materials selection for optimal design of a porous radiant burner for environmentally driven...
TRANSCRIPT
CO
DOI: 10.1002/adem.200900089MM
UNI
Materials Selection for Optimal Design of a Porous RadiantBurner for Environmentally Driven Requirements**
CATIO
By Jaona Randrianalisoa*, Yves Brechet and Dominique Baillis[*] Dr. J. Randrianalisoa, Prof. D. BaillisCETHIL, UMR5008, CNRS, INSA-Lyon Universite Lyon1,F-69621 Villeurbanne, FranceE-mail: [email protected]
Prof. Y. BrechetSIMAP, CNRS, Grenoble INP, Univesrite Joseph FourierF-38402, Saint Martin d’Heres, France
[**] This work was supported by the Rhone-Alpes Region Energycluster. The authors are grateful to the French PetroleumInstitute (IFP) of Solaize for initiating this work and to S.Gauthier, E. Lebas, J. Rosler, and A. Nicolle for their helpfuldiscussions.
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Radiant porous burners are promising technological
solutions to provide radiative and uniform heating without
gas convection, possible directional heat flux, and efficient
combustion of the gas. In addition, the efficiency of
combustion allows fulfilling requirements on pollution
(NOx, CO, etc.).[1,2]
In order to produce such burners, materials issues are a key
problem. Some of the requirements are straightforward to
identify, such as operating at high temperature (around
1000–1500 K), in a chemically aggressive environment. Some
other requirements on materials are more convoluted: the
operating conditions of the burner (such as the flame position
and the heat generated) are the keys to optimize the irradiated
power, and are also related to the materials used in its
fabrication. These operating conditions are function of
the radiative and thermophysical properties of the constitu-
tive material, on the permeability of the porous component.
The materials used also have a variety of degrees of freedom:
they are porous which means that both the constitutive
materials and the inner architecture are variables that can be
used to optimize the burner.
The current study focuses on open cell foam materials. As
such the optimization of materials for radiant porous burners
can be seen as a paradigm of a ‘‘materials by design’’
approach[3] which requires a rather advanced modeling of the
fluid flow, heat generation from chemical reactions, and
coupled heat transfer (radiation, convection, and conduction
transfer) inside the burner.
In Basic Physical Phenomena Section, we will present the
governing equations for the thermophysical problem, which
will enter the modeling. This will allow us to identify the
relevant materials properties. In Preselection Section, the
detailed set of requirements in terms of constraints and
objectives will be outlined. The Optimal Choice Section will
propose a first material selection in terms of screening via the
structure of the material (open porosity), the operating
temperature, and the oxidation environment. In Conclusion,
this preselection will serve as a basis in which an optimization
procedure will be proposed both for emitting radiative power
and for pollution control.
Basic Physical Phenomena
The basic idea of a porous burner is to perform the
combustion of a premixed gas (combustible and air) inside a
porous support (see Fig. 1).[4] The burner can be conveniently
subdivided into three parts, namely the entrance zone, the
porous combustion support, and the oxit zone. First, the gas
combustible is injected in the porous support from the
upstream (or entrance) zone while the burner ignition is
performed at the porous support boundary in downstream (or
exit) zone. As a consequence, the flame propagates from the
exit zone to the entrance zone. During the combustion, a part
of the energy of chemical reactions is transferred to the porous
support by convection heat transfer mode. Amount of this
thermal energy propagates through the porous support by
conduction and radiation. Thus, the porous support heats the
combustible gas while limiting the excess of temperature
reaching by the combustion through the thermal dissipation.
The thermal energy of the porous support is transferred to the
surrounding medium by convection at the boundaries of the
porous support and by radiative emission. It can be noted
that through this combustion mode, the heat produced by
radiative emission is much significant than that transferred to
the outside medium by convection.
To model the porous burner, a one-dimensional config-
uration (illustrated in the Fig. 2) is considered. From bottom to
top are the upstream or entrance zone, porous support, and
the exit or downstream zone. In addition, it is assumed that:
(1) T
rlag
he flow entering the porous zone is assumed perfectly
mixed and has a uniform velocity.
(2) T
he flow is a plug flow and the combustion front is onedimensional. Neither turbulence nor stretch is induced by
the flow through the foam. The thickness of the foam is
much smaller than its diameter, thus, the heat and gas
losses from the edges can be neglected.
(3) T
he foam is sufficiently porous and the flow velocity issufficiently low that the process is isobaric.
(4) T
he porous medium emits, absorbs, and scatters thermalradiation as a gray homogeneous medium, and gaseous
radiation is negligible compared to the solid radiation.
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Fig. 1. Photography of a porous burner. The porous piece is turned red by the heatresulting from combustion.
Fig. 2. One-dimensional porous burner configuration.
(5) N
105
o catalytic effect is induced by the solid. Thermal equi-
librium between the gas phase and the solid phasewas not
imposed; heat exchange between them is calculated using
a volumetric heat transfer coefficient.
Note that in this model the position of the combustion front
was not fixed but results from the equilibrium between the
flame speed and the in-flux velocity.
The numerical model of the burner accounts for the heat
transfer (by conduction, convection, and radiation), the mass
transfer (by convection and diffusion), and the combustion. As
a consequence, the governing equations, in absence of
catalytic reactions, are constituted of the following:[5,6]
An Energy Equation in the Solid Phase
The enthalpy balance in the solid phase having tempera-
ture Ts at the abscise x can be written as[7]
ð1� fÞrsCps@Ts
@t¼ @
@xls
@Ts
@x
� �� hðTs � TgÞ �
@qr
@x(1)
with f porosity, rs Cps the volumetric specific heat of the
constitutive material, Tg the gas phase temperature at the
abscise x. The terms in the right-hand side of Equation 1
correspond to the heat exchanges by conduction (with an
effective thermal conductivity ls), convection between gas and
solid (with exchange coefficient h), and radiation (with a
radiation flux qr). In the gray medium approximation, the
0 http://www.aem-journal.com � 2009 WILEY-VCH Verlag GmbH & C
divergence of the radiation flux in Equation 1 can be expressed
as[7]
@qr
@x¼ sa 4pI0ðx;TsÞ � 2p
Zþ1
�1
Iðx;mÞ dm
24
35 (2)
The right-hand side of Equation 2 corresponds to the
difference between the radiation power emitted per volume
unit at temperature Ts and the radiation power per unit
volume coming from all directions. sa is the absorption
coefficient of the porous material, I(x,m) is the radiation
intensity at the spatial coordinate x (along the sample
thickness) and propagating along the direction of cosine m
with respect to the x axis. I0(x,Ts) is the equilibrium intensity at
abscise x and temperature Ts.[7]
The Radiative Transfer Equation
The determination of I(x,m) requires solving the radiative
transfer equation (RTE). Assuming that there is an azimuthal
symmetry around the x axis, the usual one-dimensional RTE is
written as follows:[8]
m@Iðx;mÞ
@x¼ �ðss þ saÞIðx;mÞ þ saI
0ðxÞ
þ ss
2
Zþ1
�1
Iðx;m0ÞFðm0;mÞ dm0 (3)
The first term in the right-hand side of Equation 3
corresponds to the attenuation of the radiation due to
scattering (with scattering coefficient ss) and absorption while
remaining terms are, respectively, the radiation reinforcement
due to emission and incoming scattering (with a phase
function F(m0,m) denoting the transition probability from the
direction of cosine m0 to m).
Transport Equation of Chemical Species
The following equation written in terms of molar fraction X
models the transport of each species[6] and has to be solved
f@
@tðCXÞ þ f
@
@xðCXÞu
¼ f@
@xCD
@X
@x
� �þ f
@
@xC
DQ
Tg
@Tg
@x
� �þ f
Xnr (4)
with C the molar concentration of gas phase and m its molar
average velocity. Assuming a perfect gas of constant R and
pressure P, C is given by P/RTg. n and r are the Stoichiometric
coefficient and reaction rate of the considered reaction,
respectively. The sum is performed over all species.
In the right-hand side of Equation 4, the first term in
bracket corresponds to the diffusion of chemical species due to
concentration gradient (with a diffusion coefficient D); the
second term in bracket is the diffusion due to gradient
temperature known as Soret effect (with a thermal diffusion
factor Q). The last term accounts for the annihilation or the
creation of species during combustion.
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An Energy Equation in the Gas Phase
The enthalpy balance in the gas phase can be written as
follows:[6]
f@
@t
XðCXCpgTgÞ þ
@
@x
XðCXCpgTgÞu
¼ fX
D C@X
@xCpg
@Tg
@x
� �þ f
XDQ
Tg
CCpg
@2Tg
@x2
� �
þ f@
@xlg
@Tg
@x
� �� hðTg � TsÞ � f
XXnrHðTgÞ
(5)
with H(Tg) the enthalpy of species at temperature Tg and Cpgthe heat capacity of species. As in Equation 4, the sums are
performed over all species.
The first three terms in right-hand side of Equation 5
account for the enthalpy reinforcement due to (i) concentra-
tion gradient of species, (ii) thermal gradient, and (iii) thermal
conduction while the two last terms are the enthalpy
attenuation due to gas–solid convection exchange and
combustion, respectively.
Continuity Equation
According to the plug and isobaric flow assumptions, the
gas phase velocity can be calculated from the continuity
equation written, hereafter, in terms of molar concentration of
gas phase C [6]
f@
@tC þ f
@
@xCu ¼ f
X @
@xCD
@X
@x
� �
þ fX @
@xC
DQ
Tg
@Tg
@x
� �þ f
Xnr
(6)
The sums in Equation 6 are performed over chemical
species.
The Boundary conditions associated to Equations 1, 3–5 can
be found in ref. [5] However, it is interesting to note that these
boundary conditions are dependent on the properties of the
medium surrounding the burner (such as its emissivity
denoted by eout, and thermal conductivity lout) and the
properties of the porous material (such as the specific area
of pores, namely Sc, porosity f, and strut emissivity, namely
by es).There are three types of unknown parameters involved in
Equations 1–6 and in the boundary conditions. First, the
thermodynamic and transport properties of gases (Cpg,D,Q, r,
n, lg) are evaluated using the Chemkin and Transfit codes.[9,10]
Then, the surrounding medium is assumed as a blackbody at
room temperature, i.e., eout¼ 1, and the thermal conductivity
of air lout at ambient pressure is used. Finally, the functioning
of the burner imposes a gas flow, i.e., open porosity. The
effective material properties (ls, h, sa, ss, F, e, Sc) can
be obtained playing both of the constitutive material of which
the porous is made, and on the inner architecture of this
cellular solid. Therefore, in the strategy we have adopted here,
‘‘material by design,’’ we need to establish explicit relations
between constitutive materials and architecture, and the
macroscopic effective properties. Tables 1 and 2 summarize
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the effective properties involved in the above numerical
model (i.e., in Eqs. 1–6) and their relationship with the
constitutive material and architecture.[11–17]
The current numerical model is constituted of 36 coupled
equations (27 equations for species transport according to the
famous Mech 1 chemistry mechanisms;[18] 3 equations for
energy transfer and gas phase velocity (i.e., Eqs. 1, 5, and 6);
and 6 RTEs corresponding to 6 Gaussian angular discretiza-
tion[19] between 0 and p). They are partial differential equation
(PDE) type, so the Comsol[20] code based on the finite element
solver, especially appropriate for PDEs, is used.Moreover, the
Premix code is combinedwith the Comsol code to improve the
treatment of chemical phenomena. Due to the high number of
equations to be solved simultaneously, a solution strategy
needs to be adopted as detailed in ref. [5].
Set of Requirements
The first step in any material selection process is a clear
definition of the set of requirements.[3] In particular, it is
essential to distinguish between objectives (What has to be
minimized or maximized?) and constraints (the threshold
level which has to be fulfilled). It is also very important to have
a clear understanding on the variables on which the
optimization relies.
Constraints
The combustion support, i.e., the porous material, must
satisfy several requirements. It needs to resist high tempera-
ture, oxidative atmospheres, and thermal choc. It must be
cheap. Moreover, the radiant mode of the burner imposes that
the combustion front takes place inside the porous zone.
Objectives
An optimized burner is an excellent radiant heater and, at
the same time, produces low concentration of pollutants. For a
given in-flux, the porous support is chosen so that the emitted
radiation by the burner is maximal while the pollutant rates
are minimum, at least smaller than standard values. Finally, a
large functioning range in terms of in-flux is desired.
Free Variables
To design an optimal burner fulfilling the above con-
straints, one can play on a number of free variables. The
constitutive material of the porous burner is one of them. But
operating conditions such as in-flux and the gas composition
can also be optimized for maximum burner efficiency. In the
following paper, the operating conditions will be considered
as given and the optimization will be carried out on the
material choice.
Table 3 summarizes the set of requirements considered in
the current porous radiant burner optimization.
Preselection
In the above set of requirements, a first group of criteria can
be treated as a ‘‘filtering step.’’[21] For instance, gas must flow
inside the burner, and therefore porousmaterials are required.
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Table 3. Set of requirements.
Constraints Objectives Free variables
Materials: resisting at high temperature, in oxidative atmospheres, and to thermal choice. High radiation emission Architectural properties
Functioning: the flame front inside the porous zone. Low pollutant emission Constitutive materials
Wide range of in-flux
Table 1. Radiative properties of porous materials.
Properties Formula Assumptions and references
Scattering phase function, F(u)
Metallic-based materials 8
3pðsin u � u cos uÞ (7) A metallic strut absorbs or scatters radiation beam. The local reflection
is almost diffuse since the strut roughness and the radiation wavelengths
are comparable. Hence, the phase function of an opaque diffuse
particle prevails.[11]
Ceramic-based materials 1 (8) The radiation interaction with ceramic struts is still not well known.
In a first approximation, an isotropic scattering is usually adopted.[12,13]
Extinction coefficient, se¼ saþ ssMetallic-based materials
2:656
ffiffiffiffiffiffiffiffiffiffiffi1� f
p
dc
(9) Relation derived for foam materials with tetracaedecaedric elementary
cells.[14]
Ceramic-based materials2:656
ffiffiffiffiffiffiffiffiffiffiffi1� f
p
dc1� hmið Þ
(10) mh i is a correction accounting for the anisotropy of scattering.
Comparison of se from X-ray tomography image analysis and that
from spectrometric measurements considering isotropic scattering
(data from ref. [15]) shows that mh i is about 0.2 for Mullite and
Zirconia foams.
Scattering albedo v¼ ss/(saþ ss)
Metallic-based materials g (11) For opaque struts, the scattering albedo reduces to the strut
reflectivity g .[7]
Ceramic-based materials 0:7 forTs > 600K
0:3 forTs � 600K
(12) The values of 0.7 and 0.3 correspond to the scattering albedo of
Mullite or PSZ foams calculated by using the Planck mean[7] at
800 and 450 K, respectively.[16]
Emissivity, es 1 – v (13) Equation 13 is exact for opaque struts. For semitransparent struts, it
is assumed that most part of the radiation energy is either reflected
or absorbed by a strut.
Table 2. Conduction and convection properties, and specific area of porous materials.
Properties Formula Assumptions and references
Thermal conductivity, ls 13(1–f) lbulk (14) The ls value is either issued from literature or estimated from this relation using
the measured bulk conductivity lbulk in literature.
Convection coefficient, hlg
1:2Re0:43Pr1=3
b
(15) Model previously suggested by Giani et al.[17] and commonly adopted for porous
burner modeling.[5] The strut size b is calculated knowing the cell size or volume
and porosity. Re and Pr the famous Reynold’s and Prandtl’s numbers, respectively.
Specific area of pores, Sc 36ab
Vc
(16) Assuming foam materials constituted of tetracaedecaedric cells having triangular
struts of length a¼ dc/2.995 and size b. The cell volume Vc is connected to a
parameter by Vc¼ 8(2)1/2a3.
The operating temperature and the oxidizing atmosphere will
screen out a number of constitutive materials. The operating
range in terms of flux and the required Reynold’s numbers
imposes some restrictions on the pore size.
In a first step, imposing a maximum service temperature
larger than 1000 K and a very good oxidation resistance, and
limiting the selection to open cell foams, the Cambridge
Engineering Selector (CES) software[22] was used to provide a
list of candidate materials. This list is given in Table 4. Four
1052 http://www.aem-journal.com � 2009 WILEY-VCH Verlag GmbH & C
additional materials currently studied in our laboratory were
added to this list.
In addition, fluid mechanics imposes extra conditions on
the material. An excessive Reynold’s number would lead to a
turbulent flow, and to a combustion taking place outside the
burner. A low porosity and small pore size induce significant
pressure drop, as a consequence they may cause a flow with
position dependent pressure. Therefore, the pore size must be
larger than a minimum value (about 100mm).
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Table 4. Candidate open cell materials with the appropriate temperature and oxidation resistance.
Base materials (purity ratio) (bulk density) Current acronym Cell number per unit volume [mm-3] Relative density
Alumina (99.8%) (1.2) Alumina 300–6� 10þ4 0.297–0.328
Alumina (99.8%) (0.8) Alumina 300–6� 10þ4 0.198–0.219
Alumina (99.8%) (0.4) Alumina 300–6� 10þ4 0.099–0.109
Alumina (99.5%) (0.745) Alumina 0.20–88 0.17–0.22
Alumina (92%) (0.61) Alumina 0.28–110 0.13–0.18
Alumina (99%) (0.825) Alumina 0.10–15 0.205–0.215
Cordierite (0.5) Cordierite 0.10–15 0.16–0.18
Mullite (0.70) Mullite 0.10–15 0.23–0.24
Mullite (0.65) Mullite 0.10–15 0.215–0.225
Mullite (NCL) (0.46) Mullite-NCL 0.20–42 0.15–0.16
Silicon carbide (0.5) SiC 0.10–15 0.15–0.16
Zirconia (partly stabilized) (1.28) PSZ 0.10–15 0.205–0.215
Zirconia (partly stabilized) (1.27) PSZ 0.10–15 0.21–0.22
Zirconia (partly stabilized) (1.23) PSZ 0.10–15 0.195–0.205
Zirconia Mullite Alumina (0.63) ZrO2�Al2O3�SiO2 0.33–57 0.15–0.19
Zirconia with calcia (fully stabilized) (0.74) ZrO2�CaO 2.30–38 2.24
Zirconia with magnesia (partly stabilized) (0.81) ZrO2�MgO 0.50–60 0.123–0.147
Additional materials Porosity Cell size-Strut size [mm] Specific area [mm�1]
FeCrAlY 0.951 1.27–0.23 2.00
NiCrAl 0.928 1.30–0.26 2.45
Mullite 0.809 1.25–0.19 3.60
PSZ 0.832 0.83–0.19 4.43
Optimal Choice
The materials preselected in the previous section have to be
evaluated, using the models presented in Basic Physical
Phenomena Section, in order to calculate their efficiency in
terms of radiated power and pollution rate. In order to do so,
we need the effective properties of these materials. Some of
these properties (such as thermal conductivity, specific heat,
porosity, and cell size) are referenced in (or inferred from)
the CES database. Other properties (such as extinction
coefficient, scattering albedo, exchange coefficient, and
Table 5. Effective materials properties.
Material acronyms Porosity Specificarea [mm�1]
Thermal conduc[W m�1 K�1
Alumina 0.67 26.60� 3.10
0.90 0.16� 0.72
Cordierite 0.82 6.80� 0.25
0.84 1.19� 0.41
Mullite 0.77 1.47� 0.33
Mullite-NCL 0.84 1.51� 0.31
SiC 0.85 6.36� 0.55
0.84 1.15� 0.71
PSZ 0.79 7.54� 0.26
ZrO2-Al2O3-SiO2 0.85 1.72� 0.50
0.81 10.95� 0.33
ZrO2–MgO 0.87 1.77� 0.26
0.85 9.63� 0.24
FeCrAlY 0.951 2.00 2.67� 10�4 TsþNiCrAl 0.928 2.45 6.18� 10�4 TsþMullite 0.809 3.60 0.26
PSZ 0.832 4.43 0.27
The properties which are calculated using Equations 7–16 are indicat
ADVANCED ENGINEERING MATERIALS 2009, 11, No. 12 � 2009 WILEY-VCH Verl
specific area) have to be estimated using Equations 7–16.
The values are given in Table 5 for the porous supports
representing the preselected materials. The comparison
between experimental results and modeling concerning the
NiCrAl foam recently carried out by Gauthier et al.[5] gives a
feeling for the accuracy of the model.
In the current study, combustion of premixed gas
constituted of air and natural gas is studied. The gas
combustible is injected at room temperature with an
equivalence ratio of 0.77. Two different specific powers (or
tivity]
Extinctioncoefficient [mm�1]
Scattering albedo
9.36� 0.3 for Ts< 600 K�; 0.7 for Ts> 600 K�
0.058�
2.39�
0.42�
0.52�
0.53�
0.40�
2.23�
2.58�
0.64�
3.85�
0.62�
3.38�
0.09 0.41 0.68
0.07 0.59 0.63
0.26 Tsþ 609 7� 10�4 Tsþ 0.069
0.267 Tsþ 846 5� 10�4 Tsþ 0.193
ed by an asterisk (�)
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in-flux) of 100 and 300 kW m�2 are considered. According to
the previous experiment carried out byGauthier et al.,[23] these
operating conditions allow to operate the burner in the radiant
mode with different types of porous supports. Moreover, they
approximate the operating conditions used in practice. In the
following figures, the numbers associated to the material
name refer to the porosity and cell size (in millimeter).
Some of the preselected materials such asMullite-NCL and
PSZ foams would lead to a combustion front outside the
burner, as the full numerical calculationwould show it. Others
such as Alumina(0.90,15.27) presents a combustion front close to
the entrance of the porous region. This is unwanted since it
would lead to a heating of the gas combustible diffuser
system. The combination of properties ruling the front
position is not straightforward and only a full numerical
calculation[16] can allow such an evaluation. In the following
paper, we will consider only the materials for which the
combustion front is well inside the porous region.
Fig. 3. (a) CO concentration versus NOx concentration of preselected materials ful-filling the set of requirements. Case of in-flux of 100 kW m�2. Open gray circles:additional materials; open circles: materials from CES. (b) CO concentration versusNOx concentration of preselected materials fulfilling the set of requirements. Case ofin-flux of 300 kW m�2. Open gray circles: additional materials; open circles: materialsfrom CES.
Pollution Rate
The pollution rate as well as the radiated power are
functions of the injected specific power, denoted by P.
Classically, the emission rate is measured and computed at
a distance of 0.5–2 cm from the burner’s exit side.[5] In the
current study, the calculation results are evaluated at 2 cm
from burner exit. We have investigated the burner’s behavior
for the maximum and minimum values of P in a standard
range of operation (100–300 kWm�2). The classification of the
different possible materials listed in Table 4, for minimal NOx
and CO concentration is shown in Figure 3(a) and 3(b).
For the two considered in-fluxes, the ceramic porous
materials lead to high pollution rates. For instance, with a
specific power of 100 kW m�2, the PSZ that can be
commercially available gives a pollution rate about 12–20%
higher than the FeCrAlY. The other porous ceramics selected
from CES database lead to pollution rates in the same range.
Indeed, most of these materials have a porosity around 0.8.
Metallic foams such as FeCrAlY, with a porosity close to 0.95,
for the same specific power lead to lower pollution rates in
terms of CO and NOx.
Radiation Power
As far as the radiation power is concerned, the porous
alumina is less efficient with an emitted flux of 15 kW m�2
(resp. 19 kW m�2) only for an in-flux of 100 kW m�2 (resp.
300 kW m�2). Other materials are significantly better but they
lie in a range of about 21–24 kW m�2 for 100 kW m�2 in-flux
and of about 25–28 kW m�2 for 300 kW m�2 in-flux. The best
one is Mullite foam for an in-flux of 100 kWm�2, whereas it is
FeCrAlY when the in-flux is 300 kW m�2 (see Fig. 4(a)
and 4(b)).
Optimal Material Choice
The optimal material choice depends on the relative
importance of the thermal efficiency objective and of the
low pollution objective. From the viewpoint of pollution, the
1054 http://www.aem-journal.com � 2009 WILEY-VCH Verlag GmbH & C
FeCrAlY foam solution is always preferable. From the
viewpoint of thermal efficiency, the situation ismore complex:
at high in-flux, metallic foams are better while at low in-flux,
Mullite foam takes over.
The problem of durability of the burner may be an issue. It
may be that the gas contains aggressive elements which are
more lightly to damage metallic foams rather than ceramic
foams. In this respect, it is worth considering the porous
ceramics, which provide the best compromise both for the
radiant efficiency and for pollution rates. From the materials
investigated above, the Zirconia Magnesium Oxide
(ZrO2�MgO) with a porosity of 0.87 gives the best
compromise for both objectives and high and low in-flux
pressures.
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Fig. 4. (a) Radiation emitted flux corresponding to preselected materials fulfilling theset of requirements. Case of in-flux of 100 kW m�2. (b) Radiation emitted fluxcorresponding to preselected materials fulfilling the set of requirements. Case of in-fluxof 300 kW m�2.
It is worth noticing that the best materials have the highest
porosities and a cell size of about 1.2–1.3mm.
Conclusions
The radiant burner optimization involves both energy
efficiency criteria and pollutant rate limitations. These two
criteria put very demanding requests on materials selection.
We have shown in this contribution that the material selection
depends both on operating conditions, and on the relative
importance of the two above criteria. We have outlined a
selection procedure, relying on a physically based model for
thermochemical processes, which allows not only to select
from an existingmaterial database, but also to guide amaterial
by design strategy.
Further improvement will have to relax the underlying
hypothesis of the present paper: the best solution may not be a
singlematerial. Possibilities of multilayers, gradient porosities
ADVANCED ENGINEERING MATERIALS 2009, 11, No. 12 � 2009 WILEY-VCH Verl
open a whole range of new options which will have to be
investigated using the same modeling tools and selection
tools[24] as the ones illustrated in this contribution.
List of symbols
a strut length (m)
b strut size (m)
C molar concentration (mol m�3)
Cp specific heat (J mol�1 K�1)
d cell size (m)
D diffusion coefficient (m2 s�1)
I, I0 radiation intensity and equilibrium or Planck
intensity, respectively (W m�2 sr�1)
h convection exchange coefficient (W m�2 K�1)
H molar enthalpy (J mol�1)
L material thickness (m)
P in-flux or injected specific power (W m�2)
Pr Prandtl’s number
qr radiation flux (W m�2)
r reaction rate (mol m�3 s�1)
R perfect gas constant (J kg�1 mol�1)
Re Reynold’s number
Sc specific area of pores (1 m�1)
t time (s)
T temperature (K)
� molar velocity (m s�1 mol�1)
V cell volume (m3)
x axis of a Cartesian reference
X mole fraction
e emissivity
f porosity
F scattering phase function
g reflectivity
l thermal conductivity (W m�1 K�1)
m, m0 cosines of radiation direction
hmi extinction coefficient correction accounting for the
anisotropy of scattering
n Stoichiometric coefficient
u angle between the radiation incident direction of
cosine m0 and the scattering direction of cosine m
(rad)
Q thermal diffusion coefficient (m2 s�1 K�1)
r density (kg m�3)
s absorption, scattering, or extinction coefficient
(1 m�1)
v scattering albedo
Subscripts
a refers to absorption coefficient
bulk refers to the constitutive material
e refers to absorption coefficient
c refers to cell
g refers to the gas phase
out refers to the medium surrounding the burner
s refers to scattering coefficient or to solid phase
ag GmbH & Co. KGaA, Weinheim http://www.aem-journal.com 1055
COM
MUNIC
ATIO
N
J. Randrianalisoa et al./Materials Selection for Optimal Design of a . . .
Received: March 16, 2009
Final Version: April 20, 2009
Published online: July 1, 2009
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