ ሺߙ௞ ߭௞ ሺߩ௞ ‫ܧ‬௞	 + ܲ))	= ∆. ൫݇௘௙௙	 ∇ܶ൯ + 	 ܵா (3.3)
                ௞ୀଵ                  ௞ୀଵ
          డ௧


4.0 FLOW MODELING FOR ONE DIMENSIONAL FLOW
4.1 Radial Equilibrium Concepts and evaluation
Consider a small element of fluid of mass dm as shown in fig.4 and fig.5 of unit depth
and subtending an angle dθ at the axis and rotating about the axis with tangential velocity
and ܿ௾ at radius r.

  C
  asing                                                                            p+dp             Mass/Unit depth
                                   Streamlines                         dr                                = ρrdθdr
                                                                                               Velocity = c θ
                                                                  p+1/2 dp                          p+1/2 dp

                                                                                     p
                                                                              r                dθ

   Hub



   Axis

Fig: 4 Radial equilibrium flow through a rotor blade row          Fig: 5 A fluid element in radial equilibrium ( Cr = 0)


          The general three dimensional momentum equation of inviscid fluid in a radial
direction expressed in a cylindrical coordinate system can be written as follows:

      	ଵ ப୮               ப୚୰     ୚୳ ப୚౨              ப୚౨       ୴మ
		− ቀ ஡ 	 ப୰ ቁ = Vr ቀ ப୰ ቁ +           ቀ ப஘ ቁ + Va	         −    ౭
                                                                                                    (4.1)
                                   ୰                  ப୸          ୰




                                                            100
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME

Assuming axisymmetric flow and imposing a zero radial flow velocity, it can be
simplified to
                   		ଵ ப୮	       ୴మ
                      	 	=
                     ஡ ப୰
                                  ౭
                                    ୰
                                        		                                        (4.2)

The equation 4.2 is consider as the governing equation of axial flow fan for 1-
Dimensional flow

                        ୴మ
            dp = ࣋       ౭
                           ୰
                               	dr                                             (4.3)
                                    ந
      							v୵ = 	 v୧	 × 	           ౬౟                                       (4.4)
                                 ଶ	
                                      ౫

                      ந	×୳           ந	×	஠ୈ୒	
 													v୵ =     ଶ
                                =       ଺଴×ଶ	
                                                                               (4.5)
                      ந	×ଷ.ଵସ	×ଶ	×୒×୰
															v୵ =                                                            (4.6)
                                ଺଴	×ଶ
                               ࣒	×ଷ.ଵସ	×ே
																		‫ݒ‬௪ 	 = 	ቀ          ଺଴
                                                ቁ‫ݎ‬                             (4.7)

                                             ࣒	×૜.૚૝	×ࡺ ૛
Pressure Rise = ∆p =࣋	ቀ                                   ቁ × 	 ‫ݎ݀	ݎ ׬‬
                                                ૟૙
                                                                         ்௜௣
                                               ట	×ଷ.ଵସ	×ே ଶ        ௥మ
Pressure Rise = 	∆p = ࣋ ቀ                                   ቁ ×	ቀ ଶ ቁ          (4.8)
                                                     ଺଴                  ு௨௕

           The aim of the flow modeling is to measure the pressure rise as a function of
whirl velocity and rotor speed for different diameter of blade from hub to tip in ducted
axial flow fan. In this flow modeling equation helps to optimize the parameter of pressure
rise for different whirl velocity in a ducted axial fan.
5.0 SIMULINK
      Simulink is a software package for modeling, simulating and analyzing dynamic
systems. It supports linear and nonlinear systems, modeled in continuous time, sampled
time, or a hybrid of the two. For modeling simulink provides a graphical user interface
for building models as block diagrams, using click and drag mouse operations. Simulink
includes a comprehensive block library of source, sink of linear and nonlinear
components and connectors.
5.1 SIMULINK MODEL FOR ONE DIMENSIONAL FLOW
           The one dimensional flow model is considered for simulation study. The
governing parameters of the fan considered are density of the fluid, diameter of blade
from hub to tip, inlet velocity, pressure ratio, rotor speed and the effects of variation of


                                                                  101
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME

these parameters are testified through simulink simulation model. Constant block, gain
block, Math function, Sum block, inverse block, and display block are the typical blocks
used for simulink mathematical model in one dimensional flow is shown in fig.6.




   Fig: 6 Simulink Flow Simulation Model for One Dimensional Flow in Ducted Axial Fan
6.0 RESULTS AND DISCUSSION
        The aim of the flow modeling and simulation is to compute the pressure rise as a
function of whirl velocity and rotor speed for different diameter of blade from hub to tip
in ducted axial flow fan. Flow modeling and simulation of one dimensional flow helps to
optimize the parameter of pressure rise for different whirl velocity in a ducted axial fan.

                                    35
                                                  Rotor Speed 3000 Rpm
                                    30
                                                  Rotor Speed 3600 Rpm
           Pressure Raise in N/m2




                                    25            Rotor Speed 3300 Rpm
                                    20            Rotor Speed 2700 Rpm

                                    15

                                    10

                                    5

                                    0
                                         0.0575     0.072       0.08625       0.115   0.23
                                                             Pressure Ratio

                  Fig.7 Pressure Raise Variations for fixed diameter of Blade Rotor at 0.381 m

                                                             102
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME

      Analysis of one dimensional flow modeling and their governing parameters were
made as a function of whirl velocity, diameter of hub from tip to hub and rotor speed for
ducted axial fan. The variations in pressure rise for different pressure ratio at a constant
diameter of blade of 0.381m is shown in fig.7. Maximum pressure magnitude is found to
be 32 N/ m2 for the pressure ratio of 0.23. Further, it varies from 1 to 10 N/ m2 when the
rotor speed is incremented by 300 rpm.
                                                            8
                                                                           Pressure Ratio 0.115
                                                            7              Pressure Ratio 0.0575
                                   Pressure Raise in N/m2




                                                            6              Pressure Ratio 0.08625
                                                                           Pressure Ratio 0.072
                                                            5
                                                            4
                                                            3
                                                            2
                                                            1
                                                            0
                                                                  2400    2600      2800     3000      3200     3400   3600
                                                                                      Rotor Speed ( Rpm )

Fig.8 Pressure Raise Variations for fixed diameter of Blade Rotor at 0.381 m

      The variations in pressure rise for different rotor speed from 2400 rpm to 3600 rpm
for fixed diameter of blade of 0.381 m is shown in fig.8. Maximum pressure magnitude is
found to be 8 N/ m2 for the pressure ratio of 0.115. Further, it varies from 1 to 5 N/ m2
when the rotor speed is incremented by 200 rpm.

                                   250
                                                                         Rotor Speed 3000 Rpm

                                   200                                   Rotor Speed 3600 Rpm
          Pressure Raise in N/m2




                                                                         Rotor Speed 2400 Rpm
                                   150                                   Rotor Speed 2700 Rpm
                                                                         Rotor Speed 3300 Rpm
                                   100


                                       50


                                                   0
                                                                0.0131    0.0714      0.01651      0.381      0.881    2.04
                                                                                   Blade Diameter in m

Fig.9 Pressure Raise Variations for fixed Pressure Ratio of 0.115


                                                                                        103
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME

      The variations in pressure rise for different diameter of blade from 0.0131m to 2.04
m at a constant pressure ratio of 0.115 is shown in fig.9. Maximum pressure magnitude is
found to be 210 N/ m2 for the blade diameter of 2.04 m. Further, it varies from 0 to 45 N/
m2 when the rotor speed is incremented by 300 rpm.

                                  160
                                                 Pressure Ratio 0.115
                                  140
                                                 Pressure Ratio 0.0575
          Pressure Rise in N/m2




                                  120            Pressure Ratio 0.08625
                                  100            Pressure Ratio 0.072
                                  80

                                  60

                                  40

                                  20

                                   0
                                        0.0131   0.0714    0.01651        0.381   0.881   2.04
                                                     Blade Diameter in m

Fig.10 Pressure Raise Variations at constant Rotor Speed of 3000 Rpm

      The variations in pressure rise for different diameter of blade from 0.0131m to 2.04
m at constant rotor speed of 3000 rpm is shown in fig.10. Maximum pressure magnitude
is found to be 160 N/ m2 for the pressure ratio of 0.115. Further, Pressure magnitude is
found to be varying from 0 to 160 N/ m2 for every double increment of rotor diameter.

7.0 CONCLUSION
        In this paper, an attempt has been made to develop the flow modeling and
simulation for one dimensional flow in ducted axial fan by using theory of radial
equilibrium equation. It is useful to design the operating condition of axial fan to measure
the parameters of pressure rise as a function of pressure ratio, rotor speed, and diameter
of blade from hub to tip in ducted axial fan. Further, this work can be extended by
working on the modeling and simulation of characteristic study in stall control. The
results so far discussed, indicate that flow modeling and simulation of one dimensional
flow in ducted axial fan is very promising.

ACKNOWLEDGEMENT
    The authors gratefully thank AICTE (rps) Grant. for the financial support of present
work.




                                                             104
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME

NOMENCLATURE
          cx = Axial velocity in m/s
            	ܿఏ = Whirl velocity in m/s
           r2 = Radius of blade tip in m
            r1 = Radius of blade hub in m
            N = Tip speed of the blades in rpm
            va = Axial velocity in m/s
          dp= P2 - P1 = Pressure rise in N/m2
            d = Diameter of the blade in m
           ρair = Density of air in kg/m3
            vw = Whirl velocity in m/s
             η = Efficiency of fan

REFERENCES

[1] Day I J,”Active Suppression of Rotating Stall and Surge in Axial Compressors”,
   ASME Journal of Turbo machinery, vol 115, P 40-47, 1993
[2] Patrick B Lawlees,”Active Control of Rotating Stall in a Low Speed Centrifugal
   Compressors”, Journal of Propulsion and Power, vol 15, No 1, P 38-44, 1999
[3]C A Poensgen ,”Rotating Stall in a Single-Stage Axial Compressor”, Journal of
  Turbo machinery, vol.118, P 189-196, 1996
[4] J D Paduano,” Modeling for Control of Rotating stall in High Speed Multistage
  Axial Compressor” ASME Journal of Turbo machinery, vol 118, P 1-10, 1996
[5] Chang Sik Kang,”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, 2005
[6] A H Epstein,”Active Suppression of Aerodynamic instabilities in turbo machines”,
Journal of Propulsion, vol 5, No 2, P 204-211, 1989
[7] Bram de Jager,”Rotating stall and surge control: A survey”, IEEE Proceedings of 34th
Conference on Decision and control, 1993
[8] S Ramamurthy,”Design, Testing and Analysis of Axial Flow Fan,” M E Thesis,
    Mechanical Engineering Dept, Indian Institute of Science, 1975
[9] S L Dixon, Fluid Mechanics and Thermodynamics of Turbo machinery, 5th
   edition, Pergamon, Oxford, 1998
[10] William W Peng, Fundamentals of Turbo machinery, John Wiley & sons.Inc,
     2008
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.



                                             105
International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME




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 Dean (Research and Development) in
CDGI, Indore, Madhyapradesh. 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.




                                             106

Mais conteúdo relacionado

Mais procurados

Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFTNonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
MichaelRabinovich
 

Mais procurados (17)

ON APPROACH OF OPTIMIZATION OF FORMATION OF INHOMOGENOUS DISTRIBUTIONS OF DOP...
ON APPROACH OF OPTIMIZATION OF FORMATION OF INHOMOGENOUS DISTRIBUTIONS OF DOP...ON APPROACH OF OPTIMIZATION OF FORMATION OF INHOMOGENOUS DISTRIBUTIONS OF DOP...
ON APPROACH OF OPTIMIZATION OF FORMATION OF INHOMOGENOUS DISTRIBUTIONS OF DOP...
 
Gy3312241229
Gy3312241229Gy3312241229
Gy3312241229
 
Maths Investigatory Project Class 12 on Differentiation
Maths Investigatory Project Class 12 on DifferentiationMaths Investigatory Project Class 12 on Differentiation
Maths Investigatory Project Class 12 on Differentiation
 
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFTNonlinear viscous hydrodynamics in various dimensions using AdS/CFT
Nonlinear viscous hydrodynamics in various dimensions using AdS/CFT
 
α Nearness ant colony system with adaptive strategies for the traveling sales...
α Nearness ant colony system with adaptive strategies for the traveling sales...α Nearness ant colony system with adaptive strategies for the traveling sales...
α Nearness ant colony system with adaptive strategies for the traveling sales...
 
H213949
H213949H213949
H213949
 
BNL_Research_Report
BNL_Research_ReportBNL_Research_Report
BNL_Research_Report
 
GPR Probing of Smoothly Layered Subsurface Medium: 3D Analytical Model
GPR Probing of Smoothly Layered Subsurface Medium: 3D Analytical ModelGPR Probing of Smoothly Layered Subsurface Medium: 3D Analytical Model
GPR Probing of Smoothly Layered Subsurface Medium: 3D Analytical Model
 
The convergence of the iterated irs method
The convergence of the iterated irs methodThe convergence of the iterated irs method
The convergence of the iterated irs method
 
Derivatives and it’s simple applications
Derivatives and it’s simple applicationsDerivatives and it’s simple applications
Derivatives and it’s simple applications
 
A fast efficient technique for the estimation of frequency
A fast efficient technique for the estimation of frequencyA fast efficient technique for the estimation of frequency
A fast efficient technique for the estimation of frequency
 
12 l1-harmonic methodology
12 l1-harmonic methodology12 l1-harmonic methodology
12 l1-harmonic methodology
 
MODIFICATION OF DOPANT CONCENTRATION PROFILE IN A FIELD-EFFECT HETEROTRANSIST...
MODIFICATION OF DOPANT CONCENTRATION PROFILE IN A FIELD-EFFECT HETEROTRANSIST...MODIFICATION OF DOPANT CONCENTRATION PROFILE IN A FIELD-EFFECT HETEROTRANSIST...
MODIFICATION OF DOPANT CONCENTRATION PROFILE IN A FIELD-EFFECT HETEROTRANSIST...
 
Master's thesis
Master's thesisMaster's thesis
Master's thesis
 
Lar calc10 ch04_sec4
Lar calc10 ch04_sec4Lar calc10 ch04_sec4
Lar calc10 ch04_sec4
 
Optimum range of angle tracking radars: a theoretical computing
Optimum range of angle tracking radars: a theoretical computingOptimum range of angle tracking radars: a theoretical computing
Optimum range of angle tracking radars: a theoretical computing
 
On selection of periodic kernels parameters in time series prediction
On selection of periodic kernels parameters in time series predictionOn selection of periodic kernels parameters in time series prediction
On selection of periodic kernels parameters in time series prediction
 

Destaque

Empirical evidnence on perception of risk about investments
Empirical evidnence on perception of risk about investmentsEmpirical evidnence on perception of risk about investments
Empirical evidnence on perception of risk about investments
iaemedu
 
A review on routing protocols and non uniformity
A review on routing protocols and non uniformityA review on routing protocols and non uniformity
A review on routing protocols and non uniformity
iaemedu
 
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems  choices and outlookIntegration of biosensors in the biomedical systems  choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
iaemedu
 
Effect of humanoid shaped obstacle on the velocity
Effect of humanoid shaped obstacle on the velocityEffect of humanoid shaped obstacle on the velocity
Effect of humanoid shaped obstacle on the velocity
iaemedu
 
Optimizing the parameters of wavelets for pattern matching using ga
Optimizing the parameters of wavelets for pattern matching using gaOptimizing the parameters of wavelets for pattern matching using ga
Optimizing the parameters of wavelets for pattern matching using ga
iaemedu
 
Improvement of quality awareness using six sigma methodology for achieving hi...
Improvement of quality awareness using six sigma methodology for achieving hi...Improvement of quality awareness using six sigma methodology for achieving hi...
Improvement of quality awareness using six sigma methodology for achieving hi...
iaemedu
 
Emotional intelligence among middle school teachers with reference to nagapat...
Emotional intelligence among middle school teachers with reference to nagapat...Emotional intelligence among middle school teachers with reference to nagapat...
Emotional intelligence among middle school teachers with reference to nagapat...
iaemedu
 
An emprirical investigation into factors affecting service quality among indi...
An emprirical investigation into factors affecting service quality among indi...An emprirical investigation into factors affecting service quality among indi...
An emprirical investigation into factors affecting service quality among indi...
iaemedu
 
Trust in relationship marketing
Trust in relationship marketingTrust in relationship marketing
Trust in relationship marketing
iaemedu
 

Destaque (9)

Empirical evidnence on perception of risk about investments
Empirical evidnence on perception of risk about investmentsEmpirical evidnence on perception of risk about investments
Empirical evidnence on perception of risk about investments
 
A review on routing protocols and non uniformity
A review on routing protocols and non uniformityA review on routing protocols and non uniformity
A review on routing protocols and non uniformity
 
Integration of biosensors in the biomedical systems choices and outlook
Integration of biosensors in the biomedical systems  choices and outlookIntegration of biosensors in the biomedical systems  choices and outlook
Integration of biosensors in the biomedical systems choices and outlook
 
Effect of humanoid shaped obstacle on the velocity
Effect of humanoid shaped obstacle on the velocityEffect of humanoid shaped obstacle on the velocity
Effect of humanoid shaped obstacle on the velocity
 
Optimizing the parameters of wavelets for pattern matching using ga
Optimizing the parameters of wavelets for pattern matching using gaOptimizing the parameters of wavelets for pattern matching using ga
Optimizing the parameters of wavelets for pattern matching using ga
 
Improvement of quality awareness using six sigma methodology for achieving hi...
Improvement of quality awareness using six sigma methodology for achieving hi...Improvement of quality awareness using six sigma methodology for achieving hi...
Improvement of quality awareness using six sigma methodology for achieving hi...
 
Emotional intelligence among middle school teachers with reference to nagapat...
Emotional intelligence among middle school teachers with reference to nagapat...Emotional intelligence among middle school teachers with reference to nagapat...
Emotional intelligence among middle school teachers with reference to nagapat...
 
An emprirical investigation into factors affecting service quality among indi...
An emprirical investigation into factors affecting service quality among indi...An emprirical investigation into factors affecting service quality among indi...
An emprirical investigation into factors affecting service quality among indi...
 
Trust in relationship marketing
Trust in relationship marketingTrust in relationship marketing
Trust in relationship marketing
 

Semelhante a Modeling and simulation of ducted axial fan for one dimensional flow no restriction

Zone of flow establishment in turbulent jets
Zone of flow establishment in turbulent jetsZone of flow establishment in turbulent jets
Zone of flow establishment in turbulent jets
Christos Kotsalos
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
iaemedu
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
iaemedu
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
iaemedu
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
iaemedu
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
IAEME Publication
 
Simulation of geometrical cross
Simulation of geometrical crossSimulation of geometrical cross
Simulation of geometrical cross
prjpublications
 
Chp%3 a10.1007%2f978 3-642-55753-8-3
Chp%3 a10.1007%2f978 3-642-55753-8-3Chp%3 a10.1007%2f978 3-642-55753-8-3
Chp%3 a10.1007%2f978 3-642-55753-8-3
Sabina Czyż
 
A numerical analysis of three dimensional darcy model in an inclined rect
A numerical analysis of three dimensional darcy model in an inclined rectA numerical analysis of three dimensional darcy model in an inclined rect
A numerical analysis of three dimensional darcy model in an inclined rect
IAEME Publication
 
Supersonic_Ramji_Amit_10241445
Supersonic_Ramji_Amit_10241445Supersonic_Ramji_Amit_10241445
Supersonic_Ramji_Amit_10241445
Amit Ramji ✈
 

Semelhante a Modeling and simulation of ducted axial fan for one dimensional flow no restriction (20)

Zone of flow establishment in turbulent jets
Zone of flow establishment in turbulent jetsZone of flow establishment in turbulent jets
Zone of flow establishment in turbulent jets
 
Ijmet 06 10_001
Ijmet 06 10_001Ijmet 06 10_001
Ijmet 06 10_001
 
Comparision of flow analysis through a different geometry of flowmeters using...
Comparision of flow analysis through a different geometry of flowmeters using...Comparision of flow analysis through a different geometry of flowmeters using...
Comparision of flow analysis through a different geometry of flowmeters using...
 
Analysis of convection diffusion problems at various peclet numbers using fin...
Analysis of convection diffusion problems at various peclet numbers using fin...Analysis of convection diffusion problems at various peclet numbers using fin...
Analysis of convection diffusion problems at various peclet numbers using fin...
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
 
Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...Octave wave sound signal measurements in ducted axial fan under stall region ...
Octave wave sound signal measurements in ducted axial fan under stall region ...
 
Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique
Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization TechniqueDynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique
Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique
 
Analytic Model of Wind Disturbance Torque on Servo Tracking Antenna
Analytic Model of Wind Disturbance Torque on Servo Tracking AntennaAnalytic Model of Wind Disturbance Torque on Servo Tracking Antenna
Analytic Model of Wind Disturbance Torque on Servo Tracking Antenna
 
A 1 D Breakup Model For
A 1 D Breakup Model ForA 1 D Breakup Model For
A 1 D Breakup Model For
 
Io2616501653
Io2616501653Io2616501653
Io2616501653
 
Simulation of geometrical cross
Simulation of geometrical crossSimulation of geometrical cross
Simulation of geometrical cross
 
Chp%3 a10.1007%2f978 3-642-55753-8-3
Chp%3 a10.1007%2f978 3-642-55753-8-3Chp%3 a10.1007%2f978 3-642-55753-8-3
Chp%3 a10.1007%2f978 3-642-55753-8-3
 
A numerical analysis of three dimensional darcy model in an inclined rect
A numerical analysis of three dimensional darcy model in an inclined rectA numerical analysis of three dimensional darcy model in an inclined rect
A numerical analysis of three dimensional darcy model in an inclined rect
 
Prediction of aerodynamic characteristics for slender bluff bodies with nose ...
Prediction of aerodynamic characteristics for slender bluff bodies with nose ...Prediction of aerodynamic characteristics for slender bluff bodies with nose ...
Prediction of aerodynamic characteristics for slender bluff bodies with nose ...
 
A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...
A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...
A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...
 
Supersonic_Ramji_Amit_10241445
Supersonic_Ramji_Amit_10241445Supersonic_Ramji_Amit_10241445
Supersonic_Ramji_Amit_10241445
 
Application of DRP scheme solving for rotating disk-driven cavity
Application of DRP scheme solving for rotating disk-driven cavityApplication of DRP scheme solving for rotating disk-driven cavity
Application of DRP scheme solving for rotating disk-driven cavity
 

Mais de iaemedu

Integration of feature sets with machine learning techniques
Integration of feature sets with machine learning techniquesIntegration of feature sets with machine learning techniques
Integration of feature sets with machine learning techniques
iaemedu
 
Effective broadcasting in mobile ad hoc networks using grid
Effective broadcasting in mobile ad hoc networks using gridEffective broadcasting in mobile ad hoc networks using grid
Effective broadcasting in mobile ad hoc networks using grid
iaemedu
 
Effect of scenario environment on the performance of mane ts routing
Effect of scenario environment on the performance of mane ts routingEffect of scenario environment on the performance of mane ts routing
Effect of scenario environment on the performance of mane ts routing
iaemedu
 
Adaptive job scheduling with load balancing for workflow application
Adaptive job scheduling with load balancing for workflow applicationAdaptive job scheduling with load balancing for workflow application
Adaptive job scheduling with load balancing for workflow application
iaemedu
 
Survey on transaction reordering
Survey on transaction reorderingSurvey on transaction reordering
Survey on transaction reordering
iaemedu
 
Semantic web services and its challenges
Semantic web services and its challengesSemantic web services and its challenges
Semantic web services and its challenges
iaemedu
 
Website based patent information searching mechanism
Website based patent information searching mechanismWebsite based patent information searching mechanism
Website based patent information searching mechanism
iaemedu
 
Revisiting the experiment on detecting of replay and message modification
Revisiting the experiment on detecting of replay and message modificationRevisiting the experiment on detecting of replay and message modification
Revisiting the experiment on detecting of replay and message modification
iaemedu
 
Prediction of customer behavior using cma
Prediction of customer behavior using cmaPrediction of customer behavior using cma
Prediction of customer behavior using cma
iaemedu
 
Performance analysis of manet routing protocol in presence
Performance analysis of manet routing protocol in presencePerformance analysis of manet routing protocol in presence
Performance analysis of manet routing protocol in presence
iaemedu
 
Performance measurement of different requirements engineering
Performance measurement of different requirements engineeringPerformance measurement of different requirements engineering
Performance measurement of different requirements engineering
iaemedu
 
Mobile safety systems for automobiles
Mobile safety systems for automobilesMobile safety systems for automobiles
Mobile safety systems for automobiles
iaemedu
 
Efficient text compression using special character replacement
Efficient text compression using special character replacementEfficient text compression using special character replacement
Efficient text compression using special character replacement
iaemedu
 
Agile programming a new approach
Agile programming a new approachAgile programming a new approach
Agile programming a new approach
iaemedu
 
Adaptive load balancing techniques in global scale grid environment
Adaptive load balancing techniques in global scale grid environmentAdaptive load balancing techniques in global scale grid environment
Adaptive load balancing techniques in global scale grid environment
iaemedu
 
A survey on the performance of job scheduling in workflow application
A survey on the performance of job scheduling in workflow applicationA survey on the performance of job scheduling in workflow application
A survey on the performance of job scheduling in workflow application
iaemedu
 
A survey of mitigating routing misbehavior in mobile ad hoc networks
A survey of mitigating routing misbehavior in mobile ad hoc networksA survey of mitigating routing misbehavior in mobile ad hoc networks
A survey of mitigating routing misbehavior in mobile ad hoc networks
iaemedu
 
A novel approach for satellite imagery storage by classify
A novel approach for satellite imagery storage by classifyA novel approach for satellite imagery storage by classify
A novel approach for satellite imagery storage by classify
iaemedu
 
A self recovery approach using halftone images for medical imagery
A self recovery approach using halftone images for medical imageryA self recovery approach using halftone images for medical imagery
A self recovery approach using halftone images for medical imagery
iaemedu
 

Mais de iaemedu (20)

Tech transfer making it as a risk free approach in pharmaceutical and biotech in
Tech transfer making it as a risk free approach in pharmaceutical and biotech inTech transfer making it as a risk free approach in pharmaceutical and biotech in
Tech transfer making it as a risk free approach in pharmaceutical and biotech in
 
Integration of feature sets with machine learning techniques
Integration of feature sets with machine learning techniquesIntegration of feature sets with machine learning techniques
Integration of feature sets with machine learning techniques
 
Effective broadcasting in mobile ad hoc networks using grid
Effective broadcasting in mobile ad hoc networks using gridEffective broadcasting in mobile ad hoc networks using grid
Effective broadcasting in mobile ad hoc networks using grid
 
Effect of scenario environment on the performance of mane ts routing
Effect of scenario environment on the performance of mane ts routingEffect of scenario environment on the performance of mane ts routing
Effect of scenario environment on the performance of mane ts routing
 
Adaptive job scheduling with load balancing for workflow application
Adaptive job scheduling with load balancing for workflow applicationAdaptive job scheduling with load balancing for workflow application
Adaptive job scheduling with load balancing for workflow application
 
Survey on transaction reordering
Survey on transaction reorderingSurvey on transaction reordering
Survey on transaction reordering
 
Semantic web services and its challenges
Semantic web services and its challengesSemantic web services and its challenges
Semantic web services and its challenges
 
Website based patent information searching mechanism
Website based patent information searching mechanismWebsite based patent information searching mechanism
Website based patent information searching mechanism
 
Revisiting the experiment on detecting of replay and message modification
Revisiting the experiment on detecting of replay and message modificationRevisiting the experiment on detecting of replay and message modification
Revisiting the experiment on detecting of replay and message modification
 
Prediction of customer behavior using cma
Prediction of customer behavior using cmaPrediction of customer behavior using cma
Prediction of customer behavior using cma
 
Performance analysis of manet routing protocol in presence
Performance analysis of manet routing protocol in presencePerformance analysis of manet routing protocol in presence
Performance analysis of manet routing protocol in presence
 
Performance measurement of different requirements engineering
Performance measurement of different requirements engineeringPerformance measurement of different requirements engineering
Performance measurement of different requirements engineering
 
Mobile safety systems for automobiles
Mobile safety systems for automobilesMobile safety systems for automobiles
Mobile safety systems for automobiles
 
Efficient text compression using special character replacement
Efficient text compression using special character replacementEfficient text compression using special character replacement
Efficient text compression using special character replacement
 
Agile programming a new approach
Agile programming a new approachAgile programming a new approach
Agile programming a new approach
 
Adaptive load balancing techniques in global scale grid environment
Adaptive load balancing techniques in global scale grid environmentAdaptive load balancing techniques in global scale grid environment
Adaptive load balancing techniques in global scale grid environment
 
A survey on the performance of job scheduling in workflow application
A survey on the performance of job scheduling in workflow applicationA survey on the performance of job scheduling in workflow application
A survey on the performance of job scheduling in workflow application
 
A survey of mitigating routing misbehavior in mobile ad hoc networks
A survey of mitigating routing misbehavior in mobile ad hoc networksA survey of mitigating routing misbehavior in mobile ad hoc networks
A survey of mitigating routing misbehavior in mobile ad hoc networks
 
A novel approach for satellite imagery storage by classify
A novel approach for satellite imagery storage by classifyA novel approach for satellite imagery storage by classify
A novel approach for satellite imagery storage by classify
 
A self recovery approach using halftone images for medical imagery
A self recovery approach using halftone images for medical imageryA self recovery approach using halftone images for medical imagery
A self recovery approach using halftone images for medical imagery
 

Modeling and simulation of ducted axial fan for one dimensional flow no restriction

  • 1. International Journal of Advanced Research in Engineering and Technology RESEARCH IN– INTERNATIONAL JOURNAL OF ADVANCED (IJARET), ISSN 0976 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME ENGINEERING AND TECHNOLOGY (IJARET) ISSN 0976 - 6480 (Print) ISSN 0976 - 6499 (Online) IJARET Volume 3, Issue 1, January- June (2012), pp. 97-106 © IAEME: www.iaeme.com/ijaret.html ©IAEME Journal Impact Factor (2011): 0.7315 (Calculated by GISI) www.jifactor.com MODELING AND SIMULATION OF DUCTED AXIAL FAN FOR ONE DIMENSIONAL FLOW 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 Dean (Research and Development), CDGI, Indore, Madhya Pradesh . 4 Professor and Head, Mechanical Department, Government Engg. College, KRPET-571426. ABSTRACT The paper presents to develop the analogy for modeling and simulation of ducted Axial Fan by using the one dimensional flow equation of axial turbo machines. Main objective of this paper is to derive the flow model from radial equilibrium concepts and compute the pressure rise for varying the functional parameters of inlet velocity, whirl velocity, rotor speed and diameter of blade from hub to tip in ducted axial fan by using simulink software for one dimensional flow. In this main phase of paper, the analogies for modeling and simulation has been investigated for optimize the parameter of pressure rise in ducted axial flow fan. Keywords: Pressure rise, Whirl velocity, Pressure Ratio, Flow ratio, Rotor speed, Simulink, Axial Fan. 1.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 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. 97
  • 2. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME Fig: 1 Graphical representation of Axial Fan performance curve 2. 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. Fig: 2 Ducted Axial Fan Rig A 2 HP Variable frequency 3 phase induction electrical drive is coupled to 3-phase the electrical motor to derive variable speed ranges. Schematic representation of ducted fan setup is shown in figure 3. 98
  • 3. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME Fig: 3 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 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 GOVERNING EQUATION 3.1 Continuity Equation A continuity equation in physics is a differential equation that describes the transport of some kind of conserved quantity. Since mass, energy, momentum, electric charge and other natural quantities are conserved. Continuity equation ߩଵ × ‫ܣ‬ଵ × ܸଵ ߩଶ × ‫ܣ‬ଶ × ܸଶ (3.1) 3.2 Momentum Equation A body of mass m subject to a net force F undergoes an acceleration that has the same direction as the force and a magnitude that is directly proportional to the force and inversely proportional to the mass. Alternatively, the total force applied on a body is equal to the time derivative of linear momentum of the body. Momentum equation 99
  • 4. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME డ ଶ ሺߩ௠ ߭௠ ) + ∇. ሺߩ௠ ߭௠ ) = డ௧ ∆p + ∇. [μ୫ (∆߭௠ + Δ߭௠ )]+ ߩ௠ ݃ + ‫ + ܨ‬Δ. ൫∑௡ ߙ௞ ߩ௞ ߭ௗ௥,௞ ߭ௗ௥.௞ ൯ (3.2) ் ௞ୀଵ 3.3 Energy Equation Energy may be stored in systems without being present as matter, or as kinetic or electromagnetic energy. The law of conservation of energy is a law of physics. It states that the total amount of energy in an system remains constant over time (is said to be conserved over time). A consequence of this law is that energy can neither be created nor destroyed: it can only be transformed from one state to another Energy equation డ ∑௡ ሺߙ௞ ߩ௞ ‫ܧ‬௞ ) + ∆. ሺ∑௡ ሺߙ௞ ߭௞ ሺߩ௞ ‫ܧ‬௞ + ܲ)) = ∆. ൫݇௘௙௙ ∇ܶ൯ + ܵா (3.3) ௞ୀଵ ௞ୀଵ డ௧ 4.0 FLOW MODELING FOR ONE DIMENSIONAL FLOW 4.1 Radial Equilibrium Concepts and evaluation Consider a small element of fluid of mass dm as shown in fig.4 and fig.5 of unit depth and subtending an angle dθ at the axis and rotating about the axis with tangential velocity and ܿ௾ at radius r. C asing p+dp Mass/Unit depth Streamlines dr = ρrdθdr Velocity = c θ p+1/2 dp p+1/2 dp p r dθ Hub Axis Fig: 4 Radial equilibrium flow through a rotor blade row Fig: 5 A fluid element in radial equilibrium ( Cr = 0) The general three dimensional momentum equation of inviscid fluid in a radial direction expressed in a cylindrical coordinate system can be written as follows: ଵ ப୮ ப୚୰ ୚୳ ப୚౨ ப୚౨ ୴మ − ቀ ஡ ப୰ ቁ = Vr ቀ ப୰ ቁ + ቀ ப஘ ቁ + Va − ౭ (4.1) ୰ ப୸ ୰ 100
  • 5. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME Assuming axisymmetric flow and imposing a zero radial flow velocity, it can be simplified to ଵ ப୮ ୴మ = ஡ ப୰ ౭ ୰ (4.2) The equation 4.2 is consider as the governing equation of axial flow fan for 1- Dimensional flow ୴మ dp = ࣋ ౭ ୰ dr (4.3) ந v୵ = v୧ × ౬౟ (4.4) ଶ ౫ ந ×୳ ந × ஠ୈ୒ v୵ = ଶ = ଺଴×ଶ (4.5) ந ×ଷ.ଵସ ×ଶ ×୒×୰ v୵ = (4.6) ଺଴ ×ଶ ࣒ ×ଷ.ଵସ ×ே ‫ݒ‬௪ = ቀ ଺଴ ቁ‫ݎ‬ (4.7) ࣒ ×૜.૚૝ ×ࡺ ૛ Pressure Rise = ∆p =࣋ ቀ ቁ × ‫ݎ݀ ݎ ׬‬ ૟૙ ்௜௣ ట ×ଷ.ଵସ ×ே ଶ ௥మ Pressure Rise = ∆p = ࣋ ቀ ቁ × ቀ ଶ ቁ (4.8) ଺଴ ு௨௕ The aim of the flow modeling is to measure the pressure rise as a function of whirl velocity and rotor speed for different diameter of blade from hub to tip in ducted axial flow fan. In this flow modeling equation helps to optimize the parameter of pressure rise for different whirl velocity in a ducted axial fan. 5.0 SIMULINK Simulink is a software package for modeling, simulating and analyzing dynamic systems. It supports linear and nonlinear systems, modeled in continuous time, sampled time, or a hybrid of the two. For modeling simulink provides a graphical user interface for building models as block diagrams, using click and drag mouse operations. Simulink includes a comprehensive block library of source, sink of linear and nonlinear components and connectors. 5.1 SIMULINK MODEL FOR ONE DIMENSIONAL FLOW The one dimensional flow model is considered for simulation study. The governing parameters of the fan considered are density of the fluid, diameter of blade from hub to tip, inlet velocity, pressure ratio, rotor speed and the effects of variation of 101
  • 6. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME these parameters are testified through simulink simulation model. Constant block, gain block, Math function, Sum block, inverse block, and display block are the typical blocks used for simulink mathematical model in one dimensional flow is shown in fig.6. Fig: 6 Simulink Flow Simulation Model for One Dimensional Flow in Ducted Axial Fan 6.0 RESULTS AND DISCUSSION The aim of the flow modeling and simulation is to compute the pressure rise as a function of whirl velocity and rotor speed for different diameter of blade from hub to tip in ducted axial flow fan. Flow modeling and simulation of one dimensional flow helps to optimize the parameter of pressure rise for different whirl velocity in a ducted axial fan. 35 Rotor Speed 3000 Rpm 30 Rotor Speed 3600 Rpm Pressure Raise in N/m2 25 Rotor Speed 3300 Rpm 20 Rotor Speed 2700 Rpm 15 10 5 0 0.0575 0.072 0.08625 0.115 0.23 Pressure Ratio Fig.7 Pressure Raise Variations for fixed diameter of Blade Rotor at 0.381 m 102
  • 7. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME Analysis of one dimensional flow modeling and their governing parameters were made as a function of whirl velocity, diameter of hub from tip to hub and rotor speed for ducted axial fan. The variations in pressure rise for different pressure ratio at a constant diameter of blade of 0.381m is shown in fig.7. Maximum pressure magnitude is found to be 32 N/ m2 for the pressure ratio of 0.23. Further, it varies from 1 to 10 N/ m2 when the rotor speed is incremented by 300 rpm. 8 Pressure Ratio 0.115 7 Pressure Ratio 0.0575 Pressure Raise in N/m2 6 Pressure Ratio 0.08625 Pressure Ratio 0.072 5 4 3 2 1 0 2400 2600 2800 3000 3200 3400 3600 Rotor Speed ( Rpm ) Fig.8 Pressure Raise Variations for fixed diameter of Blade Rotor at 0.381 m The variations in pressure rise for different rotor speed from 2400 rpm to 3600 rpm for fixed diameter of blade of 0.381 m is shown in fig.8. Maximum pressure magnitude is found to be 8 N/ m2 for the pressure ratio of 0.115. Further, it varies from 1 to 5 N/ m2 when the rotor speed is incremented by 200 rpm. 250 Rotor Speed 3000 Rpm 200 Rotor Speed 3600 Rpm Pressure Raise in N/m2 Rotor Speed 2400 Rpm 150 Rotor Speed 2700 Rpm Rotor Speed 3300 Rpm 100 50 0 0.0131 0.0714 0.01651 0.381 0.881 2.04 Blade Diameter in m Fig.9 Pressure Raise Variations for fixed Pressure Ratio of 0.115 103
  • 8. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME The variations in pressure rise for different diameter of blade from 0.0131m to 2.04 m at a constant pressure ratio of 0.115 is shown in fig.9. Maximum pressure magnitude is found to be 210 N/ m2 for the blade diameter of 2.04 m. Further, it varies from 0 to 45 N/ m2 when the rotor speed is incremented by 300 rpm. 160 Pressure Ratio 0.115 140 Pressure Ratio 0.0575 Pressure Rise in N/m2 120 Pressure Ratio 0.08625 100 Pressure Ratio 0.072 80 60 40 20 0 0.0131 0.0714 0.01651 0.381 0.881 2.04 Blade Diameter in m Fig.10 Pressure Raise Variations at constant Rotor Speed of 3000 Rpm The variations in pressure rise for different diameter of blade from 0.0131m to 2.04 m at constant rotor speed of 3000 rpm is shown in fig.10. Maximum pressure magnitude is found to be 160 N/ m2 for the pressure ratio of 0.115. Further, Pressure magnitude is found to be varying from 0 to 160 N/ m2 for every double increment of rotor diameter. 7.0 CONCLUSION In this paper, an attempt has been made to develop the flow modeling and simulation for one dimensional flow in ducted axial fan by using theory of radial equilibrium equation. It is useful to design the operating condition of axial fan to measure the parameters of pressure rise as a function of pressure ratio, rotor speed, and diameter of blade from hub to tip in ducted axial fan. Further, this work can be extended by working on the modeling and simulation of characteristic study in stall control. The results so far discussed, indicate that flow modeling and simulation of one dimensional flow in ducted axial fan is very promising. ACKNOWLEDGEMENT The authors gratefully thank AICTE (rps) Grant. for the financial support of present work. 104
  • 9. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME NOMENCLATURE cx = Axial velocity in m/s ܿఏ = Whirl velocity in m/s r2 = Radius of blade tip in m r1 = Radius of blade hub in m N = Tip speed of the blades in rpm va = Axial velocity in m/s dp= P2 - P1 = Pressure rise in N/m2 d = Diameter of the blade in m ρair = Density of air in kg/m3 vw = Whirl velocity in m/s η = Efficiency of fan REFERENCES [1] Day I J,”Active Suppression of Rotating Stall and Surge in Axial Compressors”, ASME Journal of Turbo machinery, vol 115, P 40-47, 1993 [2] Patrick B Lawlees,”Active Control of Rotating Stall in a Low Speed Centrifugal Compressors”, Journal of Propulsion and Power, vol 15, No 1, P 38-44, 1999 [3]C A Poensgen ,”Rotating Stall in a Single-Stage Axial Compressor”, Journal of Turbo machinery, vol.118, P 189-196, 1996 [4] J D Paduano,” Modeling for Control of Rotating stall in High Speed Multistage Axial Compressor” ASME Journal of Turbo machinery, vol 118, P 1-10, 1996 [5] Chang Sik Kang,”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, 2005 [6] A H Epstein,”Active Suppression of Aerodynamic instabilities in turbo machines”, Journal of Propulsion, vol 5, No 2, P 204-211, 1989 [7] Bram de Jager,”Rotating stall and surge control: A survey”, IEEE Proceedings of 34th Conference on Decision and control, 1993 [8] S Ramamurthy,”Design, Testing and Analysis of Axial Flow Fan,” M E Thesis, Mechanical Engineering Dept, Indian Institute of Science, 1975 [9] S L Dixon, Fluid Mechanics and Thermodynamics of Turbo machinery, 5th edition, Pergamon, Oxford, 1998 [10] William W Peng, Fundamentals of Turbo machinery, John Wiley & sons.Inc, 2008 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. 105
  • 10. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 3, Number 1, January - June (2012), © IAEME 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 Dean (Research and Development) in CDGI, Indore, Madhyapradesh. 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. 106