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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 48
THERMODYNAMIC BEHAVIOR OF TETRAHYDROFURON IN
P-DIOXANE, METHYLCYCLOHEXANE AND CYCLOHEXANOL
S.G.Goswami1
, O.P.Chimankar2
1
Department of Physics, S.M.M College of science Nagpur
2
Department of Physics, RTM Nagpur university, Nagpur 440033
Abstract
The liquid state is intermediate in its properties of solid and gas. There are many attempt to develop a theory of liquid state are
based on simple consideration of molecular behaving like hard sphere having attractive forces as perturbative forces. The
equation of state for Lenard Jones fluid has been derived in the formation an expression for work, obtained from partition
function through perturbation approach and found faithful reproduction of ultrasonic velocity and density data , theoretically at
the given temperature. It has been applied to the binary liquid mixtures of tetrahydrofuron in p-dioxane methylcyclohexane and
cyclohexanol. There is a close agreement with experimental values. The thermodynamic picture build up in this formulation could
be considered as a good representation of molecular cluster in liquid state.
Keywords: Ultrasonic velocity, tetrahydrofuron, p-dioxane, methylcyclohexane, cyclohexanol, adiabatic
compressibility, molar volume
--------------------------------------------------------------------***-----------------------------------------------------------------
1. INTRODUCTION
A large majority of liquid is complex and consists of
polyatomic nonsperical molecule in which same additional
molecular forces exist. Various equation of state [1-3] for
hard sphere fluids have came forward. Bhatti [4] has
reported ultrasonic investigation on acoustical parameters of
liquid on a hard sphere model; Sharma [5] tested the validity
of an equation of state for real fluids and several expressions
for the various acoustical parameters to relate them with
Gruneisen parameters. Gopalrao [6] formulate and equation
of state for square well fluid and derive same
thermodynamic parameters for it by extending Flory’s [7]
equation to mixture of unrelated type of molecules. Khasare
[8-9] modified an equation of state; it has been observed that
Khasare’s theory is the extension perturbation theories of
the past. The equation of state for Lenard Jones fluid has
been derived in the formation an expression for work,
obtained from partition function through perturbation
approach and found faithful reproduction of ultrasonic
velocity and density data, theoretically at the given
temperature. The thermodynamic properties of liquids are
intimately related to the intermolecular forces [10-11]. This
dependence can be used for precise understanding of
molecular cluster in the light of Lennard-Jones potential
parameters. These parameters shows the attractive and
repulsive forces resulting in strong and weak association
[12]. The present paper report the results for application of
the approach based on Khasare’s model equation of state to
the binary liquid mixture of tetrahydrofuron in p-dioxane,
methylcyclohexane and cyclohexanol.
2. THEORETICAL AND COMPUTATIONAL
APPROACH
Khasare’s theory is two scaling parameter model i.e.hard
core diameter and depth of potential, the choice of the
perturbing potential decides the nature of molecular
interaction in binary liquid mixture. The earlier partition
theories used an approach on obtaining expression of free
energy functions. This faced with different problems
divergency and convergency and as such could not give
better result. Better result could only be obtained when
second order perturbation were applied. The deciding factor
has been the level at which perturbation is applied.
Khasare’s [13-15] approach deals with the work done
defined in scaled particle theory reference frame and
expanding the work function using perturbation technique.
The single order perturbation is found to be suitable for
obtaining best result. The most important aspect of
Khasare’s theory is its provision of concentration
dependence effect on basic parameter and therefore it is
capable of predicting thermodynamic parameter i.e.
ultrasonic velocity and density simultaneously for logical
input parameter. The relation outlined are found to give
transformation of thermodynamic data to interaction
potential energy parameter, this transformation could be
considered as applicable to construct of molecule cluster.
Using describe model of equation of state corresponding to
an assumed potential. The experimental data , i.e. Ultrasonic
velocity, density and thermal expansion coefficient bare
used with a suitable choice for the hard sphere diameter of a
molecule or molecule aggregates in a pure liquid and a
binary liquid mixture. Starting with a one mole of a real
fluid as working substance the equation of state is written as,
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 49
𝛽𝑃
𝜌
=
1
(1−𝑛)
+
3𝐸𝑛
(1−𝑛)²
+
3𝐹𝑛²
(1−𝑛)³
+
𝑊
𝑛
[n +log(1- n)]
And thermodynamic relation yield the following set of
equation,
𝑀𝑢²
𝛶𝑅𝑇
=
{1+6𝐸
𝑛
1−𝑛
+9𝐹
𝑛
1−𝑛
2
}
(1−𝑛)
-
𝑊𝑁
(1−𝑛)
αt =
1
1−𝑛
+
3𝐸𝑛
(1−𝑛)²
+
3𝐹𝑛 ²
(1−𝑛)²
𝑀𝑢 ²
𝛶𝑅𝑇
Where
𝚼=1+
𝑅
𝐶𝘗
(αt)²
𝑀𝑢²
𝑅𝑇
, α=
1
𝑉
{
𝑑𝑣
𝑑𝑇
}
E=
3𝑦₁𝑦₂
𝑦₃
, F=
3𝑦³₂
𝑦²₃
, G= 𝑋𝑗(4𝛽𝜀𝑗)
4𝜋𝑅𝑗 ³
3
3
𝑗=1
W=
𝐺
𝑔𝑦₃
, yn= 𝑋𝑗𝑅𝑗ⁿ2
𝑗=1 , g=
4𝜋
3
, 𝛔=Rj ,
n= g𝛒y₃ , 𝛒=
𝑁
𝑉
, Xj=
𝑁𝑗
𝑁
= mole fraction ,
For calculating the molecular cluster size, one has to assume
that, 𝜆-monomers from homomolecular cluster. These may
be assumed, in a first order of approximation to have
analogues. Molecular weight which is 𝜆-times the molar
volume for a cluster, and thus 𝜆-times the specific heat at
constant pressure at monomer. However the density does not
depend upon the scaling factor 𝜆 as,
Density=
𝝀 𝒎𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝒘𝒆𝒊𝒈𝒉𝒕 𝒐𝒇 𝒎𝒐𝒏𝒐𝒎𝒆𝒓
𝝀 𝒎𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝒗𝒐𝒍𝒖𝒎𝒆 𝒐𝒇 𝒎𝒐𝒏𝒐𝒎𝒆𝒓
The observed thermodynamic parameters such as
𝑀𝑢²
𝛶𝑅𝑇
𝑎𝑛𝑑
𝑀𝑢²𝛼𝑇
𝛶𝑅𝑇
of two components in the binary mixture has
been given as input data to calculate the value of potential
parameter 𝛔₁,𝛆₁,and 𝛔₂,𝛆₂ for the two component liquids .
The only variable factor is the assumed molecular weight in
the liquid state. In case the value of 𝛆 turns out to be
negative, then one has to use an integral
value of molecular weight such that 𝛆 become positive . In a
liquid mixture the parameters for one component liquid
molecule are perturbed in the presence of other component.
Hence the corrections are applied in the form of the
following set of equations, employing minimum number of
interaction parameter .
V₁ͨ=V₁[1+α₁X(1-X)] , [Cͨ P ]₁ = [CP ]₁[1+d₂x(1-x)]
𝛔ͨ₁=𝛔₁[1+b₁x(1-x)], 𝛆ͨ₁=𝛆₁[1+c₁x(1-x)]
V₂ͨ=V₂[1+α₂X(1-X)], [Cͨ P ]₂= [CP ] [1+d₂x(1-x)]
𝛔₂ͨ= 𝛔₂[1+b₂x(1-x)], 𝛆ͨ₂=𝛆₂[1+c₂x(1-x)]
And, V=x₁V₁ͨ+X₂V₂ͨ
V= (1-X)V₁+X₂V₂+(1-X)x[A+Bx]
x₁=1-x ; X₂=x ; q₂=
𝐴
𝑉₁
; a₁=
(𝐴+𝐵)
𝑉₂
Where the subscript 1,2 denote the component molecules in
the binary liquid mixtures ,and a, b, c and d are the
minimum numbers of interaction parameters in the mixture
corresponding to molar volume V, a hard core diameter 𝛔 , a
depth of minimum potential 𝛆, and specific heat CP
respectively while x is the mole fraction .These corrected
values of interaction parameters have been used to generate
thermodynamic parameters in pure liquids & binary liquid
mixture .In case the calculated value do not match with
those of experimental ones , then one had to change the
value of molecular weight by selecting the value of scaling
factor 𝜆 in equation (A) the integral value of 𝜆 denote the
state of molecule , namely monomeric , dimeric , trimetric
etc. A computer program developed to generate theoretical
thermodynamic parameters for very small concentration
ranges to 0.1 to 0.2, 0.2 to 0.3, 0.3 to 0.4,…0.9 to 1.0 of the
two pure liquid component in a given binary liquid mixture
of the two liquids.
3. EXPERIMENTAL DETAILS
The experimental data evolved in the laboratory was used
for the present theoretical investigation. The liquid of
tetrahydrofuron, cyclohexane , methylcyclohexane and
methyl alcohol were analar grade & redistilled before use
The binary mixture of different mole fraction of two
components in system tetrahydrofuron -p-dioxane, ,
tetrahydrofuron – methylcyclohexane, tetrahydrofuron-
cyclohexanol where prepared Immediately before use. The
velocity of ultrasonic waves (u) at a frequency of 2MHz and
density (𝛒) in these binary liquids mixtures were measured
by employing Ultrasonic interferometer and the hydrostatic
sinker method in the temperature range 10-40⁰C and ultra
Thermostate U-10 min of the samples constant to 0.1⁰C.
The accuracy of one part in 10⁴ in the velocity and one part
in 10⁴ in the density measurement is achieved.The variation
of u and 𝛒 in this mixtures were found to be linear with the
temperature and hence method of least squares was applied
and the values of u and 𝛒 at different temperatures were
calculated from the equation
u=u₀+[𝑑𝑢 𝑑𝑇] T=0 .T, =𝛒₀+ 𝑑𝜌 𝑑𝑇 T=0 .T
The Cp value used for the calculation were taken from the
literature [16-19]
4. RESULTS OF THEORETICAL
INVESTIGATION
The result of ultrasonic velocity(U) density(𝛒) depth of
minimum potential for the mixture (β𝛆AB) the depth of
minimum potential of liquid component A presence of
liquid component B (β𝛆AA) , the depth of minimum potential
of liquid component B in presence of liquid component A
(β𝛆BB) the hard sphere diameter of liquid component A in
presence of liquid component B (𝛔AA) the hard sphere
diameter of component B in presence of liquid A(𝛔BB) and
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 50
the packing fraction (n) at temperature 303.15⁰K employing
the Khasare’s theory on the basis of model equation of state
for fluid mixture have been presented in table 1,2,and 3 for
the respective binary liquid mixture system the value of
experimental velocities and densities of these binary liquid
mixture system have also been presented in table 1,2,and 3
for comparison with theoretically evaluate values at same
temperature while the value of u & 𝛒 are obtained at mole
fraction ratio of 0.1,0.2,0.3……1.0 the value parameter
β𝛆AB, β𝛆AA, 𝛔AA , 𝛔BB have been obtained at mole fraction
0.05 ,0.15,0.25………..0.95 respectively the input parameter
required for evaluating above thermodynamic data has been
given in table 4.The variation of β𝛆AB ,β𝛆AA, 𝛔AA , 𝛔BB
verses molar concentration of two liquid component (Cm) in
binary liquid mixture has been graphically presented in Fig
1 to 9.
4.1 Tetrahydrofuron + p-dioxane
In the system tetrehydrofuron +p-dioxane through THF is
known to be more associative , the variation of potential
parameter ( Fig1-3) versus Cm in this mixture shows almost
negligible molecular interaction between two molecules, this
may be due to strength of homomolecular i.e. AA,BB and
heteromolecular AB interaction being almost equal . A peak
in β𝛆AA , 𝛔AA and deep in β𝛆BB , 𝛔BB would therefore
indicate a partial loosening of p-dioxane cluster and THF
molecules being consoled in the enlarge p-dioxane clusters.
4.2 Tetrahyderofuron+ methylcyclohexane and
Tetrahyderofuron + cyclohexanol
The variation of potential parameter versus Cm ( Fig 4-9)
shows the presence of homomolecular AB interaction in this
mixture. It appears that the volumes of the mixtures are
mainly controlled by the volumes of the methylcyclohexane
and cyclohexanol molecules which are appreciably larger as
compared to those of tetrahyderofuron molecules it is worth
while noting that the charge density in the ring decreases in
the order methylcyclohexane and cyclohyexanol . Thus this
shows that AB interaction may be due to a ring –ring
interaction only.
Fig 1: variation of β𝛆AA & β𝛆BB versus Cm in
Tetrahydrofuron+p-dioxane
Fig 2: variation of 𝛔AA & 𝛔BB versus Cm in
Tetrahydrofuron+p-dioxane
Fig 3: variation of β𝛆AB & η versus Cm in
Tetrahydrofuron+p-dioxane
Fig 4: variation of β𝛆AA & β𝛆BB versus Cm in
Tetrahydrofuron+methylcyclohexane
Fig 5: variation of 𝛔AA & 𝛔BB versus Cm in
Tetrahydrofuron+methylcyclohexane
4.98
5.04
5.1
5.16
5.22
5.28
5.34
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
σAA
σBB
38
40
42
44
46
48
50
52
54
56
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
βεAB
ηX10¯²
33
35
37
39
41
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
βεAA
βεBB
4.7
4.9
5.1
5.3
5.5
5.7
5.9
6.1
6.3
6.5
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
σAA
σBB37
38
39
40
41
42
43
44
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
βεAA
βεBB
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 51
Fig 6: variation of β𝛆AB & η versus Cm in
Tetrahydrofuron+methylcyclohexane
Fig 7: variation of β𝛆AA & β𝛆BB versus Cm in
Tetrahydrofuron+cyclohexane
Fig 8: variation of 𝛔AA & 𝛔BB versus Cm in
Tetrahydrofuron+cyclohexane
Fig 9: variation of β𝛆AB & η versus Cm in
Tetrahydrofuron+cyclohexane
Table 1: the values of experimentally measured u.s.velocity
[uexpt] and density [𝛒expt] and theoretically calculated
parameters USBK , 𝛒SBK and corresponding reduced depth of
potential, for mixture [β𝛆AB] and individual liquid
component in presence of the other [β𝛆AA, β𝛆BB], hard
sphere diameter for the individual liquid component
molecules in presence of the other [𝛔AA, 𝛔BB] at temperature
303.15⁰K. {u x cm.sec̄ ¹;𝛒 x gm.cc̄ ¹;𝛔 x 10̄⁸cm}
Table1: Tetrahydrofuron+p-dioxane
Cm uexpt uSBK 𝛒expt 𝛒SBK β𝛆AB β𝛆AA β𝛆BB 𝛔AA 𝛔BB η
0.00 1255.2 1255.29 0.8759 0.8759
0.05 38.906 41.680 38.906 5.184 5.128 0.517
0.10 1255.2 1255.18 0.8932 0.8932
0.15 39.157 42.303 38.824 5.264 5.120 0.518
0.20 1260.4 1260.39 0.9130 0.9130
0.25 39.620 42.530 38.736 5.290 5.112 0.521
0.30 1265.6 1265.60 0.9261 0.9261
0.35 39.996 43.234 38.381 5.292 5.110 0.524
0.40 1275.9 1275.91 0.9410 0.9410
0.45 40.507 42.701 38.811 5.286 5.116 0.526
0.50 1280.3 1280.25 0.9529 0.9529
0.55 40.841 42.972 38.482 5.296 5.106 0.528
0.60 1287.6 1287.57 0.9661 0.9661
0.65 41.295 43.139 38.345 5.270 5.146 0.531
39
41
43
45
47
49
51
53
55
57
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
βεAB
ηX10¯²
27
29
31
33
35
37
39
41
43
45
47
49
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
βεAA
βεBB
4.9
5
5.1
5.2
5.3
5.4
5.5
5.6
5.7
5.8
5.9
6
6.1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
σAA
σBB
38
40
42
44
46
48
50
52
54
56
58
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
βεAB
ηx10̄¯²
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 52
0.70 1295.0 1294.99 0.9809 0.9809
0.75 41.709 43.211 38.182 5.268 5.150 0.533
0.80 1303.4 1303.41 0.9970 0.9970
0.85 42.155 43.158 38.116 5.288 5.078 0.535
0.90 1313.3 1313.31 1.0120 1.0120
0.95 42.749 43.126 38.324 5.292 5.038 0.539
1.00 1324.0 1323.61 1.0145 1.0145
Table 2: Tetrahydrofuron+methylcyclohexane
Cm uexpt uSBK �expt �SBK β�AB β�AA β�BB �AA �BB η
0.05 38.874 38.906 38.713 5.128 6.010 0.518
0.10 1236.2 1236.17 0.8553 0.8553
0.15 38.912 38.833 39.117 5.130 6.994 0.519
0.20 1223.5 1223.46 0.8424 0.8424
0.25 39.061 38.530 39.816 5.122 6.020 0.521
0.30 1212.7 1212.73 0.8266 0.8266
0.35 39.297 38.174 40.345 5.126 6.014 0.523
0.40 1205.6 1205.62 0.8144 0.8144
0.45 39.836 37.408 41.654 5.244 6.872 0.524
0.50 1206.2 1206.21 0.8157 0.8157
0.55 39.519 37.779 40.162 4.88 6.156 0.527
0.60 1196.1 1196.13 0.7920 0.7920
0.65 40.273 36.949 41.171 5.144 6.016 0.527
0.70 1191.3 1191.34 0.7813 0.7813
0.75 40.637 36.055 41.369 5.118 6.024 0.529
0.80 1188.9 1188.87 0.7728 0.7728
0.85 41.601 34.810 41.554 5.106 6.026 0.530
0.90 1188.7 1188.72 0.7662 0.7662
0.95 41.631 33.845 41.631 5.094 6.028 0.533
1.00 1189.0 1188.99 0.7560 0.7560
Table 3: Tetrahydrofuron+cyclohexanol
Cm uexpt uSBK �expt �SBK β�AB β�AA β�BB �AA �BB η
0.00 1255.2 1255.24 0.8759 0.8759
0.05 39.687 38.906 44.660 5.128 5.710 0.522
0.10 1270.1 1270.07 0.8870 0.8870
0.15 40.560 38.704 45.544 5.118 5.782 0.528
0.20 1289.5 1289.54 0.8936 0.8936
0.25 41.496 38.458 46.459 5.130 5.740 0.533
0.30 1309.2 1309.24 0.9029 0.9029
0.35 42.433 37.940 47.097 5.114 5.772 0.539
0.40 1330.5 1300.47 0.9097 0.9097
0.45 43.350 37.870 47.153 5.112 5.774 0.543
0.50 1348.4 1348.35 0.9154 0.9154
0.55 44.196 37.314 47.460 5.100 5.784 0.548
0.60 1364.5 1364.46 0.9193 0.9193
0.65 45.108 36.562 47.911 5.120 5.772 0.551
0.70 1381.6 1381.55 0.9247 0.9247
0.75 46.467 35.612 48.133 5.094 5.782 0.557
0.80 1406.5 1406.45 0.9301 0.9301
0.85 47.135 35.726 48.156 5.120 5.778 0.560
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 53
0.90 1416.9 1416.85 0.9333 0.9333
0.95 48.682 27.480 48.682 4.962 5.794 0.566
1.00 1451.5 1451.51 0.9338 0.9338
Table 4: some physical parameters (input data) for pure liquids at 303.15K
Liquids Molecular Weight Density
�Kg-m̄ ³
U.S. Velocity
m/s
β� �A⁰
Tetrahydrofuron 72.00 0.8759 1255.2 39.16 5.146
p-dioxane 88.11 1.0145 1324.0 42.85 5.291
Methylcyclohexane 98.00 0.7560 1189.0 41.41 5.575
Cyclohexanol 101.16 0.9338 1451.5 48.68 5.782
5. CONCLUSIONS
In the system tetrehydrofuron +p-dioxane shows almost
negligible molecular interaction between two molecules, this
may be due to strength of homomolecular i.e. AA, BB and
heteromolecular AB interaction being almost equal. In the
systems tetrahyderofuron+ methylcyclohexane and
Tetrahyderofuron + cyclohexanol shows the presence of
homomolecular AB interaction in this mixture may be due
to a ring –ring interaction only. The Khasare’s theory is
capable of predicting thermodynamic parameters i.e.
ultrasonic velocity and density simultaneously for logical
input parameters at different concentration in variety of
binary liquid mixtures having weak as well as strong
intermolecular AB interaction to high degree of accuracy at
a given temperature.
REFERENCES
[1]. ReissH, Frisch H & Lebowitz J L, J Chem phys31
(1959)369
[2]. Barker J A, Henderson d & Watt R O, Phys Rev Lett a,
31(1970)48.
[3]. Guha A & Mandal A K, Indian J pure & Appl Phys,
26(1988)340
[4]. Bhatti S S & Singh D P, Austica, 50(1980)29.
[5]. Sharma B K, Pramana, 14(1980)447
[6]. Gopal Rao R V & Jardar R N, Indian J Pure &Appl
Phys, 14(1976)905
[7]. Khasare S B , Indian J Pure & Appl phys
25(1987)489;29(1991)19;29(1991)547.
[8]. Khasare S B , Indian J Pure & Appl Phys,25(1987)182.
[9]. Khasare S B, Indian J Pure & Appl Phys, 26(1988)487.
[10]. Chimankar O P & Pawar,
N R, International Journal of
Research in Engineering & Technology (IJRET), Volume-
03, Issue-06, 2014
[11]. Bhandakkar V D, Chimankar O P & Pawar N R, J.
Chem Pharm Res,2 (2010), 873
[12]. Chimankar O. P., Bhandakkar V. D., Pawar N. R. and
Padole N. N., IOP Conf. Series: Material Science and
Engineering ,2012, doi:10.1088/1757-899X/42/1/ 012030
[13]. Khasare S B, Indian J Pure & Appl Phys, 29(1991)19.
[14]. Khasare S B, Indian J Pure & Appl Phys, 29(1991)547.
[15]. Khasare S B, Indian J Pure & Appl Phys, 31(1993)224.
[16]. Timmermans J, Physico-chemical constant of pure
organic compounds, Elesevier Amsterdam, 1 & 2 (1950,
1965)
[17]. Dreisbach P P , Physical properties of chemical
compounds , 1,2&3 (ed. American chemical society)
Washington D C (1955)
[18]. Ed. Dean J A, Lange’s hand of chemistry, McGraw hill
Book Company (1979)
[19]. Rao C N R, A hand book of chemistry and physics,
Affilited E W press Pvt Ltd, New Delhi (1976)

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Thermodynamic behavior of tetrahydrofuron in p dioxane, methylcyclohexane and cyclohexanol

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 48 THERMODYNAMIC BEHAVIOR OF TETRAHYDROFURON IN P-DIOXANE, METHYLCYCLOHEXANE AND CYCLOHEXANOL S.G.Goswami1 , O.P.Chimankar2 1 Department of Physics, S.M.M College of science Nagpur 2 Department of Physics, RTM Nagpur university, Nagpur 440033 Abstract The liquid state is intermediate in its properties of solid and gas. There are many attempt to develop a theory of liquid state are based on simple consideration of molecular behaving like hard sphere having attractive forces as perturbative forces. The equation of state for Lenard Jones fluid has been derived in the formation an expression for work, obtained from partition function through perturbation approach and found faithful reproduction of ultrasonic velocity and density data , theoretically at the given temperature. It has been applied to the binary liquid mixtures of tetrahydrofuron in p-dioxane methylcyclohexane and cyclohexanol. There is a close agreement with experimental values. The thermodynamic picture build up in this formulation could be considered as a good representation of molecular cluster in liquid state. Keywords: Ultrasonic velocity, tetrahydrofuron, p-dioxane, methylcyclohexane, cyclohexanol, adiabatic compressibility, molar volume --------------------------------------------------------------------***----------------------------------------------------------------- 1. INTRODUCTION A large majority of liquid is complex and consists of polyatomic nonsperical molecule in which same additional molecular forces exist. Various equation of state [1-3] for hard sphere fluids have came forward. Bhatti [4] has reported ultrasonic investigation on acoustical parameters of liquid on a hard sphere model; Sharma [5] tested the validity of an equation of state for real fluids and several expressions for the various acoustical parameters to relate them with Gruneisen parameters. Gopalrao [6] formulate and equation of state for square well fluid and derive same thermodynamic parameters for it by extending Flory’s [7] equation to mixture of unrelated type of molecules. Khasare [8-9] modified an equation of state; it has been observed that Khasare’s theory is the extension perturbation theories of the past. The equation of state for Lenard Jones fluid has been derived in the formation an expression for work, obtained from partition function through perturbation approach and found faithful reproduction of ultrasonic velocity and density data, theoretically at the given temperature. The thermodynamic properties of liquids are intimately related to the intermolecular forces [10-11]. This dependence can be used for precise understanding of molecular cluster in the light of Lennard-Jones potential parameters. These parameters shows the attractive and repulsive forces resulting in strong and weak association [12]. The present paper report the results for application of the approach based on Khasare’s model equation of state to the binary liquid mixture of tetrahydrofuron in p-dioxane, methylcyclohexane and cyclohexanol. 2. THEORETICAL AND COMPUTATIONAL APPROACH Khasare’s theory is two scaling parameter model i.e.hard core diameter and depth of potential, the choice of the perturbing potential decides the nature of molecular interaction in binary liquid mixture. The earlier partition theories used an approach on obtaining expression of free energy functions. This faced with different problems divergency and convergency and as such could not give better result. Better result could only be obtained when second order perturbation were applied. The deciding factor has been the level at which perturbation is applied. Khasare’s [13-15] approach deals with the work done defined in scaled particle theory reference frame and expanding the work function using perturbation technique. The single order perturbation is found to be suitable for obtaining best result. The most important aspect of Khasare’s theory is its provision of concentration dependence effect on basic parameter and therefore it is capable of predicting thermodynamic parameter i.e. ultrasonic velocity and density simultaneously for logical input parameter. The relation outlined are found to give transformation of thermodynamic data to interaction potential energy parameter, this transformation could be considered as applicable to construct of molecule cluster. Using describe model of equation of state corresponding to an assumed potential. The experimental data , i.e. Ultrasonic velocity, density and thermal expansion coefficient bare used with a suitable choice for the hard sphere diameter of a molecule or molecule aggregates in a pure liquid and a binary liquid mixture. Starting with a one mole of a real fluid as working substance the equation of state is written as,
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 49 𝛽𝑃 𝜌 = 1 (1−𝑛) + 3𝐸𝑛 (1−𝑛)² + 3𝐹𝑛² (1−𝑛)³ + 𝑊 𝑛 [n +log(1- n)] And thermodynamic relation yield the following set of equation, 𝑀𝑢² 𝛶𝑅𝑇 = {1+6𝐸 𝑛 1−𝑛 +9𝐹 𝑛 1−𝑛 2 } (1−𝑛) - 𝑊𝑁 (1−𝑛) αt = 1 1−𝑛 + 3𝐸𝑛 (1−𝑛)² + 3𝐹𝑛 ² (1−𝑛)² 𝑀𝑢 ² 𝛶𝑅𝑇 Where 𝚼=1+ 𝑅 𝐶𝘗 (αt)² 𝑀𝑢² 𝑅𝑇 , α= 1 𝑉 { 𝑑𝑣 𝑑𝑇 } E= 3𝑦₁𝑦₂ 𝑦₃ , F= 3𝑦³₂ 𝑦²₃ , G= 𝑋𝑗(4𝛽𝜀𝑗) 4𝜋𝑅𝑗 ³ 3 3 𝑗=1 W= 𝐺 𝑔𝑦₃ , yn= 𝑋𝑗𝑅𝑗ⁿ2 𝑗=1 , g= 4𝜋 3 , 𝛔=Rj , n= g𝛒y₃ , 𝛒= 𝑁 𝑉 , Xj= 𝑁𝑗 𝑁 = mole fraction , For calculating the molecular cluster size, one has to assume that, 𝜆-monomers from homomolecular cluster. These may be assumed, in a first order of approximation to have analogues. Molecular weight which is 𝜆-times the molar volume for a cluster, and thus 𝜆-times the specific heat at constant pressure at monomer. However the density does not depend upon the scaling factor 𝜆 as, Density= 𝝀 𝒎𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝒘𝒆𝒊𝒈𝒉𝒕 𝒐𝒇 𝒎𝒐𝒏𝒐𝒎𝒆𝒓 𝝀 𝒎𝒐𝒍𝒆𝒄𝒖𝒍𝒂𝒓 𝒗𝒐𝒍𝒖𝒎𝒆 𝒐𝒇 𝒎𝒐𝒏𝒐𝒎𝒆𝒓 The observed thermodynamic parameters such as 𝑀𝑢² 𝛶𝑅𝑇 𝑎𝑛𝑑 𝑀𝑢²𝛼𝑇 𝛶𝑅𝑇 of two components in the binary mixture has been given as input data to calculate the value of potential parameter 𝛔₁,𝛆₁,and 𝛔₂,𝛆₂ for the two component liquids . The only variable factor is the assumed molecular weight in the liquid state. In case the value of 𝛆 turns out to be negative, then one has to use an integral value of molecular weight such that 𝛆 become positive . In a liquid mixture the parameters for one component liquid molecule are perturbed in the presence of other component. Hence the corrections are applied in the form of the following set of equations, employing minimum number of interaction parameter . V₁ͨ=V₁[1+α₁X(1-X)] , [Cͨ P ]₁ = [CP ]₁[1+d₂x(1-x)] 𝛔ͨ₁=𝛔₁[1+b₁x(1-x)], 𝛆ͨ₁=𝛆₁[1+c₁x(1-x)] V₂ͨ=V₂[1+α₂X(1-X)], [Cͨ P ]₂= [CP ] [1+d₂x(1-x)] 𝛔₂ͨ= 𝛔₂[1+b₂x(1-x)], 𝛆ͨ₂=𝛆₂[1+c₂x(1-x)] And, V=x₁V₁ͨ+X₂V₂ͨ V= (1-X)V₁+X₂V₂+(1-X)x[A+Bx] x₁=1-x ; X₂=x ; q₂= 𝐴 𝑉₁ ; a₁= (𝐴+𝐵) 𝑉₂ Where the subscript 1,2 denote the component molecules in the binary liquid mixtures ,and a, b, c and d are the minimum numbers of interaction parameters in the mixture corresponding to molar volume V, a hard core diameter 𝛔 , a depth of minimum potential 𝛆, and specific heat CP respectively while x is the mole fraction .These corrected values of interaction parameters have been used to generate thermodynamic parameters in pure liquids & binary liquid mixture .In case the calculated value do not match with those of experimental ones , then one had to change the value of molecular weight by selecting the value of scaling factor 𝜆 in equation (A) the integral value of 𝜆 denote the state of molecule , namely monomeric , dimeric , trimetric etc. A computer program developed to generate theoretical thermodynamic parameters for very small concentration ranges to 0.1 to 0.2, 0.2 to 0.3, 0.3 to 0.4,…0.9 to 1.0 of the two pure liquid component in a given binary liquid mixture of the two liquids. 3. EXPERIMENTAL DETAILS The experimental data evolved in the laboratory was used for the present theoretical investigation. The liquid of tetrahydrofuron, cyclohexane , methylcyclohexane and methyl alcohol were analar grade & redistilled before use The binary mixture of different mole fraction of two components in system tetrahydrofuron -p-dioxane, , tetrahydrofuron – methylcyclohexane, tetrahydrofuron- cyclohexanol where prepared Immediately before use. The velocity of ultrasonic waves (u) at a frequency of 2MHz and density (𝛒) in these binary liquids mixtures were measured by employing Ultrasonic interferometer and the hydrostatic sinker method in the temperature range 10-40⁰C and ultra Thermostate U-10 min of the samples constant to 0.1⁰C. The accuracy of one part in 10⁴ in the velocity and one part in 10⁴ in the density measurement is achieved.The variation of u and 𝛒 in this mixtures were found to be linear with the temperature and hence method of least squares was applied and the values of u and 𝛒 at different temperatures were calculated from the equation u=u₀+[𝑑𝑢 𝑑𝑇] T=0 .T, =𝛒₀+ 𝑑𝜌 𝑑𝑇 T=0 .T The Cp value used for the calculation were taken from the literature [16-19] 4. RESULTS OF THEORETICAL INVESTIGATION The result of ultrasonic velocity(U) density(𝛒) depth of minimum potential for the mixture (β𝛆AB) the depth of minimum potential of liquid component A presence of liquid component B (β𝛆AA) , the depth of minimum potential of liquid component B in presence of liquid component A (β𝛆BB) the hard sphere diameter of liquid component A in presence of liquid component B (𝛔AA) the hard sphere diameter of component B in presence of liquid A(𝛔BB) and
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 50 the packing fraction (n) at temperature 303.15⁰K employing the Khasare’s theory on the basis of model equation of state for fluid mixture have been presented in table 1,2,and 3 for the respective binary liquid mixture system the value of experimental velocities and densities of these binary liquid mixture system have also been presented in table 1,2,and 3 for comparison with theoretically evaluate values at same temperature while the value of u & 𝛒 are obtained at mole fraction ratio of 0.1,0.2,0.3……1.0 the value parameter β𝛆AB, β𝛆AA, 𝛔AA , 𝛔BB have been obtained at mole fraction 0.05 ,0.15,0.25………..0.95 respectively the input parameter required for evaluating above thermodynamic data has been given in table 4.The variation of β𝛆AB ,β𝛆AA, 𝛔AA , 𝛔BB verses molar concentration of two liquid component (Cm) in binary liquid mixture has been graphically presented in Fig 1 to 9. 4.1 Tetrahydrofuron + p-dioxane In the system tetrehydrofuron +p-dioxane through THF is known to be more associative , the variation of potential parameter ( Fig1-3) versus Cm in this mixture shows almost negligible molecular interaction between two molecules, this may be due to strength of homomolecular i.e. AA,BB and heteromolecular AB interaction being almost equal . A peak in β𝛆AA , 𝛔AA and deep in β𝛆BB , 𝛔BB would therefore indicate a partial loosening of p-dioxane cluster and THF molecules being consoled in the enlarge p-dioxane clusters. 4.2 Tetrahyderofuron+ methylcyclohexane and Tetrahyderofuron + cyclohexanol The variation of potential parameter versus Cm ( Fig 4-9) shows the presence of homomolecular AB interaction in this mixture. It appears that the volumes of the mixtures are mainly controlled by the volumes of the methylcyclohexane and cyclohexanol molecules which are appreciably larger as compared to those of tetrahyderofuron molecules it is worth while noting that the charge density in the ring decreases in the order methylcyclohexane and cyclohyexanol . Thus this shows that AB interaction may be due to a ring –ring interaction only. Fig 1: variation of β𝛆AA & β𝛆BB versus Cm in Tetrahydrofuron+p-dioxane Fig 2: variation of 𝛔AA & 𝛔BB versus Cm in Tetrahydrofuron+p-dioxane Fig 3: variation of β𝛆AB & η versus Cm in Tetrahydrofuron+p-dioxane Fig 4: variation of β𝛆AA & β𝛆BB versus Cm in Tetrahydrofuron+methylcyclohexane Fig 5: variation of 𝛔AA & 𝛔BB versus Cm in Tetrahydrofuron+methylcyclohexane 4.98 5.04 5.1 5.16 5.22 5.28 5.34 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 σAA σBB 38 40 42 44 46 48 50 52 54 56 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 βεAB ηX10¯² 33 35 37 39 41 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 βεAA βεBB 4.7 4.9 5.1 5.3 5.5 5.7 5.9 6.1 6.3 6.5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 σAA σBB37 38 39 40 41 42 43 44 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 βεAA βεBB
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 51 Fig 6: variation of β𝛆AB & η versus Cm in Tetrahydrofuron+methylcyclohexane Fig 7: variation of β𝛆AA & β𝛆BB versus Cm in Tetrahydrofuron+cyclohexane Fig 8: variation of 𝛔AA & 𝛔BB versus Cm in Tetrahydrofuron+cyclohexane Fig 9: variation of β𝛆AB & η versus Cm in Tetrahydrofuron+cyclohexane Table 1: the values of experimentally measured u.s.velocity [uexpt] and density [𝛒expt] and theoretically calculated parameters USBK , 𝛒SBK and corresponding reduced depth of potential, for mixture [β𝛆AB] and individual liquid component in presence of the other [β𝛆AA, β𝛆BB], hard sphere diameter for the individual liquid component molecules in presence of the other [𝛔AA, 𝛔BB] at temperature 303.15⁰K. {u x cm.sec̄ ¹;𝛒 x gm.cc̄ ¹;𝛔 x 10̄⁸cm} Table1: Tetrahydrofuron+p-dioxane Cm uexpt uSBK 𝛒expt 𝛒SBK β𝛆AB β𝛆AA β𝛆BB 𝛔AA 𝛔BB η 0.00 1255.2 1255.29 0.8759 0.8759 0.05 38.906 41.680 38.906 5.184 5.128 0.517 0.10 1255.2 1255.18 0.8932 0.8932 0.15 39.157 42.303 38.824 5.264 5.120 0.518 0.20 1260.4 1260.39 0.9130 0.9130 0.25 39.620 42.530 38.736 5.290 5.112 0.521 0.30 1265.6 1265.60 0.9261 0.9261 0.35 39.996 43.234 38.381 5.292 5.110 0.524 0.40 1275.9 1275.91 0.9410 0.9410 0.45 40.507 42.701 38.811 5.286 5.116 0.526 0.50 1280.3 1280.25 0.9529 0.9529 0.55 40.841 42.972 38.482 5.296 5.106 0.528 0.60 1287.6 1287.57 0.9661 0.9661 0.65 41.295 43.139 38.345 5.270 5.146 0.531 39 41 43 45 47 49 51 53 55 57 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 βεAB ηX10¯² 27 29 31 33 35 37 39 41 43 45 47 49 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 βεAA βεBB 4.9 5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 6 6.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 σAA σBB 38 40 42 44 46 48 50 52 54 56 58 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 βεAB ηx10̄¯²
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 52 0.70 1295.0 1294.99 0.9809 0.9809 0.75 41.709 43.211 38.182 5.268 5.150 0.533 0.80 1303.4 1303.41 0.9970 0.9970 0.85 42.155 43.158 38.116 5.288 5.078 0.535 0.90 1313.3 1313.31 1.0120 1.0120 0.95 42.749 43.126 38.324 5.292 5.038 0.539 1.00 1324.0 1323.61 1.0145 1.0145 Table 2: Tetrahydrofuron+methylcyclohexane Cm uexpt uSBK �expt �SBK β�AB β�AA β�BB �AA �BB η 0.05 38.874 38.906 38.713 5.128 6.010 0.518 0.10 1236.2 1236.17 0.8553 0.8553 0.15 38.912 38.833 39.117 5.130 6.994 0.519 0.20 1223.5 1223.46 0.8424 0.8424 0.25 39.061 38.530 39.816 5.122 6.020 0.521 0.30 1212.7 1212.73 0.8266 0.8266 0.35 39.297 38.174 40.345 5.126 6.014 0.523 0.40 1205.6 1205.62 0.8144 0.8144 0.45 39.836 37.408 41.654 5.244 6.872 0.524 0.50 1206.2 1206.21 0.8157 0.8157 0.55 39.519 37.779 40.162 4.88 6.156 0.527 0.60 1196.1 1196.13 0.7920 0.7920 0.65 40.273 36.949 41.171 5.144 6.016 0.527 0.70 1191.3 1191.34 0.7813 0.7813 0.75 40.637 36.055 41.369 5.118 6.024 0.529 0.80 1188.9 1188.87 0.7728 0.7728 0.85 41.601 34.810 41.554 5.106 6.026 0.530 0.90 1188.7 1188.72 0.7662 0.7662 0.95 41.631 33.845 41.631 5.094 6.028 0.533 1.00 1189.0 1188.99 0.7560 0.7560 Table 3: Tetrahydrofuron+cyclohexanol Cm uexpt uSBK �expt �SBK β�AB β�AA β�BB �AA �BB η 0.00 1255.2 1255.24 0.8759 0.8759 0.05 39.687 38.906 44.660 5.128 5.710 0.522 0.10 1270.1 1270.07 0.8870 0.8870 0.15 40.560 38.704 45.544 5.118 5.782 0.528 0.20 1289.5 1289.54 0.8936 0.8936 0.25 41.496 38.458 46.459 5.130 5.740 0.533 0.30 1309.2 1309.24 0.9029 0.9029 0.35 42.433 37.940 47.097 5.114 5.772 0.539 0.40 1330.5 1300.47 0.9097 0.9097 0.45 43.350 37.870 47.153 5.112 5.774 0.543 0.50 1348.4 1348.35 0.9154 0.9154 0.55 44.196 37.314 47.460 5.100 5.784 0.548 0.60 1364.5 1364.46 0.9193 0.9193 0.65 45.108 36.562 47.911 5.120 5.772 0.551 0.70 1381.6 1381.55 0.9247 0.9247 0.75 46.467 35.612 48.133 5.094 5.782 0.557 0.80 1406.5 1406.45 0.9301 0.9301 0.85 47.135 35.726 48.156 5.120 5.778 0.560
  • 6. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 10 | Oct-2014, Available @ http://www.ijret.org 53 0.90 1416.9 1416.85 0.9333 0.9333 0.95 48.682 27.480 48.682 4.962 5.794 0.566 1.00 1451.5 1451.51 0.9338 0.9338 Table 4: some physical parameters (input data) for pure liquids at 303.15K Liquids Molecular Weight Density �Kg-m̄ ³ U.S. Velocity m/s β� �A⁰ Tetrahydrofuron 72.00 0.8759 1255.2 39.16 5.146 p-dioxane 88.11 1.0145 1324.0 42.85 5.291 Methylcyclohexane 98.00 0.7560 1189.0 41.41 5.575 Cyclohexanol 101.16 0.9338 1451.5 48.68 5.782 5. CONCLUSIONS In the system tetrehydrofuron +p-dioxane shows almost negligible molecular interaction between two molecules, this may be due to strength of homomolecular i.e. AA, BB and heteromolecular AB interaction being almost equal. In the systems tetrahyderofuron+ methylcyclohexane and Tetrahyderofuron + cyclohexanol shows the presence of homomolecular AB interaction in this mixture may be due to a ring –ring interaction only. The Khasare’s theory is capable of predicting thermodynamic parameters i.e. ultrasonic velocity and density simultaneously for logical input parameters at different concentration in variety of binary liquid mixtures having weak as well as strong intermolecular AB interaction to high degree of accuracy at a given temperature. REFERENCES [1]. ReissH, Frisch H & Lebowitz J L, J Chem phys31 (1959)369 [2]. Barker J A, Henderson d & Watt R O, Phys Rev Lett a, 31(1970)48. [3]. Guha A & Mandal A K, Indian J pure & Appl Phys, 26(1988)340 [4]. Bhatti S S & Singh D P, Austica, 50(1980)29. [5]. Sharma B K, Pramana, 14(1980)447 [6]. Gopal Rao R V & Jardar R N, Indian J Pure &Appl Phys, 14(1976)905 [7]. Khasare S B , Indian J Pure & Appl phys 25(1987)489;29(1991)19;29(1991)547. [8]. Khasare S B , Indian J Pure & Appl Phys,25(1987)182. [9]. Khasare S B, Indian J Pure & Appl Phys, 26(1988)487. [10]. Chimankar O P & Pawar, N R, International Journal of Research in Engineering & Technology (IJRET), Volume- 03, Issue-06, 2014 [11]. Bhandakkar V D, Chimankar O P & Pawar N R, J. Chem Pharm Res,2 (2010), 873 [12]. Chimankar O. P., Bhandakkar V. D., Pawar N. R. and Padole N. N., IOP Conf. Series: Material Science and Engineering ,2012, doi:10.1088/1757-899X/42/1/ 012030 [13]. Khasare S B, Indian J Pure & Appl Phys, 29(1991)19. [14]. Khasare S B, Indian J Pure & Appl Phys, 29(1991)547. [15]. Khasare S B, Indian J Pure & Appl Phys, 31(1993)224. [16]. Timmermans J, Physico-chemical constant of pure organic compounds, Elesevier Amsterdam, 1 & 2 (1950, 1965) [17]. Dreisbach P P , Physical properties of chemical compounds , 1,2&3 (ed. American chemical society) Washington D C (1955) [18]. Ed. Dean J A, Lange’s hand of chemistry, McGraw hill Book Company (1979) [19]. Rao C N R, A hand book of chemistry and physics, Affilited E W press Pvt Ltd, New Delhi (1976)