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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1091
Study of Heat Transfer rate using V-pin fins by using CFD analysis.
Abhijit Rajole1, Kailas Pardeshi2, Firoj Pathan3, Navnath Khokale4, Manoj Ganage5, Shashikant
Dughad6
1,2,3,4 BE student Mechanical, SND COE & RC, YEOLA, Maharashtra, India
5 Asst. Prof. Mechanical, SND COE & RC, YEOLA, Maharashtra, India
6 Prof. Mechanical, SND COE & RC, YEOLA, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – In most of the cases, the heat transfer takes place
by conduction & convection. Heat is conducted in solid
material up to its surface & finally the heat is rejected by
convection from its surface to surrounding. Thus aim is to
increase the heat transfer rates from the surface so that the
temperature of solid surface is maintained withindesiredlimit
to avoid damage to the surface. In design consideration
temperatures are fixed. Therefore there are two ways to
increase heat transfer rate; either by increasing heat transfer
coefficient (h) or by increasing the surface area. Increasing ‘h’
may require the installation of pump or fan.Butapproachmay
or may not be practical. The alternative is to increase the
surface area by attaching extended surface called as fins. Fins
are made highly conductive materials such as aluminum.
Fins enhanceheat transfer from asurfacebyexposing
a layer surface area to convection & radiation. The fins like
rectangular, trapezoidal, V-fins are used to increase the heat
transfer rates. The steady-state natural convection heat
transfer from fins extending perpendicularly from vertical
rectangular base here investigated analytically. The effects of
geometric parameters on the heat transfer performance offin
arrays were observed and the maximum heat transfer rates
were determined by CFD analysis.
Key words: Heat Transfer, Conduction, Convection,
Radiation, Heat Transfer Rate, CFD, V-pin fins.
1.1INTRODUCTION
1.1.1. NEED OF STUDY
The development of high performance thermal system
has stimulated interests in the methods to enhance the heat
transfer. But the enhancement techniques are frequently
accompanied by increase in cost, weight and complicated
manufacturing techniquesand material. Hence thedesigner
should also evaluate the performance of the enhancement
technique in terms of applicable design constrains. The
Objectives of our study are:
 To test the various V-fins array models, with
variations in the included angle with the help of
computational fluid dynamics and find the angle
giving maximum heat transfercoefficientamongthe
models chosen.
 To validate the results obtained for the optimum
angle by the application of computational fluid
dynamics with standard paper.
PROBLEM DEFINITION:
As the continuous increasing of globalization the heat
produced by various application such as engine, electronics
equipment etc. are transfer rapidly.
For this heat transfer from the appliances the extended
surface called as fins are used. Fins are in the form of arrays
which is arranged on the circumference of the heated
surface.
1.1.2. STUDY OF ENHANCEMENT TECHNIQUES
Enhancement techniques are classified in two groups –
Active Techniques and passive techniques. Passive
techniques employ special surface geometries or fluid
additives for enhancement i.e. no direct application of
external power. While active techniques require external
power such as electric or acoustic fields and surface
vibrations. Passive techniques consist treated surfaces,
rough surfaces, displaced enhancement devices, swirl flow
devices, extended surfaces, and additives for liquids and for
gases surface tension devices. Active techniques include
mechanical aids, surface vibrations, fluid vibrations, electro
of magnetic fields, and injection on suction and jet
impingements.
The majority of commercially interesting enhancement
techniquesare passive. The active technique have not found
commercial interest because of the capital and operating
cost of the enhancement devices sand problems associated
with vibration or acoustic noise. We shall studytheextended
surface passive technique of enhancement.
Applications of Finned surface in various fields.
1. Tubes of various heat exchangers, for example,
radiator of cooling system, condenser tubes of
domestic refrigerators, and intercoolers of air
compressors are having finned surfaces exposed to
ambient air.
2. The head and Cylinder of air cooled engines and
compressors are provided with fins.
3. Outside surfacesof the coolinganddehumidifyingcoils
in the air conditioning systems are provided with fins.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1092
4. Electronic componentssuch as diodes, transistorsetc.
are provided with finned surfaceswhich are knownas
heat sinks.
5. Direct energy conversion devices.
6. Nuclear fuel modules.
7. Process heat dissipaters and waste heat boilers.
8. Conventional furnaces and gas turbines.
1.2 WHAT IS CFD?
CFD: A methodology for obtaining a discrete solution of real
world fluid flow problems. – Discrete Solution: Solution is
obtained at a finite collection of space points and at discrete
time levels
1.2.1. The Benefits of CFD:-
1. Insight: Difficult to prototype or test through
experimentation.
2. Foresight: Better prediction in a short time.
3. Efficiency:
a. Design better and faster, economical, meet
environmental regulations and ensure
industry compliance.
b. CFD analysisrequires to shorter designcycles
and production to market faster.
c. In addition, equipment improvements are
built and installed with minimum downtime.
d. CFD is a tool for compressing the design and
development cycle allowing for rapid
prototyping.
STEPS OF CFD ANALYSIS FLOW DIAGRAM
Fig.1.1. Steps of CFD Analysis diagram
1.3. STUDY OF COMPUTATIONAL ANALYSIS.
Computational methods are more and more widely applied
to simulation rather than experimental analysis of any new
object, to orient experimental planning and ultimately, to
avoid costly experiment and waste of material and time.
One of the computational analysis method widely
used is CFD. CFD is a” Computational Fluid Dynamics". CFD
uses numerical methods to obtain the result of the
fundamental nonlinear differential equations that describe
fluid flow (the Navier-Stokes and allied equations) for
predefined geometries and boundary layer conditions. The
result is a wealth of predictions for flow velocity,
temperature, density, and chemical concentrations for any
region where flow occurs. Another major field in which
Computational Fluid Dynamics is expensively used is heat
transfer. Heat as the form of energy that can be transferred
from one system to another as a result of temperature
difference.
There are basically three modes of heat transfer:
1. Conduction
2. Convection
3. Radiation
A thermodynamic analysis is belonging with the
amount of heat transfer as a system undergoes a process
from one equilibrium state to another. The sciencethatdeals
with the determination of the rates of such energy transfers
is the heat transfer. The transfer of heat is always from the
higher-temperature surface to the lower-temperature one.
1.4. BASIC DEFINITIONS RELATED TO HEAT
TRANSFER.
a. CONDUCTION:
Conduction transfers heat via direct molecular collision. An
area of grater kinetic energy will transfer thermal energy to
an area with lower kinetic energy, higherspeedparticleswill
collide with slower speed particles. The slower speed
particles will increase the KE. Conduction is the most
common form of heat transfer via physical contact.
b. CONVECTION:-
The process of heat convection is due to the capacity of
moving matter to carry heat energy. The transfer of heat by
convection takes place between a solid surface and the
adjacent liquid or gaslayer that is in motion. In case thefluid
is at rest then the transfer of heat between the solid surface
and the adjacent layer of fluid is purely by convection.
Real World flow problems
Mathematical Model
(GE + BCs +IC)
Discrete Equations (algebraic eq)
Decoupled /Coupled
Solution of algebraic equations
Post Processing and Data analysis,
flow visualization
Problem Statement & Original work plan
Conclusion
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1093
TYPE’S OF CONVECTION:-
i. Natural convection:-
In case the fluid moves due to density difference
caused by the heat transfer between solid surface
and fluid it is said to be by natural convection. It is
also called as free convection.
ii. Forced convection:-
If the fluid motion is imparted by external means
like pump, fan, compressor, slope etc. the
convection is called forced convection.
Fig.1.2. Types of convection
c. RADIATION:-
Thermal radiation is defined as the transfer of heat due to
electromagnetic waves without requiring any medium.
Fig.1.3. Three modes of heat transfer
1.5. STUDY OF THERMAL CONDUCTIVITYANDTHERMAL
CONDUCTIVITY OF DIFFERENT MATERIALS.
a. THERMAL CONDUCTIVITY: -
Thermal conductivity is the ability of material to conduct
heat through it. It can also be defined as the amount of heat
flow per unit area normal to the direction of heat flow
through unit thickness of the material per unit temperature
difference.
b. THERMAL CONDUCTIVITYOFDIFFERENTMATERIALS.
Material Thermal conductivity k (W/mk)
Silver 417
Copper 386
Aluminium 202
Magnesium 171
Tungston 166
Zinc 112
Brass 108
Table 1.1. Thermal conductivity of various materials.
1.5.1 STUDY OF EFFECTOFVARIATIONOFTEMPRATURE
ON THERMAL CONDUCTIVITY.
The heat conduction in solids is both by transport of free
electrons and lattice vibrations. When temp of metal
increases, the lattice vibration impede the motion of free
electrons. Due to this the thermal conductivity ofmostofthe
pure metals decreases with increase in temperature.
Fig.1.4. variation of thermal conductivity of metals with
temperature
1.6. CONCLUSION
We are studied the computational fluid dynamics and
different enhancement technique of heat transfer ,mode of
heat transfer and thermal conductivity and its effect with
respect to change in temperature of different material.
REFERENCES
1) Yunus A. Cengel, “Heat and Mass Transfer – A Practical
Approach”.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1094
2) Xiaohui Zhang and Dawei Liu “Optimum geometric
arrangement of vertical rectangular fin arrays in natural
convection” (2010).
3) S.A.Nada, “Natural convection heat transfer in horizontal
and vertical closed narrow enclosures with heated
rectangular finned base plate” (2006).
4) R.L.Edlabadkar, N.K. Sane, and G.V. Parishwad,
“Computational Analysis of Natural Convection with Single
V-Type Partition Plate” (2006).
5)M. J. Sable, S. J. Sable , P. S. Patil , P. R. Baviskar, and S.B.
Barve ,“Enhancement of Natural Convection Heat Transfer
on Vertical Heated Plate by Multiple V-Fin Array” (2010).
6) S.H. Barhatte, M.R. Chopade and V.N. Kapatkar,
“Experimental and ComputationalAnalysisandOptimization
for Heat Transfer through Fins with Different Types of
Notch” “Heat Transfer in Natural Convection in Two Vertical
and One Horizontal Plate – An Overview” by Mahendra P.
Nimkar.
BIOGRAPHIES
Abhijit A. Rajole, SND COE Yeola,
Pune University, Department of
Mechanical Engineering.
Kailas C. Pardeshi, SND COE Yeola,
Pune University, Department of
Mechanical Engineering.
Firoj J. Pathan, SND COE Yeola, Pune
University, Department of
Mechanical Engineering.
Navnath B. Khokale, SND COE Yeola,
Pune University, Department of
Mechanical Engineering.
Prof. Manoj D. Ganage, SND COE
Yeola, Pune University, Department
of Mechanical Engineering.
Prof. Shashikant N. Dughad,SNDCOE
Yeola, Pune University, Department
of Mechanical Engineering.

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Study of Heat Transfer rate using V-pin Fins by using CFD Analysis

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1091 Study of Heat Transfer rate using V-pin fins by using CFD analysis. Abhijit Rajole1, Kailas Pardeshi2, Firoj Pathan3, Navnath Khokale4, Manoj Ganage5, Shashikant Dughad6 1,2,3,4 BE student Mechanical, SND COE & RC, YEOLA, Maharashtra, India 5 Asst. Prof. Mechanical, SND COE & RC, YEOLA, Maharashtra, India 6 Prof. Mechanical, SND COE & RC, YEOLA, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – In most of the cases, the heat transfer takes place by conduction & convection. Heat is conducted in solid material up to its surface & finally the heat is rejected by convection from its surface to surrounding. Thus aim is to increase the heat transfer rates from the surface so that the temperature of solid surface is maintained withindesiredlimit to avoid damage to the surface. In design consideration temperatures are fixed. Therefore there are two ways to increase heat transfer rate; either by increasing heat transfer coefficient (h) or by increasing the surface area. Increasing ‘h’ may require the installation of pump or fan.Butapproachmay or may not be practical. The alternative is to increase the surface area by attaching extended surface called as fins. Fins are made highly conductive materials such as aluminum. Fins enhanceheat transfer from asurfacebyexposing a layer surface area to convection & radiation. The fins like rectangular, trapezoidal, V-fins are used to increase the heat transfer rates. The steady-state natural convection heat transfer from fins extending perpendicularly from vertical rectangular base here investigated analytically. The effects of geometric parameters on the heat transfer performance offin arrays were observed and the maximum heat transfer rates were determined by CFD analysis. Key words: Heat Transfer, Conduction, Convection, Radiation, Heat Transfer Rate, CFD, V-pin fins. 1.1INTRODUCTION 1.1.1. NEED OF STUDY The development of high performance thermal system has stimulated interests in the methods to enhance the heat transfer. But the enhancement techniques are frequently accompanied by increase in cost, weight and complicated manufacturing techniquesand material. Hence thedesigner should also evaluate the performance of the enhancement technique in terms of applicable design constrains. The Objectives of our study are:  To test the various V-fins array models, with variations in the included angle with the help of computational fluid dynamics and find the angle giving maximum heat transfercoefficientamongthe models chosen.  To validate the results obtained for the optimum angle by the application of computational fluid dynamics with standard paper. PROBLEM DEFINITION: As the continuous increasing of globalization the heat produced by various application such as engine, electronics equipment etc. are transfer rapidly. For this heat transfer from the appliances the extended surface called as fins are used. Fins are in the form of arrays which is arranged on the circumference of the heated surface. 1.1.2. STUDY OF ENHANCEMENT TECHNIQUES Enhancement techniques are classified in two groups – Active Techniques and passive techniques. Passive techniques employ special surface geometries or fluid additives for enhancement i.e. no direct application of external power. While active techniques require external power such as electric or acoustic fields and surface vibrations. Passive techniques consist treated surfaces, rough surfaces, displaced enhancement devices, swirl flow devices, extended surfaces, and additives for liquids and for gases surface tension devices. Active techniques include mechanical aids, surface vibrations, fluid vibrations, electro of magnetic fields, and injection on suction and jet impingements. The majority of commercially interesting enhancement techniquesare passive. The active technique have not found commercial interest because of the capital and operating cost of the enhancement devices sand problems associated with vibration or acoustic noise. We shall studytheextended surface passive technique of enhancement. Applications of Finned surface in various fields. 1. Tubes of various heat exchangers, for example, radiator of cooling system, condenser tubes of domestic refrigerators, and intercoolers of air compressors are having finned surfaces exposed to ambient air. 2. The head and Cylinder of air cooled engines and compressors are provided with fins. 3. Outside surfacesof the coolinganddehumidifyingcoils in the air conditioning systems are provided with fins.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1092 4. Electronic componentssuch as diodes, transistorsetc. are provided with finned surfaceswhich are knownas heat sinks. 5. Direct energy conversion devices. 6. Nuclear fuel modules. 7. Process heat dissipaters and waste heat boilers. 8. Conventional furnaces and gas turbines. 1.2 WHAT IS CFD? CFD: A methodology for obtaining a discrete solution of real world fluid flow problems. – Discrete Solution: Solution is obtained at a finite collection of space points and at discrete time levels 1.2.1. The Benefits of CFD:- 1. Insight: Difficult to prototype or test through experimentation. 2. Foresight: Better prediction in a short time. 3. Efficiency: a. Design better and faster, economical, meet environmental regulations and ensure industry compliance. b. CFD analysisrequires to shorter designcycles and production to market faster. c. In addition, equipment improvements are built and installed with minimum downtime. d. CFD is a tool for compressing the design and development cycle allowing for rapid prototyping. STEPS OF CFD ANALYSIS FLOW DIAGRAM Fig.1.1. Steps of CFD Analysis diagram 1.3. STUDY OF COMPUTATIONAL ANALYSIS. Computational methods are more and more widely applied to simulation rather than experimental analysis of any new object, to orient experimental planning and ultimately, to avoid costly experiment and waste of material and time. One of the computational analysis method widely used is CFD. CFD is a” Computational Fluid Dynamics". CFD uses numerical methods to obtain the result of the fundamental nonlinear differential equations that describe fluid flow (the Navier-Stokes and allied equations) for predefined geometries and boundary layer conditions. The result is a wealth of predictions for flow velocity, temperature, density, and chemical concentrations for any region where flow occurs. Another major field in which Computational Fluid Dynamics is expensively used is heat transfer. Heat as the form of energy that can be transferred from one system to another as a result of temperature difference. There are basically three modes of heat transfer: 1. Conduction 2. Convection 3. Radiation A thermodynamic analysis is belonging with the amount of heat transfer as a system undergoes a process from one equilibrium state to another. The sciencethatdeals with the determination of the rates of such energy transfers is the heat transfer. The transfer of heat is always from the higher-temperature surface to the lower-temperature one. 1.4. BASIC DEFINITIONS RELATED TO HEAT TRANSFER. a. CONDUCTION: Conduction transfers heat via direct molecular collision. An area of grater kinetic energy will transfer thermal energy to an area with lower kinetic energy, higherspeedparticleswill collide with slower speed particles. The slower speed particles will increase the KE. Conduction is the most common form of heat transfer via physical contact. b. CONVECTION:- The process of heat convection is due to the capacity of moving matter to carry heat energy. The transfer of heat by convection takes place between a solid surface and the adjacent liquid or gaslayer that is in motion. In case thefluid is at rest then the transfer of heat between the solid surface and the adjacent layer of fluid is purely by convection. Real World flow problems Mathematical Model (GE + BCs +IC) Discrete Equations (algebraic eq) Decoupled /Coupled Solution of algebraic equations Post Processing and Data analysis, flow visualization Problem Statement & Original work plan Conclusion
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1093 TYPE’S OF CONVECTION:- i. Natural convection:- In case the fluid moves due to density difference caused by the heat transfer between solid surface and fluid it is said to be by natural convection. It is also called as free convection. ii. Forced convection:- If the fluid motion is imparted by external means like pump, fan, compressor, slope etc. the convection is called forced convection. Fig.1.2. Types of convection c. RADIATION:- Thermal radiation is defined as the transfer of heat due to electromagnetic waves without requiring any medium. Fig.1.3. Three modes of heat transfer 1.5. STUDY OF THERMAL CONDUCTIVITYANDTHERMAL CONDUCTIVITY OF DIFFERENT MATERIALS. a. THERMAL CONDUCTIVITY: - Thermal conductivity is the ability of material to conduct heat through it. It can also be defined as the amount of heat flow per unit area normal to the direction of heat flow through unit thickness of the material per unit temperature difference. b. THERMAL CONDUCTIVITYOFDIFFERENTMATERIALS. Material Thermal conductivity k (W/mk) Silver 417 Copper 386 Aluminium 202 Magnesium 171 Tungston 166 Zinc 112 Brass 108 Table 1.1. Thermal conductivity of various materials. 1.5.1 STUDY OF EFFECTOFVARIATIONOFTEMPRATURE ON THERMAL CONDUCTIVITY. The heat conduction in solids is both by transport of free electrons and lattice vibrations. When temp of metal increases, the lattice vibration impede the motion of free electrons. Due to this the thermal conductivity ofmostofthe pure metals decreases with increase in temperature. Fig.1.4. variation of thermal conductivity of metals with temperature 1.6. CONCLUSION We are studied the computational fluid dynamics and different enhancement technique of heat transfer ,mode of heat transfer and thermal conductivity and its effect with respect to change in temperature of different material. REFERENCES 1) Yunus A. Cengel, “Heat and Mass Transfer – A Practical Approach”.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1094 2) Xiaohui Zhang and Dawei Liu “Optimum geometric arrangement of vertical rectangular fin arrays in natural convection” (2010). 3) S.A.Nada, “Natural convection heat transfer in horizontal and vertical closed narrow enclosures with heated rectangular finned base plate” (2006). 4) R.L.Edlabadkar, N.K. Sane, and G.V. Parishwad, “Computational Analysis of Natural Convection with Single V-Type Partition Plate” (2006). 5)M. J. Sable, S. J. Sable , P. S. Patil , P. R. Baviskar, and S.B. Barve ,“Enhancement of Natural Convection Heat Transfer on Vertical Heated Plate by Multiple V-Fin Array” (2010). 6) S.H. Barhatte, M.R. Chopade and V.N. Kapatkar, “Experimental and ComputationalAnalysisandOptimization for Heat Transfer through Fins with Different Types of Notch” “Heat Transfer in Natural Convection in Two Vertical and One Horizontal Plate – An Overview” by Mahendra P. Nimkar. BIOGRAPHIES Abhijit A. Rajole, SND COE Yeola, Pune University, Department of Mechanical Engineering. Kailas C. Pardeshi, SND COE Yeola, Pune University, Department of Mechanical Engineering. Firoj J. Pathan, SND COE Yeola, Pune University, Department of Mechanical Engineering. Navnath B. Khokale, SND COE Yeola, Pune University, Department of Mechanical Engineering. Prof. Manoj D. Ganage, SND COE Yeola, Pune University, Department of Mechanical Engineering. Prof. Shashikant N. Dughad,SNDCOE Yeola, Pune University, Department of Mechanical Engineering.