Date post: | 14-Nov-2014 |
Category: |
Documents |
Upload: | api-3819931 |
View: | 4 times |
Download: | 0 times |
NUMERICAL SIMULATION OF HEAT TRANSFER IN
CONCENTRIC CYLINDERS WITH AND WITHOUT FINS
A PROJECT REPORT
Submitted to
Jawaharlal Nehru Technological University Hyderabad
In partial fulfillment of the requirements for the award of B-Tech degree in
MECHANICAL ENGINEERING BY
K.KAUSHIK RAO (02E51A0311) K.RAJI REDDY (02E51A0326)P.SUNDEEP VARMA (02E51A0335)
Under the guidance of
M.GOPI KRISHNA, M.TECH
Asst. Prof. MECHANICAL Dept.
DEPARTMENT OF MECHANICAL ENGINEERINGROYAL COLLEGE OF ENGINEERING
(First among ISO 9001:2001 certified JNTU Colleges) MEDAK, A.P. 2005 - 2006.
DEPARTMENT
OF
MECHANICAL ENGINEERING
CERTIFICATE
This is to certify that the project work entitled
“NUMERICAL SIMULATION OF HEAT TRANSFER
IN CONCENTRIC CYLINDERS WITH AND
WITHOUT FINS” is the result of work done by
K.KAUSHIK RAO (02E51A0311)
K.RAJI REDDY (02E51A0326)
P.SUNDEEP VARMA (02E51A0335)
This has been submitted as partial fulfillment for the
award of BACHELOR’S DEGREE in Mechanical
Engineering from the JNTU for the academic year
2005-2006
Principal Head of the department Internal Guide
Mr.N.MALLAPARAJU A.SHIVA RAMAKRISHNA M.GOPI KRISHNA
ACKNOWLEDGEMENT
A project work of this magnitude is not possible
without the help of several people directly or indirectly. It is with
immense satisfaction that we present our practical experience in
the form of a project report we carried out in Cusp Technologies
Pvt Ltd.
We are grateful to Mr.N.MALLAPARAJU C.E,
M.TECH, MISTE, and DIP.T.T Principal of RCEM for giving us
the permission to carry out our project work at Cusp Technologies
Pvt Ltd.
We take this opportunity to thank Sri.M.GOPI
KRISHNA, Asst. Professor of Mechanical Engineering for his
encouragement he had given us throughout the project work.
We wish to express our sincere and profound
gratitude to Sri.KRISHNA MOHAN, Cusp Technologies Pvt Ltd.
for his valuable guidance, which helped us to complete the project
work successfully.
ABSTRACT
Natural convection in concentric annuli has been the
subject of interest in many researchers due to its various
applications in engineering devices. Application areas include
the energy conversion systems found in some designs of nuclear
reactors, concentrating solar collections and thermal energy
storage devices. We consider two-dimensional steady state
natural convection heat transfer in a horizontal annular gap
between two concentric cylinders in witch the inner cylinder is
hotter than the outer one
This project relates to the numerical simulation of
natural convection heat transfer by solving governing equations
for primitive variables pressure, velocities and temperature.
The objective of this project is to further investigate,
numerically, the effect of internal fins on the flow patterns, the
temperature distribution and the heat transfer between
concentric horizontal cylinders.
Fins are employed to increase the heat transfer area, leading to
an increase in the heat transfer between the cylinders. However,
the presence of internal fins alters the flow patterns, temperature
distribution and Nusselt number of the configuration when
buoyancy effects are not negligible.
INTRODUCTION TO CONVECTION: -
CONVECTION: - It is the mechanism by which the
thermal energy is transferred between a solid surface and a fluid
moving over that surface.
Types of Convection:
Natural Convection.
Forced Convection.
Natural Convection:-It
is the type of Convection, which is caused by the density
differences, which is caused by temperature gradient.
Forced Convection:-It
is the type of Convection, which is caused by some external
agency such as pumps, blowers etc.
Incompressible Flow: -
When Density () is function of Temperature (T) and it is
independent of Pressure (P), then flow is said to be
Incompressible flow.
Compressible Flow: -
When Density () is the function of both Temperature (T) and
Pressure (P), and then flow is said to be compressible flow.
INTRODUCTION TO FINS: -
FINS: -Fins are extended surfaces, which are used to increase
the heat transfer rate from one surface to another surface.
Note: -Most of the fins doesn’t affect the fluid flow around it.
PURPOSE OF FINS IN OUR PROJECT: -
Most of the fins remove
the heat from the source by means of conduction and the fluid
surrounding the fin removes the heat by convection.
In this case the fin is
maintained at constant temperature so there is no conduction
heat transfer take place.
The purpose of the fins
is to increase the heat transfer by convection. The purpose of the
fin is to mainly control the fluid matter.
The fin here is to limits
to increase heat transfer by increasing the heat transfer
coefficient (h), where ‘h’
h=,,,, l
Where = Density (kg/m),
=Coefficient of viscosity ()
Velocity (m/sec),
Thermal conductivity (w/m k),
l=length (m).
INTRODUCTION TO CFD: -
CFD stands for Computational Fluid Dynamics.
CFD was started in the early 1960’s but came into prominence
in 1980.The first major industries using CFD were started in
1990’s.
CFD is predicting what will happen, quantitatively, when
fluids flow, often with the complications of:
Simultaneous flow of heat,
Mass transfer (e.g. perspiration, dissolution),
Phase change (e.g. melting, freezing, boiling),
Chemical reaction (e.g. combustion, rusting),
It is concerned with obtaining numerical solution to fluid flow
problems. The basic difference between CFD and other
conventional methods is that in CFD computers are used for
calculation part. The advent of high-speed and large-memory
computers has enabled CFD to obtain solution to many flow
problems including those that are compressible and
incompressible, laminar or turbulent, chemically reacting or
non-reacting.
CFD is the art of replacing the differential equation governing
the Fluid Flow, with a set of algebraic equations (the process is
called discretization), which in turn can be solved with the aid
of a digital computer to get an approximate solution.
Governing equation solved in CFD
Navier stokes equation
[uu/x) + v (u/y)] = p/x) + u (Uxx + Uyy)
Navier Stokes in X direction.
[uv/x) + v (v/y)] = p/y) + u (Vxx + Vyy)
Navier Stokes in Y direction.
Continuity equation
(ux) + (vy) =0.
Momentum equation
U (x) + V (y) = (Cp) + [xx + yy].
PROCEDURE FOLLOWED IN CFD: -
Solving a particular problem generally involves first discretizing
the physical domain that the flow occurs in, such as the interior
of turbine engine or the radiator system of a car. This
discretization is straightforward for very simple geometries such
as rectangles or circles, but is a difficult problem in CAD for
more complicated objects. Currently automatic “mesh
generators” are simply not adequate, requiring extensive
investment of time on the part of the scientist or engineer. This
leads to problems in human-computer interfaces (HCI) and
CASE tools, as well as fundamental problems in graph theory
since the resulting discretization gives a mesh.
On the discretized mesh the Navier-Stokes equations take
the form of a large system of nonlinear equations; going from
the continuum to the discrete set of equations is a problem that
combines both physics and numerical analysis; for example, it is
important to maintain conservation of mass in the discrete
equations. At each node in the mesh, between 3 and 20 variables
are associated: the pressure, the three velocity components,
density, temperature, etc.
OBJECTIVES OF CFD: -
1. To describe the basic features of computer-based numerical
methods for predicting fluid flows, heat and mass transfer,
which falls under the collective name of Computational Fluid
Dynamics (CFD).
2. To use the methods to perform computer simulations of a
range of thermo fluids problems as an aid to understanding.
3. To gain experience of the use of CFD codes as design tools.
APPLICATIONS OF CFD: -
A. Industrial
1. Aerospace: Aerodynamics
Gas Turbines Rocket
2. Automotive Aerodynamics Engines Turbocharger Intake/Exhaust Heating/Cooling Systems 3. Mechanical
Pumps, compressors Heat exchangers Furnaces Nuclear reactors
4. Chemical
Mixers (multiphase) Chemical reactors Separators Boilers, condensers
5. OthersGlass, steel and textile manufacturing: ship building, food processing, etc.
B. Environmental and Safety
Weather prediction River and tidal flows Wind- and water-borne pollution Fire and smoke spread
Wind loading
C. Physiological
Cardiovascular flows (heart, major vessels)
Flow in lungs and breathing passages
CFD-based predictions are never 100%-reliable, because:
The input data may involve too much guess-work or imprecision;
The scientific knowledge base may be inadequate.
The reliability is greater:
For laminar flows rather than turbulent ones For single-phase flows rather than multi-phase
flows;
For chemically-inert rather than chemically-reactive materials;
For single chemical reactions rather than multiple ones;
For simple fluids rather than those of complex composition.
PROBLEM STATAMENT: -
In this project heat
transfer and fluid flow characteristics are studied numerically in
a concentric cylinders with and with out internal fins at different
Rayleigh numbers and at different orientations.
The Rayleigh numbers
considered in this analysis are
10^3 to 10^6.
WITH OUT FINS: -
WITH FIN (0.25)
WITH FIN (0.50)
WITH FIN (0.75)
ASSUMPTIONS MADE IN THE ANALYSIS : -
The flow is 2-
dimensional (i.e. T=x, y).
The flow is steady (i.e.
time =constant).
The flow is
incompressible (i.e.=(T)).
The flow is laminar
(Reynolds num b/w 2000 to 4000).
The working fluid
considered is ‘Air’.
Boussinesque
approximation: - The variation of density in the convective term
is negligible and it is the function of temperature in the body
force term.
This assumption is valid when temperature difference is below
15%.
U/t + U (U/x) + V (U/y) + (U/z)) =
-P/x + (Uxx+Uyy) + f (x).
The fin is maintained
isothermally.
NUMERICAL APPROACH: -
The basic equations of
fluid flow are solved numerically by using Finite Volume
Method.
INTRODUCTION TO FINITE VOLUME METHOD: -
Divide the domain into
sub domain called Control Volume; each Control Volume will
have a point at which the variable is valuated as grid point. The
Control Volume should not overlap each other.
Integrate governing
equations over the Control Volume.
Approximate the
Integrals by using Piece Wise Linear profile.
Apply the discretisation
equations at all other Control Volumes.
Apply boundary
conditions.
Solve the system of
linear equations.
Note: -
Control Volume: - It is
an imaginary volume in the domain through which fluid flows.
BOUNDARY CONDITION FOR THE PROBLEM: -
PROBLEM PROCEDURE:-
Create the geometry in
the Gambit.
Mesh the geometry in
the Gambit.
Meshing of the geometry is done in order to divide the
geometry into control volumes, so that the required
parameters can be analyzed easily.
Specify boundary types
in Gambit.
In this we divide the geometry into different zones to
specify boundary conditions.
Export the geometry into
Fluent.
After initializing the boundary conditions the geometry is
exported to fluent software.
Solving and analyzing
the results.
In this the governing equations are solved and results are
analyzed.
CONTOURS OF NON-DIMENSIONAL TEMPERATURES:
FOR RAYLEIGHS NUMBER 10^3
WITHOUT FIN
WITHFIN 0.25
WITHFIN 0.50
WITHFIN 0.75
FOR RAYLEIGHS NUMBER 10^4
WITHOUT FIN
WITHFIN 0.25
WITHFIN 0.50
WITHFIN 0.75
FOR RAYLEIGHS NUMBER 10^5
WITH OUT FIN
WITH FIN 0.25
WITHFIN 0.50
WITH FIN 0.75
FOR RAYLEIGHS NUMBER 10^6
WITHOUT FIN
WITH FIN 0.25
WITHFIN 0.50
WITHFIN 0.75
CONTOURS OF STREAM FUNCTION DISTRIBUTION
FOR RAYLEIGHS NUMBER 10^3
WITHOUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
FOR RAYLEIGHS NUMBER 10^4
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN .75
FOR RAYLEIGHS NUMBER 10^5
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
FOR RAYLEIGHS NUMBER 10^6
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
CONTOURS OF NUSSELT NUMBER
FOR RAYLIEGHS NUMBER 10^3
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
FOR RAYLIEGHS NUMBER 10^4
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
FOR RAYLIEGHS NUMBER 10^5
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
FOR RAYLIEGHS NUMBER 10^6
WITH OUT FIN
WITH FIN 0.25
WITH FIN 0.50
WITH FIN 0.75
CONCLUSION: -
We have computed results associated with the problem of
internal fin flow between concentric cylinders. Cylinders with
0.75 fin length presents a heat transfer rate of 10% higher than
cylinders with out fin. The divergent fin generates a more
complex flow than the other ones and is related to the fin
geometry. The Nusselt number is proportional to Ra and the fin
length. Moreover, the increase the in fin Nusselt number with
Rayleigh number is increased as the fin size increases.
SCOPE: -
Till now analysis is conducted for
Two dimensional flows
Laminar flows.
Single phase flows.
Non-reactive flows.
In future there is a scope to analysis for
Three dimensional flows
Turbulence flows.
Multi phase flows.
Reactive flows.
BIBILOGRAPHY: -
RC Sachdeva: Heat and Mass transfer.
Chai JM, Patnakar SV: Laminar Natural convection in internally finned horizontal annuli.
Ho CJ, Lin YH, Chen TC: A numerical study of natural convection in concentric cylinders with fixed boundary conditions.