HEAT PROCESSES - PowerPoint PPT Presentation

About This Presentation
Title:

HEAT PROCESSES

Description:

HEAT PROCESSES HP4 Heat transfer Mechanisms of heat transfer. Conduction, convection (heat transfer coefficients), radiation (example: cooling cabinet). – PowerPoint PPT presentation

Number of Views:258
Avg rating:3.0/5.0
Slides: 34
Provided by: 90309
Category:

less

Transcript and Presenter's Notes

Title: HEAT PROCESSES


1
HEAT PROCESSES
HP4
Heat transfer
Mechanisms of heat transfer. Conduction,
convection (heat transfer coefficients),
radiation (example cooling cabinet). Fouriers
law of conduction, thermal resistance (composed
wall, cylinder). Unsteady heat transfer,
penetration depth (derivation, small experiment
with gas lighter and copper wire). Biot number
(example boiling potatoes). Convective heat
transfer, heat transfer coefficient and thickness
of thermal boundary layer. Heat transfer in a
circular pipe at laminar flow (derivation
Leveque). Criteria Nu, Re, Pr, Pe, Gz. Heat
transfer in turbulent flow, Moodys diagram.
Effects of variable properties (Sieder Tate
correction for temperature dependent viscosity,
mixed and natural convection).
Rudolf Žitný, Ústav procesní a zpracovatelské
techniky CVUT FS 2010
2
Mechanisms of heat transfer
HP4
  • There exist 3 basic mechanisms of heat transfer
    between different bodies (or inside a continuous
    body)
  • Conduction in solids or stagnant fluids
  • Convection inside moving fluids, but first of all
    we shall discuss heat transfer from flowing fluid
    to a solid wall
  • Radiation (electromagnetric waves) the only
    mechanism of energy transfer in an empty space
  • Aim of analysis is to find out relationships
    between heat flows (heat fluxes) and driving
    forces (temperature differences)

3
Heat flux and conduction
HP4
General form of transport Fourier equation for
temperature field T(t,x,y,z) in a solid or in a
stagnant fluid taking into account internal heat
sources and an adiabatic temperature increase
during compression of gas.
Benton
4
Heat flux and conduction
HP4
Energy balance of a closed system dq du dw
(heat delivered to system equals internal energy
increase plus mechanical work done by system)
tells nothing about intensity of heat transfer at
the surface of system, neither about
relationships between heat fluxes and driving
forces (temperature gradients). This problem is a
subject of irreversible thermodynamics.
Intenzity of heat transfer through element dA of
boundary is characterized by vector of heat flux
W/m2
Direction and magnitude of heat flux is
determined by gradient of temperature and thermal
conductivity of media ?
Fouriers law of heat conduction
Heat flow through boundary is projection of heat
flux to the outer normal
5
Thermal conductivity ?
HP4
Thermal and electrical conductivities are
similar they are large for metals (electron
conductivity) and small for organic materials.
Temperature diffusivity a is closely related with
the thermal conductivity Memorize some typical
values
Material ? W/(m.K) a m2/s
Aluminium Al 200 80E-6
Carbon steel 50 14E-6
Stainless steel 15 4E-6
Glas 0.8 0.35E-6
Water 0.6 0.14E-6
Polyethylen 0.4 0.16E-6
Air 0.025 20E-6
Thermal conductivity of nonmetals and gases
increases with temperature (by about 10 at
heating by 100K), at liquids and metals ? usually
decreases.
6
Conduction Fourier equation
HP4
Distribution of temperatures and heat fluxes in a
solid can be expressed in differential form,
based upon enthalpy balancing of infinitesimal
volume dv


Integrating this differential equation in a
finite volume V the integral enthalpy balance can
be expressed in the following form using Gauss
theorem
Accumulation of enthalpy in unit control volume
Divergence of heat fluxes (positive if heat flows
out from the control volume at the point x,y,z)
Heat transferred through the whole surface S
Accumulation of enthalpy in volume V
7
Conduction Fourier equation
HP4
Heat flux q as well as the enthalpy h can be
expressed in terms of temperatures, giving
partial differential equation Fourier equation



Internal heat source (e.g. enthalpy change of a
chemical reaction or a volumetric heat produced
by passing electric current or absorbed
microwaves)
Thermal conductivity ? need not be a constant. It
usually depends on temperature, and for
anisotropic materials (e.g. wood) it depends also
on directions x,y,z in this case ?ij should be
considered as the second order tensor.
8
Conduction - stationary
HP4
Let us consider special case Solid homogeneous
body (constant thermal conductivity and without
internal heat sources). Fourier equation for
steady state reduces to the Laplace equation for
T(x,y,z) Boundary conditions at each
point of surface must be prescribed either
temperature T or the heat flux (for example q0
at an insulated surface). Solution of T(x,y,z)
can be found for simple geometries in an
analytical form (see next slide) or numerically
(using finite difference method, finite
element,) for more complicated geometry.
The same equation written in cylindrical and
spherical coordinate system (assuming axial
symmetry)
9
Example temperature profile in a cylinder
HP4
Calculate radial temperature profile in a
cylinder and sphere (fixed temperatures T1 T2 at
inner and outer surface)
R1
R2
cylinder
Sphere (bubble)
10
Conduction thermal resistance
HP4
Knowing temperature field and thermal
conductivity ? it is possible to calculate heat
fluxes and total thermal power Q transferred
between two surfaces with different (but
constant) temperatures T1 a T2
RT K/W thermal resistance
In this way it is possible to express thermal
resistance of windows, walls, heat transfer
surfaces
Serial Parallel
Tube wall Pipe burried under surface
11
Conduction - nonstacionary
HP4
Time development of temperature field T(t,x,y,z)
in a homogeneous solid body without internal heat
sources is described by Fourier equation with
the boundary conditions of the same kind as in
the steady state case and with initial conditions
(temperature distribution at time t0). This
solution T(t,x,y,z) can be expressed for simple
geometries in an analytical form (heating brick,
plate, cylinder, sphere) or numerically.
The coefficient of temperature diffusivity
a?/?cp is the ratio of temperature conductivity
and thermal inertia
12
Theory of penetration depth
HP4
Development of temperature profile in a
half-space. Use the acceptable approximation by
linear temperature profile
Integrate Fourier equations (up to this step it
is accurate)
Approximate temperature profile by line
Result is ODE for thickness ? as a function of
time
Using the exact temperature profile predicted by
erf-function, the penetration depth slightly
differs ??(?at)
13
Theory of penetration depth
HP4
???at penetration depth. Extremely simple and
important result, it gives us prediction how far
the temperature change penetrates at the time t.
This estimate enables prediction of thermal and
momentum boundary layers thickness etc. The same
formula can be used for calculation of
penetration depth in diffusion, replacing
temperature diffusivity a by diffusion
coefficient DA .
Wire Cu ?0.11 m ?398 W/m/K ?8930 kg/m3 Cp386
J/kg/K
14
Convection
HP4
General form of transport Fourier Kirchhoff
equation
Benton
15
Convection
HP4
Calculation of heat flux q from flowing fluid to
a solid surface requires calculation of
temperature profile in the vicinity of surface
(for example temperature gradients in attached
bubbles during boiling, all details of thermal
boundary layer,). Engineering approach
simplifies the problem by introducing the idea of
stagnant homogeneous layer of fluid, having an
equivalent thermal resistance (characterized by
the heat transfer coefficient ? W/(m2K))
Tf is temperature of fluid far from surface
(behind the boundary of thermal boundary layer),
Tw is wall temperature. Thickness of stagnant
boundary layer d, ?f thermal conductivity of
fluid.
Tf
Tf
?
16
Example heating sphere
HP4
It is correct only as soon as the heat flux q or
the temperature is uniform on the sphere surface
Temperature distribution inside a solid sphere
Boundary condition (convection)
Heat flux calculated from Fourier law inside the
sphere equals the flux in fluid
Fourier equation can be integrated at the volume
of body (sphere in this case)
The integrals can be evaluated by the mean value
and by Gauss theorem, assuming uniform flux at
the surface
17
Example heating sphere
HP4
For the case that the temperature inside the
sphere is uniform (as soon as the thermal
conductivity ?s is very high) the mean
temperature is identical with the surface
temperature
This exponential solution works only for small
values of Biot number Thermal resistance of
fluid gtgt thermal resistance of solid
18
Convection Nu,Re,Pr
HP4
Heat transfer coefficient ? depends upon the flow
velocity (u), thermodynamic parameters of fluid
(?) and geometry (for example diameter of sphere
or pipe D). Value ? is calculated from
engineering correlation using dimensionless
criteria Nusselt number (dimensionless ?,
reciprocal thickness of boundary
layer) Reynolds number (dimensionless
velocity, ratio of intertial and viscous
forces) Prandl number (property of fluid,
ratio of viscosity and temperature diffusivity)
Rem ? is dynamic viscosity Pa.s, ? kinematic
viscosity m2/s, ??/?
And others PeRe.Pr Péclet number GzPe.D/L Gra
etz number (D-diameter, L-length of
pipe) Rayleigh DeRevD/Dc Dean number (coiled
tube, Dc diameter of curvature)
19
Convection in a pipe
HP4
Basic problem for heat transfer at internal
flows pipe (developed velocity profile) and a
constant wall temperature
Liquid flows in a pipe with the constant wall
temperature Tw that is different than the inlet
temperature T0. Temperature profile depends upon
distance from inlet and upon radius r (only thin
temperature boundary layer of fluid is heated).
Heat flux varies along the pipe even if the heat
transfer coefficient ? is constant, because
driving potential temperature difference
between wall and the bulk temperature Tm depends
upon the distance x. Tm is the so called mean
calorific temperature
Heat flux from wall to bulk (? is related to the
calorific temperature as a characteristic fluid
temperature at internal flows)
20
Convection in a pipe
HP4
Axial temperature profile Tm(x) follows from the
enthalpy balance of system, consisting of a short
element of pipe dx
Solution Tm(x) by integration
21
Convection in a pipe
HP4
  • Previous integration is correct only if ? and the
    wall temperature are constant.
  • This doesnt hold in laminar flow characterized
    by gradual development of thermal boundary layer
    (at entry this layer is thin and therefore ??/?
    is high, ? decreases with increasing distance).
    Typical correlations for laminar flow
  • ? is almost constant at turbulent flows
    characterized by fast development of thermal
    boundary layer. Typical correlation (Dittus
    Boelter)
  • More complicated are cases with mixed convection
    (effect of temperature dependent density and
    gravity), variable viscosity and first of all
    influence of phase changes (boiling/condensation).

Leveque
Haussen
general formula for variable wall temperature
and variable heat transfer coefficient
Q
Tw
T0
D
Toutlet
L
22
Convection Laminar Leveque
HP4
Leveque method is very important technique how to
estimate thickness of thermal boundary layer and
the heat transfer coefficient ? in many internal
flows (not only in circular pipes). This theory
is applicable only for short channels, in the
region of developing temperature profile.
velocity at bouindary layer
time of penetration
Graetz number GzRe.Pr.D/L
23
Mixed convection, Sieder Tate
HP4
  • Temperature dependendent properties of fluid are
    respected by correction coefficients applied to a
    basic formula (Leveque, Hausen, similar
    corrections are applied in correlations for
    turbulent regime)
  • Temperature dependent viscosity results in
    changes of velocity profiles. In case of heating
    the wall temperature is greater than the bulk
    temperature, and viscosity of liquid at wall
    lowers. Velocity gradient at wall increases thus
    increasing heat transfer (look at the derivation
    of Leveque formula modified for nonnewtonian
    velocity profiles). Reversaly, in case of cooling
    (greater viscosity at wall) heat transfer
    coefficient is reduced. This effect is usually
    modeled by Sieder Tate correction (ratio of
    viscosities at bulk and wall temperature).
  • Temperature dependent density combined with
    acceleration (gravity) generate buoyancy driven
    secondary flows. Resulting effect depends upon
    orientation (vertical or horizontal pipes should
    be distinguished). Intensity of natural
    convection (buoyancy) is characterized by
    Grashoff number Gr)

Mixed convection (Grashoff)
Sieder Tate correction
Leveque
24
Convection Turbulent flow
HP4
Boccioni
25
Convection Turbulent flow
HP4
  • Turbulent flow is characterised by the energy
    transport by turbulent eddies which is more
    intensive than the molecular transport in laminar
    flows. Heat transfer coefficient and the Nusselt
    number is greater in turbulent flows. Basic
    differences between laminar and turbulent flows
    are
  • Nu is proportional to in laminar flow,
    and in turbulent flow.
  • Nu doesnt depend upon the length of pipe in
    turbulent flows significantly (unlike the case of
    laminar flows characterized by rapid decrease of
    Nu with the length L)
  • Nu doesnt depend upon the shape of cross section
    in the turbulent flow regime (it is possible to
    use the same correlations for eliptical,
    rectangularcross sections using the concept of
    equivalent diameter this cannot be done in
    laminar flows)

The simplest correlation for hydraulically smooth
pipe designed by Dittus Boelter is frequently
used (and should be memorized)
m0.4 for heating m0.3 for cooling
Similar result follows from the Colburn analogy
26
Pressure drop, friction factor
HP4
Pressure drop is calculated from Darcy Weissbach
equation
Friction factor ?f depends upon Re and relative
roughness
27
Turbulent boundary layer
HP4
Rougness of wall has an effect upon the pressure
drop and heat transfer only if the height of
irregularities e (roughness) enters into the so
called buffer layer of turbulent flow. Smaller
roughness hidden inside the laminar (viscous)
sublayer has no effect and the pipe can be
considered as a perfectly smooth.
y
Dimensionless distance from wall
Friction velocity
Thickness of laminar sublayer is at value y5
28
Example smooth pipe
HP4
Calculate maximum roughness at which the pipe
D0.1 m can be considered as smooth at flow
velocity of water u1 m/s.
Blasius correlation for friction factor (smooth
pipes)
Thickness of laminar sublayer (y5)
29
HP4
30
EXAM
HP4
Heat transfer (Fourier Kirchhoff transport
equation explained in more details in the course
Momentum Heat and Mass transfer)
31
What is important (at least for exam)
HP4
Dimensionless criteria Nusselt Biot Fourier Reynol
ds Prandtl Peclet Graetz Rayleigh
reciprocal thermal boundary layer
thermal resistance in solid / thermal resistance
in fluid
dimensionless time related to the penetration
time through distance D
ratio of inertial and viscous forces
ratio of momentum and temperature diffusivities
32
What is important (at least for exam)
HP4
Conduction - temperature field in solids
Steady heat transfer
Thermal resistance RT
Unsteady heat transfer (wave of thermal
disturbance)
Penetration depth (distance travelled by
temperature disturbance in time t)
33
What is important (at least for exam)
HP4
Convection heat transfer from fluid to solid
(?-heat transf.coef.)
Forced heat transfer in a pipe Laminar
flow (Leveque) Turbulent flow (Dittus
Boelter)
Pressure drop in pipes, effect of roughness and
Moody diagram
Write a Comment
User Comments (0)
About PowerShow.com