MATHEMATICAL COMPUTER MODELLING
PERGAMON
Mathematical
and Computer
Modelling
30 (1999)
177-195 www.elsevier.nl/locate/n-cm
Radiative Ignition of Combustible Materials I. Polymeric Materials Undergoing Nonflaming Thermal DegradationThe Critical Storage Problem E. BALAKRISHNAN Department of Mathematics and Statistics Sultan Qaboos University: Sultanate of Oman M. I. NELSON* Department of Fuel and Energy, The University of Leeds Leeds LS2 9JT, England G. (3. WAKE Department of Mathematics and Statistics University of Canterbury Private Bag 4800, Christchurch. n’ew Zealand (Received
December
1998;
accepted
January
1999)
Abstract-The critical storage problem for a self-heating combustible material exposed t,o all external radiative heat source is investigated. The reaction kinetics are defined in terms of a characteristic temperature and an activation energy, linking small-scale experimental techniques to mediumscale Aarnmability tests. The mode1 is nondimensionalised in such a way that material properties of fundamental interest are retained as distinct continuation parameters. @ 1999 Elsevier Science I,td All rights reserved. Keywords--Cone
calorimeter,
Nonflaming combustion
NOMENCLATURE A
pre-exponential
E
activation
E”
nondimensionalised
7-1
ramping
(b-1)
factor
(.I Illol-- ’)
energy activation
energy, E” = E/RT,
rate used in a thermogravimetric
t
)
(KS_‘)
experiment
L
the length of the test sample
L?
a typical sample length
(111)
strength
(Js-’
.c
of external
(III)
irradiance
rl-2)
*Author to whom all correspondence should be addressed. This work was carried out whilst MIN was supported by a fellowship from the Royal Society of London to work with GCW in New Zealand. In addition support from a Marsden fund grant from the Royal Society c#f New Zealand (UOA 515) is acknowledged. 0895-7177/1999/S - see front matter @ 1999 Elsevier PII: SO895-7177(99)00207-l
Science
Ltd.
All rights reserved.
Typeset
by &&‘I$$
178
et al.
E. BALAKRISHNAN L CT
the critical heat flux
&r
IL=j
the critical heat flux of a sample of length j(m)
(Js-’
me2)
Ix+
the critical heat flux of a sample when the heat-transfer coefficient on the insulated boundary is j
(Js-’
mV2K-‘)
CR
the relative length number, CR = (CC,
(-)
Lr
(Js-l
number, Cc, = (L,,
IL=O.OI
-Cc,
Jxz=e -&
IL=o.o~/&
IL=~.o~)
IXz=o.rX1/LCcr Ix,=o)
rne2)
Lx
the noninsulation
Cc’
nondimensionalised
G,
the nondimensionalised
Ml
the combustible
Q
reaction exothermicity
(JW’)
R
the ideal gas constant
(JK-l
T
temperature
(K)
Tt
the effective ambient temperature when an external irradiance is combined with a ‘hot’ atmospheric temperature
(K)
T*
reduced temperature
(-)
TCl
ambient temperature
TC
characteristic
TE
nondimensionalised
characteristic
temperature,
T,’ = T,/T,
Y*
nondimensionalised
sample length, Y* = L/L,,
Y* = L/L,
a0
half-width of the test sample, used in the Frank-Kamenetskii
c
heat capacity
(J K-’ kg-‘)
k
thermal conductivity
(J s-l
irradiance strength, L’ = L/Tax1
(-) (-)
critical heat flux
(-)
material
(kgme3)
scale, T* = T/Ta
mol-‘)
(K)
temperature
measured in a thermogravimetric
thermal conductivity,
experiment
(K) (-) (-)
variables
k”
nondimensionalised
kd
the rate of thermal degradation
qout
nondimensionalised
t
time
t*
nondimensionalised
2
position within the test sample, 0 5 CC2 L
XV
reduced length scale, x* = x/L
9
nondimensionalised
Q
absorptivity,
6
the Frank-Kamenetskii
t
reduced activation
e
nondimensionalised temperature rise over ambient in the FrankKamenetskii variables, 0 = (E/RTz) (T - Ta)
k* = k/x1 L,
(m)
K-‘)
(-) (kgm
radiative heat loss coefficient,
m-l
qout = aTi/x~
-3 s-1
)
c-1 (4
time, t* = (k/pcLz) t
reaction exothermicity,
(-1 (4 c-1
@ = QpHLT/xlTz
c-1
0 _< QI5 1
(-_)
parameter, 6 = (pQa$Aexp
energy in the Frank-Kamenetskii
[-E/RTa])
/kRTz
variables, c = RT,/E
(-_) c-1 c-1
P
density
c7
Stefan-Boltzmann
X1
the heat transfer coefficient between the sample and the surrounding
(Js-l
mm2 K-l)
x2
the heat transfer coefficient between the sample and its insulating background material
(J s-l
mW2 K-l)
X;
the nondimensional&d
(-)
ary, x5 =x2/x1
(km-3)
constant
(J s-l air
heat-transfer coefficient on the insulated bound-
m-’ Ke4)
Unless otherwise specified, we take the following typical parameter values: E = 80 x lo3 J mol-‘, Ff = 1/60Ks- l, L = O.Olm, L, = 0.01 m, Q = 20 x lo6 J kg, T, = 298K, T, = 580K, c = 1000Jkg-lK-l, k = lJs-lm-lK-l, a = 1, p = 2000kgm-3, x1 = 30Js-1m-2K-1, 33 = 0Js-1m-2K-1.
Radiative
The following
range of parameter
Ignition
values can be considered
80 x lo3 5 E (JmolY’) 580 < T,(K)
5 240
0.01 5 ,+ (Js-’ 0 < x2 < appropriate
10-"
values
for physical
‘typical’: x
103,
I 780,
4 x 10’ 5 Qp (Jne3)
The
179
5 4 x lOlo,
m-2K-1)
5 1.0,
O.lYl.
constants
are:
R = 8.31431 JK-’
mol-’
and r = 5.67
x
J s-l m-2 K4.
1. INTRODUCTION The thermal a classic cessful
runaway
problem
of a self-heating
in combustion
in explaining
fire-risk
theory hazards
combustible
material
[l]. The associated of practical
concern
placed
in a hot environment
mathematical
theory
from a wide range
is
has been suc-
of industries,
in
manufacturing processes, storage, and transportation [a]. Two distinct fire-hazard problems arise in practice. The critical storage problem is the highest temperature at which a material can be safely stored. This problem is defined by the ste.sdystate equations, is independent of the initial conditions, and is characterised by a limit-point, bifurcation. The ctitical assembly problem relates to the fact that a material that is assembled at t.oo high an initial temperature may ignite, even though the storage condit,ions were known to t)e subcritical as far as the steady-state theory is concerned. The practical significancac> 0’ the latter problem has only been realised in recent years. We model the fire-hazard created by the radia,tive heating of a self-heating combustible material. This models a fire scenario in which a a combustible material is heated 11~ a nearby fire. Furthermore, test methods have been developed in recent years to evaluate the flammability
of polymeric
materials
wherein
the test sample
is radiatively
heated
on one side.
are rr$acing older methods, which invariable involve heating by a bunsen flame, as they more reproducible results and are more amenable to mathernat,ical modelling. In particular, mat,hematical
model considered
here incorporates
the testing
of materials
undergoing
l’hese give t,hc
nonflaming
combustion in the cone calorimeter [3-51, which is becoming a standard test method in indllstry. Our primary motivation for this work is to provide the foundation for a future investig,ation into t,he effectiveness of fire-retardants in reducing flammability. The result,s presented here should, therefore, be considered as defining the flamrnability of nonfire-retarded material:;. In this paper, we address the critical storage problem, paying particular attention to how criticality is influenced by t,he physical and chemical parameters in t,he model. The critical assembly prc~blem is cbonsidered elsewhere [6]. 1.1. Nondimensionalising
the
Model
For many years combustion problems, regardless of their source of origin, were nondlmensionalised using the variables popularised by Frank-Kamenetskii [l]. This uses a dimensionless temperature rise over the ambient given by
The simplest spatially nonuniform combustion problem t,hen contains two nondimensionalised parameters, a reduced activation energy (t) and the Frank-Kamenetskii parameter (fi), often called the Dank6hler Number in the chemical engineering literature, defined bl RT, c=---, E 6
=
pQ@ k RT,T
(2)
180
E. BALAKRISHNAN
The power provided
by this choice of variables
et al.
is that many problems
have an analytic
when the pre-exponential approximation (c = 0) is made [a]. In the mid 1980s it was realised that the Frank-Kamenetskii nondimensionalisation the role played by the ambient
temperature
in defining
the combustion
problem;
solution
complicates
in many cases this
is the most important experimental control parameter. Notice that it appears in both the reduced activation energy and the Frank-Kamenetskii parameter. Consequently, varying one of these parameters, whilst keeping the other fixed, does not reflect experimental ambient temperature is varied as the bifurcation parameter. Therefore, variables
are inappropriate
when ambient
temperature
methodology; whereby the Frank-Kamenetskii
is viewed as the main
bifurcation
param-
eter. A further complicating factor is that ambient temperature also appears in the definition of the nondimensionalised temperature-scale. am. which a nondimensionalised Accordingly a nondimensionalisation was introduced [7-91 m bient temperature is retained as a distinguished bifurcation parameter. This is discussed in more detail elsewhere [8-lo]. In particular, it was shown that the use of the exponential approximation (E = 0) leads to large errors the classical nondimensionalisation behaviour
shown when different
in the calculation of critical initial temperatures [8] and that is sufficiently nonlinear to conceal some of the differences in bifurcation
detail in Section 4.1. In this paper, we are interested rial effect its flammability. parameters
of interest
are varied
in how the physical
We, therefore,
are retained
parameters
[lo]. This is discussed
and chemical
properties
choose a nondimensionalisation
as distinct
continuation
2. DESCRIPTION
in more
of the test mate-
scheme
in which the
parameters.
OF THE
MODEL
In Section 2.1, we describe the model chemistry and discuss the formulation of the reaction kinetics using the concept of a characteristic temperature and an activation energy, rather than the traditional definition of a pre-exponential factor and an activation energy. we discuss the physics of the model. In Section 2.3, we discuss the classification results 2.1.
as either
subcritical
Description
of Model
The self-heating rhenius Kinetics,
reaction
In Section 2.2, of experimental
or supercritical. Chemistry is modelled
by a single, exothermic,
first-order
reaction
obeying
MI --t Mz.
Ar(4)
Depletion of the combustible material (MI) is assumed to be negligible. The rate constant for such a reaction is traditionally written in the form, kd = -MlAexp
[ 1. g
For polymeric materials undergoing flaming combustion proven useful to rewrite the rate constant in the form, kd = -Ml%
[ll],
(5) and references
therein,
it has
(6)
exp c
In equation
(6) the parameter
T,, the characteristic
temperature,
is routinely
measured
in
thep’mogravimetric experiments [12]. The parameter X is the heating rate used in the thermogravimetric experiment. Note that these definitions of the rate constant are equivalent with the pre-exponential factor in equation (5) defined by A=gexp[&]. c
c
(7)
Radiat,ive Ignition Formulating
the reaction
kinetics
using equation
LX1
(6) is advantageous
because,
from the victw-
point of an experimentalist, it is very natural to consider how the flammability of a class of materials depends upon their characteristic temperature. Similarly, it is useful to ruse the activation energy, at fixed characteristic temperature, as a secondary bifurcation parameter. In the latter
E ---) cc is of theoretical
case, the limit
kinet,ics in a way that is well understood, in thermogravimetric experiments. 2.2.
Description
of Model
The combustible in an environment boundary, radiative
material
heat. transfer
because
it motives perspective,
high-energy
activation
in terms of bchavirnn
Physics is assumed
at ambient
is is heated
interest
from an experimental
to be a one dimensional
temperature
by an external
(T,).
irradiance
The front
slab of length
L which is placed
of the slab (1: = 0). t,hc exposed
(C), in addition
to undergoing
convective
.md
with its surroundings,
The cone calorimeter has been designed so that the rear end of the sample (X = L). the insulated face, is perfectly insulated. We usually assume that this holds. For simplicity, when considering nonperfect
insulation
we model the heat-transfer
between
the sample
and the insulating
surface
as a convective heat-transfer process. A more detailed model would explicitly include an iriert substrate underneath the test sample and model heat-transfer across the interface by coupling two partial differential equations, one for the combustible material and one for the insulating material,
at the rear boundary.
We assume that the irradiance is uniform across the exposed face and that heat-transfer dimensional. The cone-calorimeter has been designed so that these requirements hold. A schematic diagram showing the model geometry is provided in Figure 1. The cone calorimeter
methodology
specifies
no standard
paratus allows a maximum length of five centimeters. sample is one centimeter, a typical sample length. For simplicity, we assume that material properties intention ticularly 2.3.
to investigate for porous
Classification
the effect of having
materials,
at a latter
of Model
sample
We usually
length, assume
are independent
a temperature-dependent
the design that
of the ap-
the lengt,h of the
of temperature. thermal
is one
It. is om
conductivitjy,
par-
date.
Behaviour
In the cone calorimeter, and other radiative test methods, the strength of the irradiating accordingly we use it as the primary bifurcation source (C) is the main control parameter; parameter. When considering our model from the perspective of a potential fire hazard. the irradiance (C) reflects the severity of the fire. Two types; of behaviour are observed experimentally in cone-calorimeter tests: if the irradiance is suheritical the temperature of the sample undergoes a small increase; if the irmdiance is su~ercritical the sample undergoes thermal runaway. The dividing line between subcritical and as the critical heat fluz (G,,). supercritical behaviour is known in the fire-engineerin, (r literature The calculat,ion of the critical heat flux solves the critical storage problem. Experimental reports of critical heat, flux include [2], from materials undergoing self-heating, and [13-151. for the cone calorimeter.
3. MODEL 3.1.
Dimensionalised
The system
that
EQUATIONS
Equations we study
Reaction-Diffusion
is the following. Equation. L-g
= peg
- Qp$$
exp c
(8)
E. BALAKRISHNANet al.
182
I
HOT ATMOSPHERE TEMPERATURE = Ta
x = 0 (exposed boundary)
x = L (insulated boundary)
lNwLATlNG
MATERIAL
Figure 1. Model geometry showing convective (C) and radiative (R) heat-exchange between the hot atmosphere (temperature, T,) at the exposed boundary of the sample (2 = 0). The exposed boundary is also heated by an external irradiance (I). The sides of the sample are assumed to be perfectly insulated, so that heat-transfer is one dimensional. At the insulated boundary (z = L) the sample may be either perfectly or imperfectly insulated. Standard values for the nondimensionalised parameters are: nondimensionalised activation energy, E* = 32.288; nondimensionalised characteristic temperature, T: = 1.946; nondimensionalised reaction exothermicity, @ = 2.502; nondimensionalised sample length, Y’ = 1; nondimensionalised thermal conductivity, Ic* = 3.333.
Boundary Condition on z = 0.
-kg =cd
+ Xl(Ta
- T) +
a0
(T, - T4).
(9)
Boundary Condition on x = L. -kz
m
= x2(T - T,).
Initial Condition at time t = 0. T(z, 0) = T,.
(11)
The classic combustion problem assumes that there is no external irradiance (C = 0) and redefines the convective heat-transfer coefficient so as to include the effect of radiative heatexchange. Ambient temperature is used as the primary bifurcation parameter. Assume that the rear-boundary is perfectly insulated (~2 = 0) and that convection is the only heat-loss mechanism. The boundary condition on z = 0, equation (9), is -kg
= CYC+ Xl(Ta - T), =X’({Ta+$}-T),
= Xl (T+ -
T),
where T+ can be regarded as an ‘effective ambient temperature’.
(12)
Radiative
Hence,
there is no distinction
between
purely
1x3
Ignition
‘hot atmosphere’
experiments,
purely
‘radiative’
experiments and experiments combining a ‘hot atmosphere’ and an external irradiance: each of these experiments can be defined in terms of an effective ambient temperature. Now consider the case where both convective and radiative heat-loss mechanisms are included. First observe that since all the parameters are positive we can always find a unique of T+ such that aC + xlTa + wT; == xlT+ + aaT+‘. The boundary
condition
on cx = 0, equation
-kg =aL = d
(9), can then
+ x1(7; -T) + xlT,
be written
posit,ive value (15)
as
+ acr (T; - T”) .
(1G)
- XI?’ - ucrT”.
117)
+ aoT;
= xlT+ + aaT +“ - xlT
- CWT“,
ilS)
= x1 (T+ - T) + cto (T+” - T”) . and the same conclusion
3.2.
is T+ is an “effective
holds, that
Nondimensionalised
ambient
1119) temperature”
Equations
In \-iew of the discussion
in Section
3.1, our nondimensionalisation
scheme
does not retain
ambient temperature as a distinguished bifurcation parameter. In nondimensionalking equations (8)-( 11). we introduce a nondimensionalised temperature, T*, and a nondimensionalised time, t*. Equations (8)-( 11)) can then be written as follows.
nondimensionalised t,he Nomenclature.
Reaction-Diffusion
These
length,
CI*L,a
are defined
in
Equation. a2T* i3T* a2+2=df*-
Boundary
condition
on z* = 0. aT* --_=-. ax*
Boundary
condition
Y* k”
cd*
+ (1 - T*) + aq,,t
(1 _ T*‘)}
(21)
on x* = 1. --
aT*
zz F
(22)
(T* - 1).
8X*
Initial
Condition
at time t* = 0. T*(z*,O)
where
the nondimensionalised
variables
(23)
= 1,
are defined
in the Nomenclature.
Each
parameter
of
interest has been retain as a separate distinguished bifurcation parameter. The properties of the solution set for this system of equations for the case a = 0 was first discussed by Burnell et al. [9]‘. The parameter Y*, which represents the nondimensionalised external sample length (Y* = L/L,), could be eliminated from these equations by redefining the nondimensionalised thermal conductivity and nondimensionalised reaction exothermicity
1Although Burnell
et al. use a different
k+ = k*Y*,
(24)
a+ = QY”.
(25)
nondimensionalisation
the two models
are topologically
equivalent.
184
E. BALAKRISHNAN
Since the sample
length
is a natural
control
guished continuation parameter. Effectively, ‘internal’ length scale, representing position length state
scale, representing calculations
the length
parameter,
experimentally
we retain
it as a distin-
we have two nondimensionalised length-scales: an within the sample (0 5 Z* < l), and an ‘external’
of the sample
and not to transient
et al.
calculations
(Y*).
The latter
because
is relevant
the sample-length
only to steady-
also appears
in the
time-scale. 3.3.
Numerics
The steady-state using Auto
solutions
of equation
94 [16] by rewriting
(20) with boundary
the initial-value
problem
conditions as a boundary
(21),(22)
was investigated
value problem.
4. RESULTS Our general specific material,
approach
is to fix the thermophysical
and to use the nondimensionalised
and chemical irradiance
parameters,
thus modelling
(C”), the experimentally
a
controlled
parameter, as the primary bifurcation parameter. We represent the response of the material to the ignition source by plotting the L2 solution norm against the nondimensionalised irradiance. In Section 4.1, we investigate the steady-state structure of the model, showing the existence of response diagrams containing one, three, and five steady-state solutions. When the response diagram does not have a unique solution for all values of the primary bifurcation parameter there are two cases to consider, depending upon if the steady-state diagram has multiple solutions when the primary bifurcation parameter is zero. The implications of such behaviour is discussed in Section 4.2. When the response diagram contains three, or five, steady-state solutions there is a critical of the nondimensionalised irradiance at which the ‘low-valued’ solution branch, corresponding noncombusting
material,
loses stability
irradiance slightly higher than representing thermal runaway.
at a limit point,
the ignition
limit point.
value to a
For values of the
this critical value the solution evolves onto a high-norm solution, The ignition limit point corresponds to the nondimensionalised
critical heat flux, (,C&). In Sections 4.3 and 4.4, we investigate how the nondimensionalised critical heat flux depends upon the thermophysical and chemical properties of the test material and upon experimental conditions. Although it is standard to assume that the rear boundary is perfectly insulated, anomalous experimental results, for materials undergoing flaming combustion, have been proscribed to nonideality in this boundary condition. Accordingly, in Section 4.4, we pay particular attention to the impact that heat-transfer on the insulated boundary has upon the nondimensionalised critical heat flux. Recall that there is a one-to-one relationship between our nondimensionalised continuation parameters and their dimensionalised counterparts. Hence we often write, for example, ‘the critical heat flux’ rather than ‘the nondimensionalised critical heat flux’. 4.1.
Physically Disjoint, Nonphysically and ‘Intrinsically Nonflammable’
Disjoint, Solutions
When the exponential approximation (E = 0) is not made the classical combustion problem in the slab exhibits two types of response curve: either there is a unique solution for every value of the control parameter or the response curve is the archetypal ‘S’-shaped combustion curve [9]. The former case represents ‘intrinsically nonflammable’ materials because small changes in the primary bifurcation parameter cannot produce sudden increase in the solution norm. The latter case models ‘combustible’ materials as in the vicinity of the ignition limit point a small change in the primary bifurcation parameter can have a large effect on the solution norm. When a nondimensionalisation scheme is used that accurately reflects experimental methodology there are two distinct types of ‘S’-shaped response curve. If the extinction limit point is
Radiative
in the left-half
plane
the steady-state
diagram
185
Ignition
is said to be physically-disjoint.
If it is in the
right-half plane the steady-state diagram is said to be nonphysically-disjoint. This classificat,ion arises because negative values of the primary bifurcation parameter do not make physically sense. This
phenomenon
was discovered,
though
explained
far from clearly,
practical significance was discussed by Gray et al. [lo]. It is significant that the phenomena of physically disjoint when the Frank-Kamenetskii
variables
are used.
response curve has an important practical consequence and is discussed further in Section 4.2. , W: showed in Section 3.1 that the radiative ignition to its combustion in a hot environment. investigate and the classic combustion exposed exhibited
boundary.
Consequently,
in our model,
over a range of parameter maximum
multiplicity
and the ‘new variables’ introduced
by radiative
as shown in Figure
heat-exchange
in predicting
of a combustible
material
The extra
(a) Steady-state diagrams showing: (1) physically disjoint solution, (2) nonphysically disjoint solution, (3) “intrinsically nonflammable” solution.
wa.s equivalent t,he problem we heat loss on the t,ypes are
2b shows a fourth type of solution
t,hat has,
This is a surprising
result because
in both t,he Frank-Kamenetskii
multiplicity
on the exposed
of a system
solution
solutions.
has been found
is not apparent
the flammability
that the three fundamental
2a. Figure
values, five steady-st,ate [7-g] is three.
branches
191. Its
bet)ween two types of ‘S’-shaped
Therefore, the main difference between problem is the incorporation of radiative
it is unsurprising
for a slab that
solution
The distinction
et al.
by Burnell
the
variables
is due to the ext,ra nonlinearity
boundary.
(b) Steady-state diagrams showing potential dering combustion’ behaviour.
‘smoul-
Figure 2. (a) Parameter values: nondimensionalised characteristic temperature. (1) T,’ = 1.946, (2) T,* = 5.940, (3) T,’ = 6.040. (b) Parameter values: nondimensionalised characteristic temperature, T,‘ = 3.188; nondimensionalised reaction exothermicity, + = 2.502 x 10-l. Parameter values not specified are defined in the caption for Figure 1.
4.2.
The
Transition
and Nonphysically
Between
Physically
Disjoint
Disjoint
Solutions
In Section 4.1, we discussed the distinction between physically disjoint and nonphysically disjoint solutions, an example of each is shown in Figure 2. The combustion of a material that
E. BALAKRISHNANet al.
186 190
,
1
,
I
,
,
,
,
,
100
I
I
110
,/’ _
-
90
10060
(A) Physically disjoint steady-state solutions
,/’ ,:’
,/’
70
,/’
,/’ ,: ,/ ,/’ ,,,’ ,/’
60
,/
,/’ 50
,/’ ,/ ,:’ ,:’
50 -
40 40 -
(C) “fntrinsicalfy non-flammable matenafs”
(C) “lntrinseally non-flammable materials”
30
1 3
(a) Nondimensionalised Q, = 2.502.
reaction exothermicity,
4 5 Non-dlmensionaleed
(b) Nondimensionalised + = 2.502 x 10W2.
6 7 6 characterlst!c tempearture
9
reaction exothermicity,
Figure 3. Regions of parameter space exhibiting (A) physically disjoint solutions, (B) nonphysically disjoint solutions, (C) “intrinsically nonflammable” solutions. Region (B) occurs between the solid and dotted lines. Parameter values not specified are defined in the caption for Figure 1.
exhibits a physically disjoint steady-state diagram is not extinguished if the irradisnce is decreased sufficiently slowly towards zero. The fate of if the irradiance is changed more rapidly, perhaps even turned off instantaneously, depends upon the basins of attraction of any coexisting attractors. For the model considered in this paper, we believe that combustion cannot be extinguished by lowering the irradiance to any physically attainable self-sustaining if the irradiance source is removed. Although materials
exhibiting
level, i.e., combustion
is
physically disjoint response diagrams can continue to burn in
the absence of an external irradiance, this is not true for materials with nonphysically disjoint response diagrams: in the absence of an external irradiance the only attractor is a ‘low-valued’ solution; combustion, is therefore self-extinguishing. Furthermore, combustion is self-extinguishing if the strength of the ignition source is reduced past a critical value, given by extinction limit point. The transition from a physically disjoint response curve to a nonphysically disjoint curve, occurring when the extinction limit point passes through the line L* = 0, is therefore important. The transition from nonphysically disjoint to ‘intrinsically inflammable’ is also of interest. The regions of parameter space in which these three fundamental solution types may be found are shown in Figures 3 and 4. We refer to the value of the characteristic temperature at the boundaries between these regions as the critical transition (characteristic) temperatures. We emphasis that the distinction between materials having physically disjoint and nonphysically disjoint steady-state solutions does not arise if the Frank-Kamenetskii variables are used. Figure 3 shows that, for a fixed value of the activation energy, the critical transition temperatures decrease with decreasing reaction exothermicity, as expected intuitively; this point is also illustrated in Figure 4b. Notice that as the activation energy increases so does the critical char-
Radiative
Ignition
187
(C)“lntrmskally
2.5 ^^^.
“.Wl
“.I
Non-dimensionalised thermal condktivity
(a) Variation with nondimensionalised conductivity.
thermal
non-flammable materials””
^ ^_ ^ IL”1 0.1 Non-d!mensionallsed reaction exotherkty
(b) Variation with nondimensionalised exothermicityl.
. . ...A 1”
reaction
Figure 4. Regions of parameter space exhibiting (A) physically disjoint solutions. (8) nonphysically disjoint solutions, (C) “intrinsically nonflammable” solutions. Region (B) occurs between the solid and the dotted lines. Parameter values not specified are defined in the caption for Figure 1.
acteristic temperatures, from this perspective high-activation energy materials pose a greater fire hazard. In Figure 4, we consider the ‘best case’ by taking the activation energy to be the lowest permissible value. Figure 4a shows that as the thermal conductivity decreases the critical transition temperatures increase. This is unsurprising because as the thermal conductivity decreases heat is increasingly concentrated near the exposed boundary, increasing the chance of thermal runaway. It should be noted that the lower values of the thermal conductivity
in Figure 4s are more
realistic than the higher ones. In view of the typical parameter values given in the Nomencla,ture, and of the results shown in Figure 2, we conclude that the type of materials considered in this paper will invariably exhibit physically disjoint, steady-state curves. This has an immediate consequence: materials of practical interest may ignite in the absence of an external irradiance, provided that there initial temperature profile is above some watershed. This is the critical assembly problem, which is investigated elsewhere [6]. 4.3.
The Dependence
of the Critical
Heat Flux Upon
Material
Properties
Figures 5-7 show how the critical heat flux, identified with the ignition limit point, depends upon the physical and chemical properties of the material. As our nondimensionalisation keeps physical and chemical parameters of interest as distinct bifurcation parameters, we investigate this dependence by continuing the ignition limit point with the appropriate secondary bifurcation parameter. Figure 5a shows that, for fixed activation energy, the critical heat flux increases with characteristic temperature. In Figure 5b, provided the activation energy is sufficiently large, the critical heat flux increases with activation energy; for lower values of the reaction exothermicity the crit-
188
E. BALAKRISHNANet al. 1.8
:’ ,:’ ,:’ ,:’ ,:’
,.I’ ,:’ ,:’ ,:’
,/’ ,,/
,;’ ,:’ ,,.’ ,:’ ,I’
1.Y
2
2.1
2.2
2.3
3
,:
,:
,’
,/’
,..’
,:’
---
,I
,/’
,/’
,/’
2.4
2.5
2.6
2.7
30
Non-dimensionalisedcharacterislictemperature
(a) The variation of nondimensionalised critical heat flux (LE,) with nondimensionalised characteristic temperature (T:).
40
50
60
70
80
90
100
Non-dimensionalisedachvat~onenergy
(b) The variation of nondimensionalised critical heat flux (L;,) with nondimensionalised activation energy (E*).
Figure 5. Ignition limit point bifurcation diagrams. (a) Parameter values: nondimensionalised activation energy, (1) E* = 32.288, (2) E* = 64.576, (3) E” = 96.864. (b) Parameter values: nondimensionafised reaction exothermicity, (1) @ = 2.502, (2) @ = 3.5 x 10F2, (3) + = 2 x 10W2, (4) + = 9 X 10W3. Parameter values not specified are defined in the caption for Figure 1.
ical
heat
flux initially
decrease with increasing activation energy. If the reaction exothermicity
is
sufficiently low the critical heat, flux decreases monotonically over the range of activation energies considered, as suggested by Figure 6a. Figure 6 shows the critical heat flux increasing with decreasing exothermicity, this is more noticeable for low activation energy materials, Figure 6a. The intersections of the three curves in Figure 6a reflects the range in behaviour shown in Figure 5b: in decreasing the exothermicity, we move from a regime where the critical heat flux increases monotonically with activation energy to one where it decreases monotonically. Figure 6b shows that at low exothermicity there is a substantial increase in the critical heat flux as the characteristic temperature increases. Figure 7 shows that the critical heat flux decreases with decreasing thermal conductivity. The trends with increasing activation energy and characteristic temperature reflect properties already noted. 4.4.
The Dependence
of the Critical Heat Flux Upon Experimental
Conditions
In Figures 2-7, we assumed that the sample length was 10 mm and that the rear boundary was perfectly insulated. In Figures 8-11, we show how the critical heat flux depends upon the length of the sample, Figures 8a, 9, and llb, and the degree of heat-transfer at the insulated boundary, Figures 8a, 10, and 11. It is usually assumed that the rear boundary is perfectly insulated, the latter figures show the effect of nonideality upon experimental results. Figure 8 shows the percentage change in the critical heat flux as either the length of the sample, (a), or the heat-transfer coefficient, (b), is increased from their default values. The critical
Radiative
189
Ignition
r
0.01 Nondimenslonaked
0.1 reacbon exafhermicily
(a) Variation with activation characteristic temperature.
1
energy for a fixed
0.01 Non-dlmenslonalised
0.1 reacnon exotherm~~~
(b) Variation with characteristic fixed activation energy.
1
temperature
for a
Figure 6. Ignition limit point bifurcation diagram: the variation of nondimensionalised critical heat flux (Lc,*,) with nondimensionalised reaction exothermicity (9). (a) Parameter values: nondimensionalised activation energy, (1) E* = 32.288, (2) E’ = 64.576, (3) E’ = 96.864. (b) Parameter values: nondimensionalised characteristic temperature, (1) T,’ = 1.9463, (2) TT; = 2.282, (3) T,’ = 2.617. Parameter values not specified are defined in the caption for Figure 1.
heat flux decreases monotonically with increasing sample length and increases monotonically with the degree of nonideality in the experiment. In view of the trend in Figure 8a we consider the ‘worst case’ scenario in Figure 9 and calculated the percentage difference between a sample of length 50 mm (Y’ = 5) and of length 10 mm (Y” = 1): we call this number the relative length number (CR). A length of 50mm was chosen because this is the maximum sample size that can be used in the cone calorimeter. The :sensitivity of the critical heat flux to sample length increases with decreasing activation energy and decrea@ng thermal conductivity. In Figures 10 and 11, we compare the critical heat flux when the heat-transfer coefficient on the rear boundary is 10% of that on the exposed boundary (~2 = 0.1~1) to the case when the rear boundary is perfectly insulated (~2 = 0.0): we call this the noninsulation number (C,). The case x2 = 0.1~1 was chosen as representin,0 the maximum heat-transfer coefficient that can be expected in an experiment that has been designed to be, ideally, perfectly insulated. The noninsulation number, therefore, represents the error induced by nonperfect insulation. Figure 10 shows the noninsulation number increases with decreasing characteristic temperature and decreasing activation energy for materials with high thermal conductivity. The maximum value of the noninsulation number, occurring for a reaction with a low characteristic temperature and low activation energy, is approximately 11%. This variation is less than the typical experimental uncertainty in determining the critical heat-flux under assumed conditions of perfect insulation [17]. Considering that the figure of 11% represents the worst case we, therefore, conclude that for materials with a high-conductivity the effect of nonperfect insulation on the rear boundary is relatively unimportant in the experimental determination of critical he& flux.
190
E. BALAKRISHNANet al.
“‘1
0.1
1
Non-dlmensionalised thermal conductiwty (a) Variation with activation characteristic temperature.
energy for a fixed
(b) Variation with characteristic fixed.
temperature
for a
Figure 7. Ignition limit point bifurcation diagram: the variation of nondimensionalised critical heat flux (L&) with nondimensionalised thermal conductivity (AZ*). (a) Parameter values: nondimensionalised activation energy, (1) E” = 32.288, (2) E” = 64.576, (3) E’ = 96.864. (b) P arameter values: nondimensionalised characteristic temperature, (I) Tz = 1.9463, (2) Tc = 2.282, (3) T,* = 2.617. Parameter values not specified are defined in the caption for Figure 1.
Figure
11 shows the effect of varying
the noninsulation
number.
the thermal
In view of the trends
conductivity
in Figure
and the sample
10, we consider
length
upon
the worst case sce-
nario of a reaction with low characteristic temperature (T,* = 1.946) and low activation energy (E* = 32.388). F’1g ure 11, therefore, represent an upper bound on experimental results. Figure lla shows that the noninsulation number, whilst relatively insensitive to the reaction exothermicity, increases significantly with decreasing thermal conductivity. Figure llb shows that the noninsulation number increases with increasing sample length. Whilst the increase is minor for a material with a high conductivity, line 1, it is considerable for materials with lower thermal conductivities, lines 2 and 3. In fact for lines 2 and 3 the increase in the critical heat flux due to nonperfect insulation is significant at our standard sample size (Y* = 1). We, therefore, conclude that nonperfect insulation can lead to significant variation amongst experimental results for materials with low thermal conductivity.
5. DISCUSSION 5.1. Physically Disjoint and Nonphysically
Disjoint Solutions
Figure 2a shows a physically disjoint solution, curve (l), a nonphysically disjoint solution, curve (a), and an ‘intrinsically nonflammable solutions’, curve (3). The implications of these structure for the risk assessment of combustible materials were discussed in Sections 4.1 and 4.2. It was emphasised that solution curve (3) is important because such materials cannot undergo large changes in their solution norm in response to small changes in the irradiance, they are not ignitable. However, Figure 2a shows that if the irradiance is sufficiently high the solution
Radiative
TC’=l.946
_
TC’&.282 TC’=M,,
----~-. .-
..
Ignition
90
35 -
30 -
1
1.5
4.5 Non~lmens~~Hlised3,,l*m,~b5ampl,
5
;I,ngth
(a) The percentage decrease in the critical heat flux (C,,) with nondimensionalised external sample length (Y*).
0 0 0.2 Nand~menswnalwd
0.4 0.6 heat-transfer cc&iiient
al? on the msulated bun&
(b) The percentage increase in the critical heat flux (ICC,*,)with the nondimensionalised heat-transfer coefficient on the insulated boundary (x;).
Figure 8. Nondimensionalised characteristic temperature, (1) 2’: = 1.946, solid line, (2) TT = 2.282, lower dashed line, (3) T: = 2.617. upper dashed line. Parameter values not specified are defined in the caption for Figure 1.
norm for an ‘intrinsically nonflammable’ material may be higher than that for a flammable material. Although the material represented by curve (3) has not undergone any recognisable ignition event it must be considered as undergoing combustion for sufficiently large values of the irrsdiance. This may raises doubts about the accuracy of classifying risk assessment based purely upon the structure of the steady-state curves. In Figure 2a, the value of the nondimensionalised irradiance at which curves (1) & (3’) inAs a room tersect is C* - 190. In dimensional terms this corresponds to L N 1700 kWm-*. fire burning near its maximum rate can produce irradiances to walls and contents of approximately 150 k W m-* the intersection of curves (1) and (3) is not of practical importance and the distinction between the three types of steady-state curve retains its importance. In view of the calculation in the previous paragraph consider curve (2) in Figure 2s. The ignition limit point occurs at C& N 150, which in dimensionless units is C,, - 1340 k W m-*. Although the steady-state diagram is nonphysically disjoint, so that there is a potential hazard, we conclude that in practice such a material does not pose a critical storage risk. The critical heat flux for mat,erial (2) shows that assessments of risk based purely upon the steady-state structure, Figures 3 and 4, may over-estimate the potential fire hazard. If the maximum irradianct? in a given fire scenario can be calculated then it can be used to produce a more practical classification of materials; into ‘flammable’ and ‘potentially nonflammable’. For example, it has been suggested that samples in the cone calorimeter should be tested at heat fluxes of C = 35 k W mV2 [18] (L* = 3.915), representative of typical peak heat fluxes from limited ignition sources [lQ], and 75 kW me2 [18] (C” = 8.389), rep resenting heat fluxes in a flashed-over room. One might then define the boundary between ‘flammable’ and ‘potentially nonflammable’ as critical heat fluxes of either C,, = 40 k W in-* (C& = 4.474) or C,, = 83 k W mP2 (C& = 9.284), depending upon the particular fire scenario being considered.
E. BALAKRISHNANet al.
35
40
50 63 70 80 Non-dimensionalised actttation energy
90
30 0.01
100
0.1
1
Non-dlmensionalised thermal conductivtty
(4
(b)
Figure 9. The percentage decrease in the relative length number (Lx) with: (a) nondimensionalised activation energy (E*); (b) nondimensionalised thermal conductivity (/c*). In (a), lines (1) and (2) cross at E* N 40. (a) Parameter values: nondimensionalised characteristic temperature, (1) TE; = 1.946, (2) T,* = 3.591, (3) T: = 3.624. (b) Parameter values: nondimensionalised reaction exothermicity, (1) @ = 2.502, (2) Q = 2.502 x lo-‘, (3) @ = 2.502 x 10e2. Parameter values not specified are defined in the caption for Figure 1.
5.2.
The
Dependence
of the
In view of the discussion
Critical
in Section
Heat
Flux
Upon
5.1 it is instructive
Material
Properties
to view Figures
5-7 with
respective
to a classification of materials into ‘flammable’ and ‘potentially nonflammable’. Considering the lower criterion, LE, = 4.474, the only materials that pass this test are found in Figure 6b. From this perspective, the majority of the ‘materials’ represented in Figures 5-7 would be classified as flammable. Figure 5a, 6b, and 7b show that the characteristic temperature is a good indication of fire hazard since increasing characteristic temperature corresponds to decreasing flammability, this trend also occurs in Figure 3. The dependence of the critical heat flux upon characteristic temperature is particular pronounced at low exothermicity, Figure 6b. However, at fixed characteristic temperature, the activation energy is not a good predictor of flammability. Although the critical transition temperatures increase with increasing activation energy, Figure 3, the critical heat flux may either increase or decrease with increasing activation energy, Figures 5b and 6a. Similar behaviour has been exhibited in a critical mass flux model for the ignition of thermally thin thermoplastics [20]. The reaction exothermicity for any material is a constant, determined purely by its chemistry. However, the ‘effective’ reaction exothermicity can be reduced by preparing test samples in which the combustible material is diluted with varying amounts of an inert substance-a process that is used frequently to reduce the flammability of combustible materials. Consequently, the use of reaction exothermicity as a secondary bifurcation parameter to unfold the ignition limit point can be seen as a crude model of the effect of dilution. Figure 6 then has the interpretation that
Radiative
Ignition
193
\
\
(1)
\
\
\
(2)
\
(3)
81.9
2 2.1 22 Nond~mensionalmd
2.3 2.4 charactenstii
2.5 2.6 temperature
2.7
40
50 60 Non-d~mensionalnsed
(a)
70 actvatm
80 energy
90
-
(b)
Figure 10. The percentage increase in the noninsulation number (C,) with: (a) the nondimensionalised characteristic temperature (7”); (b) the nondimensionalised activation energy (E’). (a) Parameter values: nondimensionalised activation energy, (1) E* = 32.288, (2) E* = 64.576, (3) E’ = 96.864; (b) Parameter values: nondimensionalised characteristic temperature, (1) T,* = 1.946. (2) T,* = 2.282, (3) T,” = 2.617. Parameter values not specified are defined in the caption for Figure 1.
the relative flammability ranking of a group of combustible materials may change as they are diluted. In particular, low activation energy materials become more flammable, relative to high activation energy materials, at low exothermicities. 5.3.
The Dependence
In the classic combustion
of the Critical
problem
Heat
an insulated
Flux Upon
boundary
Experimental
condition
Conditions
is used for the slab because
the solution is symmetric about its centre [l]. In Figures 2-7, we assumed that the rear-boundary of the sample was perfectly insulated because this is the aim of the experimental methodologies that we are considering. In Figures 8b, 10, and 11, we modelled nonperfect insulation by a simple heat-transfer coefficient. Figure 11 shows that nonideality in the boundary condition has a very pronounced effect on the critical heat flux for materials with a low thermal-conductivit,y. An alternative formulation of the boundary condition at the rear-end of the sample is to heat-transfer. This combine fully convective heat-transfer (~2 = x1, x; = 1) with radiative models an experiment, or a specific fire scenario, in which the rear-end of the sample is exposed to the same atmosphere as the front-end, with the external irradiance heating only the front-end. We do not address the issue of whether it is better to investigate flammability experimentally though eit,her an insulated rear-boundary or an open rear-boundary. To some extent this d.epends upon the eventual application of the material. When the rear-boundary is perfectly insulated the maximum temperature of the steady-state solution is found at CE*= 1. When the rear-boundary is imperfectly insulated the location of the maximum temperature moves into the interior of the sample. We have not shown the locality of the maximum as it is not important for our work.
E. BALAKRISHNANet al
194
S .E
.E t .-e
z L !?
40 -
EGO-
%a B g @ d
60 -
xlp”
20 -
0 0.01
0
i
1
0.1 .’ Non-dimensionalsed thermal condwtwty
2 2.5 3.5 sarrpletngth 1.5 Nondimensionalised3external
4.5
5
PI
(a)
Figure 11. The percentage increase in the noninsulation number (13,) with: (a) the nondimensional&d thermal conductivity (k’); (b) the nondimensionalised external sample length (Y”). (a) P arameter values: nondimensionalised reaction exothermicity, (1) @ = 2.502, (2) @ = 2.502~ 10-l, (3) @ = 2.502 X 10e2. (b) Parameter values: nondimensionalised thermal conductivity, (1) k’ = 3.333, (2) k* = 3.333 x lo-‘, (3) k” = 3.333 x 10d2. Parameter values not specified are defined in the caption for Figure 1.
6. CONCLUSION We have considered is exposed
the critical
to an external
radiation
storage source,
problem viewing
for a self-heating the irradiance
combustible
material
as the primary
that
bifurcation
parameter. We have shown that such experiments are equivalent to the classical combustion problem where ambient temperature is regarded as the primary bifurcation parameter. In nondimensionalising
our problem,
we have retained
physical
and chemical
constants
terest as distinct bifurcation parameters. Consequently, we have been able to directly the effect of material properties upon the critical heat flux.
of in-
investigate
Steady-state curves have been found which exhibit no two or four limit points. The first of Response curves with two or four these corresponds to an ‘intrinsically nonflammable material’. limit point are classified as being either physically disjoint or nonphysically disjoint depending upon if the extinction limit point is in the left-half or right-half plane. The three solution types, ‘intrinsically nonflammable’, physically disjoint and nonphysically disjoint, correspond to materials with fundamentally different flammability characteristics. It has been shown that the critical heat flux for materials with low thermal conductivity is particularly sensitive to nonperfect insulation on the rear-boundary.
REFERENCES 1. D.A. Frank-Kamenetskii, Diffusion and Heat Exchange in Chemical Kinetics, First Edition, Princeton versity Press, (1955). 2. P.C. Bowes, Self-Heating: Evaluating and Controlling the Hazards, Elsevier, Amsterdam, (1984).
Uni-
Radiative
Ignition
195
3. V. 13abrauskas. Development of Cone Calorimeter-A Benchscale Heat Release Rate Apparatus Bused on the Oxygen Consumption, NBSIR 82-2611, National Bureau of Standards, Washington, DC. (1982). 4. V. Babrauskas, Development of the cone calorimeter--A bench scale heat release rate apparatus based on oxygen consumption, Fire and Materials 8 (2), 81-95, (1984). 5. \‘. Babrauskas and W.J. Parker, Ignitabzlity Measurements ~sth tire Cone Calorimeter. NBSIR X6-3445. Nat ional Bureau of Standards, Gathersburg, MD. (1986). 6. 1’. Babrauskas and W.J. Parker, Ignitability meaSurements with the cone calorimeter. Pirc crnd A,fate?~ls 11. 31-43, (1987). 7. 1’. Balakrishnan, M.I. Nelson and G.C. Wake. Radiative ignition of combustible materials II. Ptrlynrrric tnaterials undergoing nonflaming thermal degradation--The critical assembly problem, (In preparat,ion). 8. t3.1,‘.Gray and M.J. Roberts, Analysis of chemical kinetic systems over the entire parameler space 1. The Sal’nikov thermokinetic oscillator, Proceedings of the Royal Society A 416, 391&402. (1988) 9. 13.1:. Gray and G.C. Wake, On the determination of critical ambient temperatures and critial init.ial ten perattires for thermal ignition, Combustion and Flame 71, 101-104, (1988). 10. .I.(:. Burnell, J.G. Graham-Eagle. B.F. Gray and GC. Wake. Determination of critical ambient tcrnpcr;~turc for thermal ignition. IMA Journal of Applred Mathematics 42, 147- 154. (1989). 11. B.F. Gray. J.H. Merkin and G.C. Wake, Disjoint bifurcation diagrams in combustion systems. Mnthl. C,‘on~p~~f. Modelling 15 (II). 25-33, (1991). 12. 11.1. Nelson, Ignition mechanisms of thermally thin thermoplastics in the cone ralorimctci. Ploceedangs of (hi Royal Society A 454, 789-814, (1998). 13. ‘l’. IIatakeyama and F.X. Quinn: Thermal Analyszs: Fundamentals und Appl~uztions to l’olyrrsw- Sczence. .lohn Wiley & Sons, (1994). 14. AF. Breazeale. Wire and cable performance as determined by a cone calorimeter. In Proceedings of the 37”’ ~nternatianal Wire and Cable Symposium, pp. 536-542, (November 1988). 15. E. htikkola and I.S. WYchman, On the thermal ignition of combustible materials. FVY nrad Al~itersals 14. 87-96, (1989). 16. B A.L. Ostman and L.D. Tsantaridis, Ignitability in the cone calorimeter and the IS0 Ignitability ‘l&t. In Proceedin.gs of Interj%m 90, pp. 175-182. (1990). 17. E. Doedel, ?(. Wang and T. Fairgrieve. AUTO 94 Software for continuation and bifurcation proble,ns in ordinary differemial equations, In Applied Mathematrcs Report. California Institute of Technology. Pasadena. CA, (1994). 18 R.H. Whiteley, Some comments on the measurement of ignitability and on the calculation of ‘critical heat Hux’, Fire Sufaty Journal 21, 177-183, (1993). 19 \s’. Babrauskas and W.J. Parker, Ignitability measurements with the cone calorimeter. F’c~c (end &fn:eria/s 11. 31-43, (1987). Nl3S Monograph, \‘olume 173, 20. \‘. Babrauskas and J.F. Krasny, Fire Behawzow of Upholstered Fwnitwe. (US) National Nureau of Standards, (1985). 21. hI.1. Nelson, .I. Brindley and A.C. McIntosh. The dependence of critical heat flux on fuel and additive propertics: A critical mass flux model, I;‘ire Safety Journal 24 (2). 107- 130, (1995).