Partial Differential Equations for Heat Conduction Analysis of Frozen Layer Shifting
HITACHI Analog-eHybrid Computer
Technical Information Series No.11
Partial Differential Equations
for Heat Conduction Analysis
of Frozen Layer Shifting.
1969
Hitachi, Ltd.
Partial Differential Equations for Heat Conduction
Analysis of Frozen Layer Shifting
In analyzing partial differential equations for heat conduction on the analog computer,
the boundary face between two different substances has been usually assumed not to shift.
In the present example, however, since temperature distribution in the process of freezing
is expressed as a function of time, the boundary face between frozen and non-frozen layer
is unintentionally displaced with time, presenting a very interesting way of analysis by the
analog computer.
1. Physical Conditions
In the process of freezing, in which the frozen layer proceeds with time, shifting
of the boundary face between frozen and non-frozen layers occurs, and the position of
boundary face and temperature distribution are sought for as a function of time. In
this case, heat conduction is assumed to occur unidirectionally.
éti
a0. kK
Ote _
ge Ke
O2ti
1 0 xX?
a2 te
fe)
Initial conditions
For
where
6=0;
At
(o<x<) (1)
(@< x) (2)
Froze
Heat flux.
Hi
ti =te =Q; (3)
0 (4)
<t Fig. 1
, 6
Hi @ pe - ow tart; j
at at py 98
“Oy a nr
t; =te -Oo
te =C,
thermal conductivity of ice
thermal conductivity of water
specific heat of ice
specific heat of water
density of ice
density of water
initial temperature
atmospheric temperature
thermal conduction coefficient of air
heat of fusion
heat of fusion
time
temperature of frozen laver
temperature of non-frozen laver
distance from the surface of frozen
layer to the boundary face
thermal diffusibility of ice
thermal diffusibility of water
heat density
distance from the surface of frozen
layer
n tayer Non-frozen layer
te ix, &
1.05 Keal/m hr °C
0.344 Keal/m hr°C
0.475 Keal/kg °C
0, 889 Keal/kg °C
980 kg/m?
1,020 kg/m?
+3,9°C
-20°C
5.3 Keal/m? hr °C
65.2 Keal/kg
80.0 Keal/kg
hr
°C
°C
Keal/m?
m
The freezing conditions are assumed as follows: the medium is in contact with the
atmosphere of temperature -20°C and infinitely large heat capacity, and convection in
the water phase is neglected.
2.
Conversion
In the equation of heat conduction
at art (9)
a6 K@x2
. a
putting Kap (10)
at azt
PCp a6 =A 9 x2 (11)
Let us consider freezing process in unit area,
Heat contained in unit volume is
Q=OCpt (12)
Putting (12) into (11),
2 t
ao or) (13)
Assume that the medium to be frozen, with thickness L, is divided into n | parts,
and the average temperature of each partis ti, tis, tis ccc -tin
If each part has volume dV (= dx x1 m7’), heat Qn contained in dv is
Qn=f Ope tin dv DAtin
(14)
if the part is pure water and
Qn=A, Cp, tin dv- 65.2Cor 80.0 )x dv, (15)
if the part is of pure ice.
--80. 0x 1000dV
In order to avcid comolication in cealeulation, oT sa. Tadody’
volume incrés Suet freesiv gg ta ce zlectes, rT ; Qn
and heat con ae : - Ff fs
regarded to pe 7.
From Eqs. (l4) a0i 010, 00 ts nl tte: .
against Q as shown in Fis. 2
P. Cp, dV
If Eq. (13) is converted to a difference
equation,
Fig. 2 The relationship
dQi _ A ai), +t), 16) between Qn and (4t)n
Since |t|< 207, so|(At)| max<20 x L0 5. (At)i
Taking a favorable scale factor, the computer variable is set to [ 40
It is easily understood that the maximum of | Qi] does not exceed 10‘ Kcal/dV if the
width of the partition range is set to 0.1 m.
Hence, the equation after scaling becomes as in (17).
1 dQi A -
& na = othe {CR iti, (Adi (Atdicd a (17)
In order to obtain a sopresentation compatible with the machine units of the com-
puter, the graph of Fig. 2 is changed to that of Fig. 3.
EAL i/40
The boundary condition is, at x = 0,
at — ta27tia
(Shoko BE D . ae
Slope=p, Gp, dV xqqg7 0 948
Putting (18) into (5), "
yj, $422 t 1 La cta-t,) (19) — —0.652 N—0. 800
dx r Qi A0*
or htat A, ty “dx
= 2
rE fax +h 20) @
10* Ar _
Slope=jop¢ ayo 64
Accordingly, "
A
ih bs aan x A, xti Ss
Ay hta 4 Ay “ax 4 CAt)2 Fic.3 Th lati hi
40a, “dxth) (A, “ax*t ) 40 ig. e relationship between Qn and
; (At)n in accordance with machine
Ati ~5775 , 105 (At )e (21) unit representation (dV = 0.1 m*)
40 . 32 16 40)
Operation of Analog Computer
Although the accuracy is much improved by dividing the range as finely as possible
in handling such difference equations as mentioned in the above, in the present experi-
ment, a water depth of 0.8 m is equally divided into 8 steps at 0.1m intervals, ap-
proximating the total range with 7 difference equations and an algebraic equation.
There are two ways of setting boundary conditions at x = Lm,
t = const.
at
ax = 0
and
The latter means that a perfectly insulating wall is placed at x = L, which may be
a good approximation if the wall is regarded as constituting a part of the refrigerating
chamber. However, the former has more practical significance as an approximation
for infinite water depth. Anyway, the more the range is divided, the less error between
different ways of approximation. In the present report, attention was focused on how
the solution waveform is affected by the way of setting boundary conditions Equations.
(At), — 3.775 10.5 (Ate 22
yo 32 7 716 * 40 (22)
Do de 40 (hte 5g Ate CA! (23)
10° d4 betcdx 3 $0 - 40 $0 °
1 dQ _ 40 Cts 5 tds os ets (24)
10* d¢6 10% dx)° 4 Ty bo
_1 dQ _ 40 ! Cat is yet 4 Cate (25)
16 dé 10°(dx)?) 49 ~ 40 10
1 dQs _ 40 (hts 5 Cats , Cats |
ivf dg. 10%dx) | ra 2 (26)
d 40 At 5 (At) (At)
vriy ~ cree [at ~ +99 |} (27
1 dQ _ 40 Cats 5 (At , CAtdo |
itt} de tis | 40 or rr <r (28)
i od 40 At At (At)
7 i = sate et a i (29)
-3-
at
The last equation should be replaced for the boundary condition (Fx)
1 dQs __ 40 CAt)o _CAt)s
10° dg 10%d x)? 40 10
CAt)o 1 t 2 7
a0 =-3 Ag x bie Fy X 0:344x3.9= 0.0336
(41) i = (Qi) (The function form is shown in Fig. 3.)
=9 with
x=L
(29')
(30)
(31)
The results obtained by analyzing these equations are illustrated in Figs. 4 — 7.
It should be noted that considerable differences occur depending upon the boundary
conditions.
As is clear from the fact that the boundary conditions affect the solution
less at the vicinity of the surface, it may be supposed that the more the range is
divided, the less error due to difference in boundary conditions.
+4°C
@t =3.9C at x =0.8m
@Heat of fusion 65.2Kcal kg
0.7m
=)
ol
+47
200hr 9 gm 250hr
150hr wi
0.5m
0.4m
Temperature transition with sentn as cori
a
@ Stig at x =0.8m
ax
@) Heat of fusion
: 65. 2Kcal /kg
— 20°C)
Fig. 5
Temperature transition with depth as parameter
~4-
@ +t =3.9°C at x =0.8m
@ Heat of fusion : 80.0Keal/kg
+4t
0.7m
0 50hr 100hr \_ 10h 0.6m 200hr ————— 250hr
0.5m
~° 0.4m
0.3m
—10 0.2m
0.1m
-15 @Depth om
— 200
Fig.6 Temperature transition with depth as parameter
at
t D gy 0 at x =0.8m
+4°C ~ @ Heat of fusion : 80.0Kcal.kg
SS btm
0 50hr 100hr\ 9 Gm | 150hr 200hr 250hr
0.5m
~ 0.4m
0.3m
~10> 0.2m
0.1m
@ Depth
154 Om
—20°C 5
Fig.7 Temperature transition with depth as parameter
1 Heat of fusion : &80Kcal ke. 7. at x =0.8m
250hr
—20°C
Fig.8 Temperature distribution with time as parameter
-5-
at
pb— ax ° at x =0.8m
@e----- t =3.9C at x =0.8m
0.7 F @ Heat of fusion65.2kcal/kg, eT
°° c= QO
ms Ez a : @ Heat of fusion&0. Okeal kg
0.3} ta
0.2
0.1
( 6
0 50hr 100hr 150hr 200hr
Fig.9 Displacement of boundary face
4. Discussion
(1)
(3)
In the present experiment, the point of 0.8 m depth was always held either ata
temperature of 3.9°C or at temperature gradient 0, for computing temperature
changes at points of 0~0.7 m depth. These data, however, are not restricted
to the 0.8 m boundary, depending upon time scale keeping operation. For instance,
temperature transition at 1 m depth obtained by setting 0.8 m depth at 3,9°C can
be read as that »t 1 m depth obtained by keeping 8 m depth at 3.9°C, if the time
axis is compressed 1/10 times.
Since the data »presentec here are obtained by approximation with division-in-8,
the solution waveforms taxe a stepwise transition, differing considerably from
those expected on — foorystieal phenomena. This is inevitable so long as
approximation is mace us Denne, anc in order to obtain smooth
curves, approximatio: s aan easing the number of divisions,
However, when finer civisi- - tne
error may be augmentec cor x5 setting
potentiometers. It seems ces oS ivis as lar ge as the
computer capacity permits, irrespe tiv. of teratiinal errors, when the partial
differential equations are analvzec.
The displacement of the boundary be. = and water is plotted as a function
of time in Fig.9, in which the curves present some disaccord depending upon the
boundary conditions approximating infinite deoth, while they agree fairly well
with each other in time shorter than 30 =rs. This is also ascribed to the problem
of division number stated in (2): the larger the number of divisions, the less error
due to boundary condition setting. In this analysis, displacement of boundary
layers within the same section is not taken into consideration.
This computation was executed in response to a request from the Engineering
Faculty, Kanazawa University. The model employed was HITACHI 505 High
Precision Analog Computer. If potentiometers are saved as much as possible,
the necessary composition is as follows:
Integrating amplifier 7
Summing amplifier 9
Sign changer 16
Potentiometer 20
Dead zone unit 7
Diode 16
<b
0.180 40
—REF
40
10*(dx)?2
__ 80 Q,
2 04
(Able 10M dee 10
40° Lo,
40
10° (dx)?
_ Ct),
40
0*idx)?s
80 _ Odds
40
(At) 10* (dx)? A 5
“a0 OU
40
(ans. lOrtaxB
40
Ys
40
80 LAL, — (Ate
(Abe 10* (dx)? 40 1
80
Gb, 10*(dx)?2
40° VV 1
40
ADs 10% dxl?p
~~ 40
At);
40
80
(At) 10*(dx)?8 -~\
0 C-
40
(At), 10*(dx)#2
~ 40
PCpzto
10°
—REF
B: time scale factor( =0.4)
Fig. 10 Block Diagram
a: time scale factor (=0. 4)