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Article

Comparative Evaluation of Viscosity, Density and Ultrasonic Velocity Using Deviation Modelling for Ethyl-Alcohol Based Binary Mixtures

by
Radhakrishnan Padmanaban
1,
Ahobilam Gayathri
1,
Aanantha Iyengar Gopalan
2,*,
Dong-Eun Lee
2,3 and
Kannan Venkatramanan
1,*
1
Faculty of Science, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Enathur, Kanchipuram 631561, India
2
Intelligent Construction Automation Center, Kyungpook National University, Daegu 41566, Republic of Korea
3
School of Architecture, Civil, Environment and Energy, Kyungpook National University, 1370, Sangyeok-dong, Buk-gu, Daegu 702701, Republic of Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2023, 13(13), 7475; https://doi.org/10.3390/app13137475
Submission received: 5 May 2023 / Revised: 17 June 2023 / Accepted: 22 June 2023 / Published: 25 June 2023
(This article belongs to the Section Chemical and Molecular Sciences)

Abstract

:
This study reports the comparative deviations in experimental viscosity, density and ultrasonic velocity of two new ethanol-based binary liquid mixtures (ethanol + 1-hexanol and ethanol + 1-octanol) at 303.15 K by applying various theoretical models (Hind relation (ηH), Kendall and Monroe relation (ηK-M), Bingham relation (ηB), Arrhenius–Eyring relation (ηAE), Croenauer-Rothfus Kermore relation (ηCRK) and Gambrill relation (ηG)). Typically, the experimental densities are compared with theoretical methods like the Mchaweh–Nasrifar–Mashfeghian model (ρMNM), Hankinson and Thomson model (ρHT), Yamada and Gunn model (ρYG) and Reid et al. (ρR) model. Additionally, the experimental ultrasonic velocities are compared with various theoretical models like the Nomoto relation (UN), Van Dael and Vangeel relation (UIMR), Impedance relation (UIR), Rao’s specific velocity relation (UR) and Junjie relation (UJ). The average percentage of deviation (APD) is determined to identify the most suited model that can closely agree to the experimental values of the specified property (viscosity, density and ultrasonic velocity). From the APD values, it may be concluded that the ηK-M model is the most suitable theoretical method for estimating the viscosity for the ethanol + 1-hexanol system, and the Gambrill model is the suitable method for estimating viscosity for ethanol + 1-octanol liquid systems. Similarly, the model of Reid et al. and Jungie’s relation are the most suited theoretical models to predict the density and ultrasonic velocity of the binary liquid systems, respectively. Form the experimental data, various molecular interaction properties like adiabatic compressibility, intermolecular free length, free volume, internal pressure, and viscous relaxation time are analysed. The results of this study are expected to be useful in predicting the suitable molecular proportions that can be suited for industrial application (flavouring additive, insecticide, in the manufacture of antiseptics, perfumes for 1-hexanol based mixtures and flavouring, and as an antifoaming agent for 1-octanol based liquid mixtures).

1. Introduction

Over the last three decades, significant progress has been witnessed in the theoretical understanding of liquid–liquid binary mixtures [1,2], keeping in view that the prediction of the few important properties like density, viscosity, and the excess properties, is related to their engineering performance. Studies on the theoretical modelling of thermodynamic and engineering properties have been carried out on alcohol-based binary/ternary mixtures like water and ethanol [3], 1,3,5-trimethyladamantane + 1,2,3,4-tetrahydronaphthalene + n-octanol and corresponding binary systems [4], n-hexane, ethanol, and cyclopentyl methyl ether [5], pentanol + ethyl cyclohexane + methyl myristate and corresponding binary systems [6] and ethylene glycol-based ternary mixture [7]. The knowledge of the thermodynamic and transport properties of alcohol-based binary mixtures can be used to develop theoretical models and for the design of new technologies. Importantly, information on the dynamic viscosity of liquid mixtures can be used in chemical engineering calculations involving fluid, heat, and mass transfer [8]. The experimental viscosity data of ethanol-based liquid mixtures (ethanol + 1-hexanol and ethanol + 1-heptanol) have been reported [9]. The viscosity for binary mixtures containing n-hexanol and ethyl valerate or hexyl acetate, as well the details on negative viscosity deviations over the entire composition have been presented [10]. The viscosity of binary systems containing n-hexanol and other related details has been reported [11,12,13,14]. The deviation in the viscosity data was correlated with its composition using polynomial models, and details on the interpretation of molecular interactions, as well as on the transport and ultrasound properties of binary liquid solutions are presented [15,16,17,18,19,20,21]. Studies on viscosity, a transport property, have been used in terms of modelling and simulation, and the activation energy values as determined by Arrhenius plots have been detailed [22,23]. It has been notified that liquid viscosity is highly affected by the heat and decreases with an increase in temperature [22]. Most liquids have an exponential relationship between temperature and viscosity rather than linear dependence.
Ultrasonic properties and their variation within the composition of the binary mixture are useful to design engineering processes and in chemical and biological industries. Ultrasonic velocity is useful to investigate the molecular interactions between the components of the mixture. The measurement of ultrasonic velocity is the only direct method to determine isentropic compressibility, which then provides further access to the related thermodynamic properties of the liquids and liquid mixtures [24,25,26]. Ultrasound measurements are one of the most widely used techniques in the investigation of liquids and are essential in the construction and validation of fundamental equations of its state.
The present investigation is focused on the first-time theoretical evaluation of the viscosity, density and ultrasonic properties of two binary liquid mixtures: ethanol + 1-hexanol and ethanol + 1-octanol at 303.15 K, to decide on the deviation of the values of the properties as well to know the average percentage of deviation (APD). In this work, the experimental value of the properties was taken as reference from the literature [27]. The experimental viscosities were compared with various theoretical methods like the Hind relation (ηH) [28], Kendall and Monroe relation (ηK-M) [29], Bingham relation (ηB), Arrhenius–Eyring relation (ηAE), Croenauer–Rothfus Kermore relation (ηCRK) and Gambrill relation (ηG) [30]. Turning to the other study in this work, the experimental densities were compared by deriving the values through theoretical methods like the Mchaweh–Nasrifar–Mashfeghian model (ρMNM) [31], Hankinson and Thomson model (ρHT) [32], Yamada and Gunn model (ρYG) [33] and Reid et al. model (ρR) [34]. Also, this work reports on the comparison of experimental ultrasonic velocities using various theoretical methods like the Nomoto relation (UN) [35], Van Dael and Vangeel relation (Uimr) [36], Impedance relation (UIR) [37], Rao’s specific velocity relation (UR) [38] and the Junjie relation (UJ) [39]. The APD was determined to identify the most suited method that agrees with the experimental values. From the experimental values of density, viscosity and ultrasonic velocity, various molecular interaction properties like adiabatic compressibility, intermolecular free length, free volume, internal pressure, viscous relaxation time and their excess properties were analysed.

2. Experimental Details

The binary mixtures were prepared from Analar-grade ethanol (E-Merck chemicals, Darmstadt, Germany), 1-hexanol, and 1-octanol (S.D Fine Chemicals Ltd., India) (27). Ethanol, 1-hexanol, and 1-octanol were purified by the methods described in the literature [40,41]. The binary mixtures of ethanol with 1-hexanol and 1-octanol were prepared by weighing an appropriate volume of each liquid component and were kept in special airtight bottles. All solutions were prepared in a dry bog. Viscosities were determined using a Cannon–Ubbelhode viscometer [27,42] calibrated with triple-distilled water. The viscometer containing test liquids was kept for about 20 min in a thermostatic water bath and the temperature fluctuation in the viscometer measurement was minimized. The overall experimental uncertainty was estimated to be ±1.5 × 10−3. The densities of pure liquids and binary mixtures were measured using a single-stem pycnometer (made of Pyrex glass) with a bulb capacity of 8 × 10−3 dm3 and with a graduated stem of 5.0 × 10−7 dm−3 divisions. The ultrasonic velocities of pure liquids and their mixtures were measured using a single-frequency ultrasonic interferometer operating at 3 MHz with an uncertainty of +0.05% and a temperature (±0.02 K) maintained in a thermostatic water bath [27]. The values of densities and viscosities at 303.15 K were determined precisely up to ±0.01 kgm−3 and ±3 × 10−6 Nsm−2, respectively. The Cannon–Ubbelhode viscometer is conceptually simple: the time it takes a volume of solute to flow through a thin capillary is compared to the time for a solvent flow. It turns out that the flow time for either is proportional to the viscosity, and inversely to the density.
The   relative   viscosity   is   determined   using   the   ratio   ƞ r e l = ƞ s o l n / ƞ s o l v e n t

3. Results and Discussions

3.1. Viscosity Studies

The viscosity of a liquid is affected by many factors such as temperature, size, molecular weight, inter-molecular forces and the presence of impurities. Viscosity determination helps in understanding the molecular interactions and properties of binary and ternary liquid systems. It is to be noted that attractive interactions can cause an increase in the viscosity of these systems. Regardless of the fact that viscosities can be used as the base data in a simulation, equipment design, solution theory or molecular dynamics, it is also essential in designing calculations involving heat transfer, mass transfer and fluid flow. The accurate prediction of the viscosities of binary mixtures is considered very important considering the above facts. A large number of viscosity models have been applied, but few reviews have described the application prospects of the models [43,44]. Models that describe the viscosity of liquid mixtures can be classified into two categories: (i) empirical equations using only one adjusting parameter and simple algebraic formulations [28], and (ii) semi-empirical models which are deduced based on different theories, like Eyring’s absolute reaction-rate theory, the theory of corresponding states, and molecular dynamic models [45].
Table 1 infers the deviation between the experimental and the literature values for pure components.
The viscosity of the binary liquid mixtures was calculated using the Hind relation, Kendall and Monroe relation, Bingham relation, Arrhenius–Eyring relation, Croenauer–Rothfus Kermore relation and Gambrill relation as detailed below:
  • Hind relation (ηH)
The following relations were proposed for the evaluation of the viscosity of binary liquid systems by Hind et al. [28]:
η = x 1 2 η 1 + x 2 2 η 2 + 2 x 1 x 2 H 12
H 12 = η η c a l c i d / ( 2 x 1 x 2 ) η c a l c i d = x 1 2 η 1 + x 2 2 η 2
where x is the mole fraction, η is the viscosity, the subscripts 1 and 2 refer to the components 1 and 2, respectively, and H12 refers to cross-pair interactions, which can be obtained from Equation (3).
  • Kendall and Monroe relation (ηKM) [29]
Kendall and Monroe derived an equation for the analysis of viscosity of binary liquid systems based on a zero-adjustable parameter:
η m = ( x 1 η 1 1 / 3 + x 2 η 2 1 / 3 ) 3
where x1, x2 and η1, η2 are the mole fraction and viscosity of the pure component, respectively.
  • Bingham relation (ηB) [30]
Bingham derived an equation for the analysis of viscosity of binary liquid systems based on a zero-adjustable parameter:
η m = ( x 1 η 1 + x 1 η 1 )
  • Arrhenius–Eyring relation (ηAE) [30]
Arrhenius derived an equation for the analysis of viscosity of binary liquid systems based on a zero-adjustable parameter.
l o g η m = x 1 l o g η 1 + x 2 l o g η 2
  • Croenauer–Rothfus Kermore relation (ηCRK) [30]:
l o g v m = Σ x i l o g ( v i )
  • Gambrill relation (ηG) [30]:
    v m 1 / 3 = Σ x i v i 1 / 3
    where vm is the kinematic viscosity of mixture, whereas xi and vi are the mole fraction and kinematic viscosity of individual pure liquids.
    A v e r a g e   P e r c e n t a g e   o f   D e v i a t i o n A P D = 1 n Σ E x p e r i m e n t a l   v a l u e s T h e o r e t i c a l   V a l u e s E x p e r i m e n t a l   V a l u e s × 100
Table 2 and Table 3 present the experimental and theoretical viscosities predicted by various models for binary liquid systems ethanol + 1-hexanol and ethanol + 1-octanol at 303.15 K. Irrespective of the theoretical models, the common prediction is that the relative η increases with the increase in the concentration of 1-hexanol/1-octanol. The η is the minimum at the lower 1-hexanol/1-octanol concentration, and with the concentration range (1.00) η becomes maximum. The increasing frictional forces are expected to arise from the presence of more carbon atoms in the linear chain of alcohol and the molecular layers formed between the lower-carbon and higher-carbon containing alcohol and to be the reason for the increase in values with concentration of the higher-carbon number containing alcohol [22]. From Table 2 and Table 3, it can be observed that there are differences in the theoretical values of the viscosities of the ethanol + 1-hexanol and ethanol + 1-octanol binary mixtures at 303.15 K compared to the experimental values. The reason for the difference is ascribed to the limitations and approximation incorporated in these theories. In the ethanol + 1-hexanol binary liquid system, it is observed that the APD, as derived from the theoretical values of η calculated by using various theoretical models (Hind relation, Kendall and Monroe relation, Bingham relation, Arrhenius–Eyring relation, Croenauer–Rothfus Kermore relation and Gambrill relation), follow the trend ΔηH = ΔηB > ΔηAE >ΔηCRK > ΔηG > ΔηKM. This study infers that the APD of η is more in the Hind model and Bingham model and less in the Kendall and Monroe model. Furthermore, within Table 2, it can be noticed that the Kendall and Monroe model is the most suitable theoretical model for predicting viscosity for ethanol + 1-hexanol binary liquid systems.
Regarding the results derived from the ethanol + 1-octanol binary liquid system, the comparison of the experimental η with the value predicted from various theoretical models is presented in Table 3. Additionally, the details of the APD are given in Table 3 which follows the following trend: ΔηH = ΔηB > ΔηAE >ΔηCRK > ΔηKM > ΔηG. From the results, it can be concluded that the Gambrill model is the most suitable theoretical method for estimating the viscosity for the Ethanol + 1-octanol binary liquid system.

3.2. Density Studies

Density is an important concept because it allows one to determine whether a substance with a specified density will float/sink in a liquid. Specifically, substances with a lesser density than the density of the liquid will float in that liquid. Also, it is an important physical property used in calculating the acoustic and physical properties of a substance such as the molar refraction, dipole moment, boiling temperature and superficial tension.
The density of the binary liquid mixtures, taken for the present study, was calculated using the Mchaweh–Nasrifar–Mashfeghian model (ρMNM) [31], Hankinson and Thomson model (ρHT) [32], Yamada and Gunn model (ρYG) [33] and Reid et al. model (ρR) [34] as given by the following details:
Mchaweh–Nasrifar–Mashfeghian model (ρMNM) [31]
Mchaweh, Nasrifar and Mashfeghian reported the following correlation:
ρ m i x = ρ c m i x ρ 0 m i x
where ρmix is the density of the mixed solution, and ρcmix is the critical density of the mixture. The critical density of the mixture is calculated with the following equation:
ρ c m i x = [ i = 1 N x i ρ c i 3 / 4 ] 4 / 3
where xi is the mole fraction, and ρci is the critical density of the ith component.
ρ 0 m i x = 1 + 1.169 τ m i x 1 / 3 + 1.818 τ m i x 2 / 3 2.658 τ m i x 3 / 3 + 2.161 τ m i x 4 / 3
where the temperature-dependent variable τmix is calculated by the following expression:
τ m i x = 1 T r m i x / α S R K
In the above equation, Trmix is the reduced temperature of the mixed solution and αSRK is the term from the original Soave Redlich–Kwong equation of the state. The reduced temperature of the mixture is defined as
T r m i x = T / i = 1 N x i T c i
where Tci is the critical temperature of the ith component. The parameter αSRK is defined in terms of the reduced temperature (Tr):
α S R K = [ 1 + m 1 T r m i x ] 2
m = 0.480 + 1.574 ω m i x 0.176 ω m i x 2
The acentric factor of the solution ωmix is calculated with the following expression:
ω m i x = i = 1 N x i ω i
where ωi is the acentric factor of the ith component. The acentric factor is a measure of the complexity of the molecule as formed in relation to a molecule with spherical symmetry of a simple fluid for which ω = 0.
Hankinson and Thomson model (ρHT) [32]
The Hankinson–Thomson model (H-T) [21] is based on the corresponding state principle and is valid for 0.25 < Tr < 0.95. The density of the pure compound is defined by
ρ = ρ c / [ V 0 1 ω V ( 1 ) ]
V ( 0 ) = 1 1.5281 ( 1 T r ) 1 / 3 + 1.4390 ( 1 T r ) 2 / 3 0.8144 ( 1 T r ) + 0.19045 ( 1 T r ) 4 / 3
V ( 1 ) = ( 0.296123 + 0.386914 T r 0.0427258 T r 2 0.0480645 T r 3 ) / ( T r 1.00001 )
The reduced temperature of the component is defined as
T r = T / T c
  • Yamada and Gunn model (ρYG) [33]
The Yamada–Gunn model extended the Racket equation and requires the molecular weight M, the critical density ρc, the reduced temperature Tr and the acentric factor ω:
ρ = ρ c ( 0.29056 0.08775 ω ) ( 1 T r ) 2 / 7
  • Reid et al. model (ρR) [34]
The Reid et al. model proposed an equation also based on the molecular weight, critical density, reduced temperature and acentric factor:
ρ = ρ c [ 1 + 0.85 1 T r + ( 1.6916 + 0.984 ω ) ( 1 T r ) 1 / 3 ]
The density values calculated using the Mchaweh–Nasrifar–Mashfeghian model, Hankinson and Thomson model, Yamada and Gunn model and Reid et al. model and their deviations are presented in Table 4 and Table 5. In both (ethanol + 1-hexanol and ethanol + 1-octanol) binary liquid systems, it was observed that the deviation of density takes the following order: ΔρMNM > ΔρHT > ΔρYG > ΔρR. This study demonstrated that the APD of the density is more in the Mchaweh–Nasrifar–Mashfeghian model and least in the Reid et al. model, amongst the models used in this work. Also, the theoretical calculations made on the density of binary mixtures using various models gave the conclusion that the density values estimated from Reid et al. [34] are the most suitable ones for predicting the density of both binary mixtures, Ethanol + h-Hexanol and Ethanol + 1-octanol. Thus, it is worth mentioning that the basic assumptions used in the model of Reid et al. [34] and the assumptions applied in that model are well-suited for estimating the closer value of the density for the studied binary mixtures.

3.3. Ultrasonic Velocity Studies

Studies on ultrasonic velocity are useful for extensive applications towards the evaluation of the thermodynamic and physicochemical properties of simple, binary and ternary mixtures [49,50]. Considering the extensive reports in the literature on binary mixtures, it is understood that relatively less attention has been focused on the mixtures based on ethanol [51,52,53]. In the present work, the experimental ultrasonic velocities are compared with values derived through various theoretical methods: the Nomoto relation (UN) [35], Van Dael and Vangeel relation (UIMR) [36], Impedance relation (UIR) [37], Rao’s specific velocity relation (UR) [38] and the Junjie relation (UJ) [39]. The experimental values, along with the theoretical values calculated using various models, are presented in Table 6 and Table 7 along with standard relations [35,36,37,38,39].
For the Ethanol + 1-hexanol binary liquid system, the following trend was noticed: ΔUR > ΔUN > ΔUIMR > ΔUIR > ΔUJ. The calculations reveal that the APD of ultrasonic velocity is the most when using Rao’s specific velocity relation [38] and is the least in Jungie’s relation [39]. This leads to the conclusion that Jungie’s relation is the most suitable theoretical method for estimating the ultrasonic velocity for the Ethanol + 1-hexanol binary liquid system. In the case of the Ethanol + 1-octanol binary liquid system, it was observed that deviation takes the order ΔUIMR > ΔUR > ΔUN > ΔUIR > ΔUJ. The APD of ultrasonic velocity values as calculated from the Van Dael and Vangeel [36] relation were relatively higher than those predicted by Jungie’s relation [39]. Thus, it can be concluded that Jungie’s relation [39] is the most suitable theoretical method for estimating the ultrasonic velocity for Ethanol + 1-octanol binary liquid system.

3.4. Molecular Interaction Properties

From the experimental values of density, viscosity and ultrasonic velocity [27], various molecular interaction parameters like adiabatic compressibility, intermolecular free length, free volume, internal pressure, and viscous relaxation time were determined and are presented in Table 8.
Normally, a decrease in adiabatic compressibility indicates closed packing and decreased ionic repulsion. In the present study, the adiabatic compressibility for both systems (Ethanol + 1-Hexanol and Ethanol + 1-Octanol) increases with an increase with the concentration of ethanol. This indicates that the molecules are loosely packed in the solution. The adiabatic compressibility shows an inverse behaviour when compared to ultrasonic velocity. This indicates that there is a significant interaction between the binary liquids. This increasing trend suggests a moderate strong electrolytic nature in which the solutes tend to attract the solvent molecules. The intermolecular free length shows a similar behaviour to adiabatic compressibility. From Table 8, the free volume shows an increasing trend with the increase in the concentration of ethanol. This may be compactness due to association at a higher concentration [54]. This increasing trend is due to stronger intramolecular interaction than intermolecular interaction which can be attributed to the loose packing of molecules inside the shield, which suggests a weak molecular interaction in the components of mixtures [55]. The internal pressure is a measure of cohesive forces between the constituent molecules in liquids. It is also defined as the energy required to vaporize a unit volume of a substance. The values of internal pressure increase with an increase in the mole fractions of ethanol. The value of internal pressure was found to be greater for the Ethanol+1-hexanol than Ethanol+1-octanol liquid system. This suggests that there is a strong interaction between the solute and solvent molecules or that there is an increase in the extent of complexation with the increase in concentration [55]. The internal pressure of a liquid reflects the molecular interaction. The dispersion of the ultrasonic speed of sound in the binary system gives information about the characteristics of relaxation time (τ), which explains the cause of dispersion. The decreasing trend of relaxation time was observed in the present case. It may be due to the structural changes occurring in the mixtures resulting in the weakening of intermolecular forces [56].

3.5. Studies on Excess Parameters

In order to elucidate the nature of molecular interactions between the components of the liquid mixtures, it is of considerable interest to study the excess parameters rather than the actual values [57]. Non-ideal liquid mixtures show a significant deviation from linearity in their physical behaviour with respect to the concentration, and temperature interoperates with the presence of strong or weak interactions.
The excess values of βE, LfE, τE and πE are recorded in Table 9. The positive excess values represent the dispersion forces, while the negative values indicate the dipole–dipole interaction, charge transfer interaction and hydrogen bonding between the unlike molecules [58].
Excess parameters have been calculated using the following relation:
AE = Aexp − Aid
Aid = Σ Ai Xi
where Ai represents any acoustical parameter and xi is the corresponding mole fraction.
The excess values of adiabatic compressibility, free length, internal pressure and relaxation time were found to be negative in both systems (Ethanol + 1-Hexanol and Ethanol + 1-Octanol). This indicates the presence of a strong interaction between the components of the mixtures [59].

4. Conclusions

In this work, the experimental viscosity of ethanol-based binary liquid mixtures (Ethanol + 1-hexanol and Ethanol + 1-octanol at 303.15 K) was compared with a value predicted using various theoretical models. With regard to Ethanol + 1-hexanol binary liquid system, it was found that the average percentage of deviation (APD) of viscosity is more in the Hind and Bingham model and less in the Kendall and Monroe model. It was therefore concluded that the Kendall and Monroe model is the most suitable theoretical method for estimating viscosity for the Ethanol + 1-hexanol binary liquid system. Regarding the results derived for the Ethanol + 1-octanol binary liquid system, it was observed that the APD of η is more in the Hind model and Bingham model and less in the Gambrill model. From the results, it was concluded that the Gambrill model is the most suitable theoretical method for estimating the viscosity of the Ethanol + 1-octanol binary liquid system. Upon comparing the experimental density of the binary liquid mixtures (Ethanol + 1-hexanol and Ethanol + 1-octanol at 303.15 K) by applying various theoretical models, it was inferred that the APD of the density predicted by the Mchaweh–Nasrifar–Mashfeghian model is larger and is the least in the Reid model. It was concluded that the Reid et al. model is the most suited to predict the density closest to the experimental results for both the binary liquid systems. On comparing the experimental ultrasonic velocity through values derived through various theoretical models of binary liquid mixtures (Ethanol + 1-hexanol and Ethanol + 1-octanol) at 303.15 K, it was concluded that the APD of the ultrasonic velocity for the Ethanol + 1-hexanol binary liquid system is the most in Rao’s specific velocity relation and the least in Jungie’s relation, indicating the best suitability of Jungie’s relation for estimating the ultrasonic velocity. On applying various theoretical models for the Ethanol + 1-octanol binary liquid system, it was observed that the average percentage of deviation of the ultrasonic velocity is the most in the Van Dael and Vangeel relation and the least in Jungie’s relation. Hence, Jungie’s relation is the most suitable theoretical method for estimating the ultrasonic velocity for the Ethanol + 1-octanol binary liquid system.
Variation in molecular interaction parameters with the molar concentration of ethanol suggested the presence of specific solute–solvent interactions at a higher concentration, and the effect of concentration was analysed. The calculated excess values and their signs indicate the possible involvement of specific hydrogen-bonding interactions in the binary mixture components. The results of the present study provide insights and inference on knowing the best or most suited theoretical model that could predict the closest values of thermo-acoustic parameters for ethanol-based binary liquid mixtures. Importantly, the study informs the specific choice of theoretical model that could give the closest thermo-acoustic property values for ethanol-based binary mixtures, having aliphatic linear chain alcohols with varying numbers of carbons. The results achieved in this study into the ultrasonic velocity, density and viscosity of ethanol-based binary liquid mixtures are expected to justify the practical application of simple models to estimate the few important properties involved in industrial applications.

Author Contributions

R.P.: conceptualization, software; investigation and writing—original draft; A.G.: methodology; formal analysis; data curation and visualization; A.I.G.: conceptualization; validation; investigation; writing—original draft and funding acquisition; D.-E.L.: methodology, formal analysis; data curation and visualization; K.V.: methodology; validation; investigation; writing—original draft and supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (Nos. NRF-2018R1A5A1025137 and NRF-2022R1A2C1092289).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV Deemed University), Enathur, Kanchipuram, for providing facilities to carry out this research work. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (Nos. NRF-2018R1A5A1025137 and NRF-2022R1A2C1092289).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Parashar, R.; Azhar Ali, M.; Mehta, S.K. Excess molar volumes of some partially miscible liquid mixtures. J. Chem. Thermodyn. 2000, 32, 711–716. [Google Scholar] [CrossRef]
  2. Pretorius, F.; Focke, W.W.; Androsch, R.; Toit, E.D. Estimating binary liquid composition from density and refractive index measurements: A comprehensive review of mixing rules. J. Mol. Liq. 2021, 332, 115893. [Google Scholar] [CrossRef]
  3. Boli, E.; Katsavrias, T.; Voutsas, E. Viscosities of pure protic ionic liquids and their binary and ternary mixtures with water and ethanol. Fluid Phase Equilib. 2020, 520, 112663. [Google Scholar] [CrossRef]
  4. Qin, X.; Yang, S.; Zhao, J.; Wang, L.; Zhang, Y.; Luo, D. Density and viscosity for the ternary mixture of 1,3,5-trimethyladamantane + 1,2,3,4-tetrahydronaphthalene + n-octanol and corresponding binary systems at T = (293.15 to 343.15) K. J. Chem. Thermodyn. 2022, 168, 106726. [Google Scholar] [CrossRef]
  5. Cartes, M.; Chaparro, G.; Alonso, G.; Mejía, A. Density and viscosity of liquid mixtures formed by n-hexane, ethanol, and cyclopentyl methyl ether. J. Mol. Liq. 2022, 359, 119353. [Google Scholar] [CrossRef]
  6. Li, D.; Zheng, Y.; Wang, J.; Pang, Y.; Liu, M. Volumetric properties and viscosity for the ternary system of (1-pentanol + ethylcyclohexane + methyl myristate) and corresponding binary systems at T = 293.15–323.15 K. J. Chem. Thermodyn. 2022, 165, 106660. [Google Scholar] [CrossRef]
  7. Said, Z.; Cakmak, N.K.; Sharma, P.; Syam Sundar, L.; Inayat, A.; Keklikcioglu, O.; Li, C. Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model -prediction using modern machine learning techniques. Powder Technol. 2022, 400, 117190. [Google Scholar] [CrossRef]
  8. Pang, F.M.; Seng, C.E.; Teng, T.T.; Ibrahim, M.H. Densities and viscosities of aqueous solutions of 1-propanol and 2-propanol at temperatures from 293.15 K to 333.15 K. J. Mol. Liq. 2007, 136, 71–78. [Google Scholar] [CrossRef]
  9. Cano-Gómez, J.J.; Iglesias-Silva, G.A.; Castrejón-González, E.O.; Ramos-Estrada, M.; Hall, K.R. Density and Viscosity of Binary Liquid Mixtures of Ethanol + 1-Hexanol and Ethanol + 1-Heptanol from (293.15 to 328.15) K at 0.1 MPa. J. Chem. Eng. Data 2015, 60, 1945–1955. [Google Scholar] [CrossRef]
  10. Indraswati, N.; Mudjijati; Wicaksana, F.; Hindarso, H.; Ismadji, S. Density and Viscosity for a Binary Mixture of Ethyl Valerate and Hexyl Acetate with 1-Pentanol and 1-Hexanol at 293.15 K, 303.15 K, and 313.15 K. J. Chem. Eng. Data 2001, 46, 134–137. [Google Scholar] [CrossRef]
  11. Audonnet, F.; Pádua, A.A.H. Density and Viscosity of Mixtures of n-Hexane and 1-Hexanol from 303 to 423 K up to 50 MPa. Int. J. Thermophys. 2002, 23, 1537–1550. [Google Scholar] [CrossRef]
  12. Domańska, U.; Żołek-Tryznowska, Z. Measurements of the density and viscosity of binary mixtures of (hyper-branched polymer, B-H2004+1-butanol, or 1-hexanol, or 1-octanol, or methyl tert-butyl ether). J. Chem. Thermodyn. 2010, 42, 651–658. [Google Scholar] [CrossRef]
  13. Estrada-Baltazar, A.; Bravo-Sanchez, M.G.; Iglesias-Silva, G.A.; Alvarado, J.A.J.; Castrejon-Gonzalez, E.O.; Ramos-Estrada, M. Densities and viscosities of binary mixtures of n-decane + 1-pentanol, +1-hexanol, +1-heptanol at temperatures from 293.15 to 363.15K and atmospheric pressure. Chin. J. Chem. Eng. 2015, 23, 559–571. [Google Scholar] [CrossRef]
  14. Das, K.N.; Habibullah, M.; Rahman, I.M.M.; Hasegawa, H.; Ashraf Uddin, M.; Saifuddin, K. Thermodynamic Properties of the Binary Mixture of Hexan-1-ol with m-Xylene at T = (303.15, 313.15, and 323.15) K. J. Chem. Eng. Data 2009, 54, 3300–3302. [Google Scholar] [CrossRef]
  15. Saini, A.; Prabhune, A.; Mishra, A.P.; Dey, R. Density, ultrasonic velocity, viscosity, refractive index and surface tension of aqueous choline chloride with electrolyte solutions. J. Mol. Liq. 2021, 323, 114593. [Google Scholar] [CrossRef]
  16. Rana, V.A.; Chaube, H.A. Relative permittivity, density, viscosity, refractive index and ultrasonic velocity of binary mixture of ethylene glycol monophenyl ether and 1-hexanol at different temperatures. J. Mol. Liq. 2013, 187, 66–73. [Google Scholar] [CrossRef]
  17. Hasan, M.; Shirude, D.F.; Hiray, A.P.; Kadam, U.P.; Sawant, A.B. Densities, viscosities and ultrasonic velocity studies of binary mixtures of toluene with heptan-1-ol, octan-1-ol and decan-1-ol at 298.15 and 308.15 K. J. Mol. Liq. 2007, 135, 32–37. [Google Scholar] [CrossRef]
  18. Parveen, S.; Shukla, D.; Singh, S.; Singh, K.P.; Gupta, M.; Shukla, J.P. Ultrasonic velocity, density, viscosity and their excess parameters of the binary mixtures of tetrahydrofuran with methanol and o-cresol at varying temperatures. Appl. Acoust. 2009, 70, 507–513. [Google Scholar] [CrossRef]
  19. Thanuja, B.; Kanagam, C.; Sreedevi, S. Studies on intermolecular interaction on binary mixtures of methyl orange–water system: Excess molar functions of ultrasonic parameters at different concentrations and at different temperatures. Ultrason. Sonochem. 2011, 18, 1274–1278. [Google Scholar] [CrossRef]
  20. Thiyagarajan, R.; Palaniappan, L. Ultrasonic investigation of molecular association in binary mixtures of aniline with aliphatic alcohols. C. R. Chim. 2007, 10, 1157–1161. [Google Scholar] [CrossRef]
  21. Satheesh, B.; Sreenu, D.; Savitha Jyostna, T. Thermodynamic and spectroscopic studies of intermolecular interactions between isoamyl alcohol and monocyclic aromatic non-ideal binary liquid mixtures. Chem. Data Collect. 2020, 28, 100448. [Google Scholar] [CrossRef]
  22. Venkatramanana, K.; Padmanaban, R.; Arumugam, V. Acoustic, Thermal and molecular interactions of Polyethylene Glycol (2000, 3000, 6000). Phys. Procedia 2015, 70, 1052–1056. [Google Scholar] [CrossRef] [Green Version]
  23. Mathur, V.; Arya, P.K.; Sharma, K. Estimation of activation energy of phase transition of PVC through thermal conductivity and viscosity analysis. Mater. Today Proc. 2021, 38, 1237–1240. [Google Scholar] [CrossRef]
  24. Babu, P.; Prabhakara Rao, N.; Chandra Sekhar, G.; Bhanu Prakash, P. Ultrasonic studies in the ternary mixtures: Water + Iso-propanol +Pyridine at 303.15 K. Chem. Thermodyn. Therm. Anal. 2022, 5, 100032. [Google Scholar] [CrossRef]
  25. Syed Ibrahim, P.S.; Chidambara vinayagam, S.; Senthil Murugan, J.; Edward Jeyakumar, J. Ultrasonic studies on ternary liquid mixtures of some 1-alkanols with meta methoxy phenol and n hexane at 313 K. J. Mol. Liq. 2020, 304, 112752. [Google Scholar] [CrossRef]
  26. Srivastava, N.; Rathour, B.K.; Singh, S.; Singh, S. Thermoacoustical study of intermolecular interactions in binary liquid mixtures of benzaldehyde with methanol and ethanol. Chem. Phys. Impact 2023, 6, 100144. [Google Scholar] [CrossRef]
  27. Ali, A.; Hyder, S.; Nain, A.K. Studies on molecular interactions in binary liquid mixtures by viscosity and ultrasonic velocity measurements at 303.15 K. J. Mol. Liq. 1999, 79, 89–99. [Google Scholar] [CrossRef]
  28. Hind, R.K.; McLaughlin, E.; Ubbelohde, A.R. Structure and viscosity of liquids. Viscosity-temperature relationships of pyrrole and pyrrolidone. Trans. Faraday Soc. 1960, 56, 331–334. [Google Scholar] [CrossRef]
  29. Kendall, J.; Monroe, K.P. The Viscosity of Liquids. II. The Viscosity-Composition Curve for ideal liquid mixtures. J. Am. Chem. Soc. 1917, 39, 1787–1802. [Google Scholar] [CrossRef]
  30. Fakruddin Babavali, S.K.; Srinivasu, C.H.; Narendra, K.; Sridhar Yesaswi, C.H. Experimental and theoretical predictions of viscosity in binary liquid mixtures containing Quinoline with Arenes (Benzene, Toluene and Mesitylene) at temperature t = 303.15 K: A comparative study. RASAYAN J. Chem. 2016, 9, 544–549. [Google Scholar]
  31. Nasrifar, K.; Moshfeghian, M. A saturated liquid density equation in conjunction with the Predictive-Soave–Redlich–Kwong equation of state for pure refrigerants and LNG multicomponent systems. Fluid Phase Equilib. 1998, 153, 231–242. [Google Scholar] [CrossRef]
  32. Hankinson, R.W.; Thomson, G.H. A new correlation for saturated densities of liquids and their mixtures. AIChE J. 1979, 25, 653–663. [Google Scholar] [CrossRef]
  33. Yamada, T.; Gunn, R.D. Saturated liquid molar volumes Rackett equation. J. Chem. Eng. Data 1973, 18, 234–236. [Google Scholar] [CrossRef]
  34. Reid, R.C.; Prausnitz, J.M.; Sherwood, T.K. The Properties of Gases and Liquids; McGraw Hill: New York, NY, USA, 1977. [Google Scholar]
  35. Nomoto, O. Empirical Formula for Sound Velocity in Liquid Mixtures. J. Phys. Soc. Jpn. 1958, 13, 1528–1532. [Google Scholar] [CrossRef]
  36. Fakruddin Babavali, S.K.; Shakira, P.; Srinivasu, C.H.; Narendra, K. Comparative study of theoretical ultrasonic velocities of binary liquid mixtures containing quinoline and mesitylene at temperatures T = (303.15, 308.15, 313.15 and 318.15) K. Karbala Int. J. Mod. Sci. 2015, 1, 172–177. [Google Scholar] [CrossRef] [Green Version]
  37. Santhi, N.; Sabarathinam, P.L.; Madhumitha, J.; Alamelumangai, G.; Emayavaramban, M. Theoretical evaluation of ultrasonic velocity in binary liquid mixtures of Alcohols + Benzene. Int. Lett. Chem. Phys. Astron. 2013, 2, 18–35. [Google Scholar] [CrossRef]
  38. Rama Rao, M. Velocity of Sound in Liquids and Chemical Constitution. J. Chem. Phys. 1941, 9, 682–685. [Google Scholar] [CrossRef] [Green Version]
  39. Junjie, Z. Calculation of Ultrasonic Velocity in Binary Liquid Mixtures of Benzene. J. China. Univ. Sci. Technol. 1984, 14, 298–299. [Google Scholar]
  40. Reddick, J.A.; Bringer, W.S. Techniques of Chemistry, 3rd ed.; W’dey Interscience: New York, NY, USA, 1970; Volume 2. [Google Scholar]
  41. Weissberger, A. Techniques of Organic Chemistry; Interscience Publishers, Inc.: New York, NY, USA, 1959; Volume 7. [Google Scholar]
  42. Tanford, C. Physical Chemistry of Macromolecules; John Wiley and Sons Inc.: New York, NY, USA, 1961. [Google Scholar]
  43. Monnery, W.D.; Svrcek, W.Y.; Mehrotra, A.K. Viscosity: A critical review of practical predictive and correlative methods. Can. J. Chem. Eng. 1995, 73, 3–40. [Google Scholar] [CrossRef]
  44. Poling, B.E.; Prausnitz, J.M.; O’connell, J.P. Properties of Gases and Liquids, 5th ed.; McGraw-Hill Education: New York, NY, USA, 2001. [Google Scholar]
  45. Cao, W.; Fredenslund, A.; Rasmussen, P. Statistical thermodynamic model for viscosity of pure liquids and liquid mixtures. Ind. Eng. Chem. Res. 1992, 31, 2603–2619. [Google Scholar] [CrossRef]
  46. Thiyagarajan, R.; Palaniappan, L. Molecular interaction study of two aliphatic alcohols with cyclohexane. Indian J. Pure Appl. Phy. 2008, 46, 852–856. [Google Scholar]
  47. Elangovan, S.; Kebede, L.; Senbeto, E.K. Intermolecular Interactions between Chlorpheniramine with 1-Butanol, 1-Pentanol, and 1-Hexanol. Russ. J. Phys. Chem. 2022, 96, S1–S7. [Google Scholar] [CrossRef]
  48. Glory, J.; Naidu, P.S.; Jayamadhuri, N.; Ravindra Prasad, K. Study of Ultrasonic Velocity, Density and Viscosity in the Binary Mixtures of Benzyl Benzoate with 1-Octanol and Isophorone. Res. Rev. J. Pure Appl. Phy. 2013, 1, 5–18. [Google Scholar]
  49. Wankhede, D.S.; Lande, M.K.; Arbad, B.R. Densities and Viscosities of Binary Mixtures of Paraldehyde + Propylene Carbonate at (288.15, 293.15, 298.15, 303.15, and 308.15) K. J. Chem. Eng. Data 2005, 50, 261–263. [Google Scholar] [CrossRef]
  50. Challis, R.E.; Povey, M.J.W.; Mather, M.L.; Holmes, A.K. Ultrasound techniques for characterizing colloidal dispersions. Rep. Prog. Phys. 2005, 68, 1541–1637. [Google Scholar] [CrossRef]
  51. Bhardwaj, C.K.; Prakash, S.; Bhardwaj, A.K. Study of nitrazepam interaction with alcohol: An ultrasonic and physiochemical investigation. Can. J. Chem. 2021, 99, 942–949. [Google Scholar] [CrossRef]
  52. Srivastava, N.; Rathour, B.K.; Singh, S. Ultrasonic and Thermodynamical Study of Molecular Interactions in Binary Liquid Mixtures at Different Temperatures. Russ. J. Phys. Chem. 2022, 96, 15–26. [Google Scholar] [CrossRef]
  53. Bindhani, S.K.; Roy, G.K.; Mohanty, Y.K.; Kubendran, T.R. Effect of temperature and concentration on density, viscosity and ultrasonic velocity of the pentan-1-ol + nitrobenzene mixtures. Russ. J. Phys. Chem. 2014, 88, 1255–1264. [Google Scholar] [CrossRef]
  54. Naik, A.B. Densities, viscosities, speed of sound and some acoustical parameter studies of substituted pyrazoline compounds at different temperatures. Ind. J. Pure Appl. Phys. 2015, 53, 27–34. [Google Scholar]
  55. Naik, A.B.; Morey, P.B. Density, viscosity, and ultrasonic measurements on liquid–liquid interactions of some binary mixtures. Russ. J. Phys. Chem. 2022, 96, 2417–2424. [Google Scholar] [CrossRef]
  56. Elangovan, S.; Mullainathan, S. Intermolecular Interaction Studies in Binary Mixture of Methyl formate with Methanol at Various Temperatures. Asian J. Chem. 2014, 26, 137–141. [Google Scholar] [CrossRef]
  57. Rezaei-Sameti, M.; Iloukhani, H.; Rakhshi, M. Excess thermodynamic parameters of binary mixtures of methanol, ethanol, 1-propanol, and 2-butanol + chloroform at (288.15–323.15 K) and comparison with the Flory theory. Russ. J. Phys. Chem. 2010, 84, 2023–2032. [Google Scholar] [CrossRef]
  58. Fort, R.J.; Moore, W.R. Viscosities of binary liquid mixtures. Trans. Faraday Soc. 1966, 62, 1112–1119. [Google Scholar] [CrossRef]
  59. Fort, R.J.; Moore, W.R. Adiabatic compressibilities of binary liquid mixtures. Trans. Faraday Soc. 1965, 61, 2102–2111. [Google Scholar] [CrossRef]
Table 1. Experimental values of the viscosity, density and ultrasonic velocity of pure liquids.
Table 1. Experimental values of the viscosity, density and ultrasonic velocity of pure liquids.
LiquidDensity (kg/m3)Viscosity (×10−3 Nsm−2)Ultrasonic Velocity (m/s)
Expt [27]LiteratureExpt [27]LiteratureExpt [27]Literature
Ethanol783.9780.5 [46]1.00900.983 [46]1133.31130 [46]
1-Hexanol807.6810.0 [47]3.89513.513 [47]1281.71289 [47]
1-Octanol817.2803.03 [48]6.49315.9424 [48]1327.51329 [48]
APD of experimental and literature value 0.80% 7.5% 0.3%
Table 2. Experimental and theoretical viscosity of binary liquid system of Ethanol + 1-Hexanol at 303.15 K.
Table 2. Experimental and theoretical viscosity of binary liquid system of Ethanol + 1-Hexanol at 303.15 K.
Mole Fraction of EthanolViscosity (Experimental Values) ×10−3 Nsm−2Theoretical Viscosity (×10−3 Nsm−2)
Hind Relation (ηH)Kendall and Monroe Relation (ηKM)Bingham Relation (ηB)Arrhenius–Eyring Relation (ηAE)Croenauer–Rothfus Kermore Relation (ηCRK)Gambrill Relation (ηG)
0.003.89513.89513.84243.89513.89513.89504.1085
0.143.36393.48153.27843.48153.20963.21523.5068
0.282.88723.08292.78993.08292.66342.67012.9834
0.492.24142.48952.15642.48952.01752.02412.3057
0.641.80732.03411.74122.03411.63021.63541.8616
0.771.50881.67541.45451.67541.37821.38141.5546
0.871.27951.38651.24801.38651.20391.20491.3330
0.951.09331.14631.09201.14631.07601.07681.1675
1.001.00901.00901.00891.00901.00901.00881.0784
APD from experimental values−6.46%2.32%−6.46%5.35%5.21%−4.43%
Table 3. Experimental and theoretical viscosity of binary liquid system of Ethanol + 1-Octanol at 303.15 K.
Table 3. Experimental and theoretical viscosity of binary liquid system of Ethanol + 1-Octanol at 303.15 K.
Mole Fraction of EthanolViscosity (Experimental Values) ×10−3 Nsm−2Theoretical Viscosity (×10−3 Nsm−2)
Hind Relation (ηH)Kendall and Monroe Relation (ηKM)Bingham Relation (ηB)Arrhenius–Eyring Relation (ηAE)Croenauer–Rothfus Kermore Relation (ηCRK)Gambrill Relation (ηG)
0.006.49316.49316.37276.49316.49316.49306.8147
0.135.47085.77965.29785.77965.09635.115795.6738
0.244.60685.16044.46925.16044.13024.15884.7932
0.334.00154.66193.86864.66193.48713.51944.1542
0.552.92183.48942.67333.48942.34202.37072.8753
0.702.16852.66572.00062.66571.77071.78712.1461
0.811.68882.05421.58182.05421.43881.44591.6916
0.891.36231.58591.30391.58591.22731.22951.3922
0.961.12111.22721.11461.22721.08661.08711.1904
1.001.00901.00901.00891.00901.00901.00891.0783
APD from experimental values−12.41%3.88%−12.41%9.60%9.19%−2.93%
Table 4. Experimental and theoretical density of binary liquid system of Ethanol + 1-Hexanol at 303.15 K.
Table 4. Experimental and theoretical density of binary liquid system of Ethanol + 1-Hexanol at 303.15 K.
Mole Fraction of EthanolDensity (Experimental Values) kg/m3Theoretical Density (kg/m3)
Mchaweh–Nasrifar–Mashfeghian Model (ρMNM)Hankinson and Thomson Model (ρHT)Yamada and Gunn Model (ρYG)Reid et al. Model (ρR)
0.00807.6654.2844.9839.7839.2
0.14805.6656.6847.9842.9842.2
0.28802.9658.8850.5845.6844.7
0.49798.6661.5853.6848.9847.8
0.64794.8663.3855.2850.6849.5
0.77791.2664.4855.9851.5850.4
0.87787.7665.1856.1851.8850.7
0.95785.7665.5856.0851.8850.7
1.00783.9665.6855.9851.6850.7
APD from experimental
values
16.79%−7.25%−6.67%−6.55%
Table 5. Experimental and theoretical density of binary liquid system of Ethanol + 1-Octanol at 303.15 K.
Table 5. Experimental and theoretical density of binary liquid system of Ethanol + 1-Octanol at 303.15 K.
Mole Fraction of EthanolDensity (Experimental Values) kg/m3Theoretical Density (kg/m3)
Mchaweh–Nasrifar–Mashfeghian Model (ρMNM)Hankinson and Thomson Model (ρHT)Yamada and Gunn Model (ρYG)Reid et al. Model (ρR)
0.00817.2659.5862.7858.1855.2
0.13815.9661.6864.3859.7856.9
0.24814.6663.3865.2860.7857.9
0.33813.4664.4865.6861.2858.5
0.55808.6666.3865.2860.9858.5
0.70801.2666.9863.5859.3857.2
0.81794.1666.9861.4857.2855.5
0.89788.8666.5859.3855.1853.7
0.96785.6666.0857.3853.0851.9
1.00783.9665.6855.9851.6850.7
APD from experimental values17.13−7.46−6.92−6.66
Table 6. Experimental and theoretical ultrasonic velocity of binary liquid system of Ethanol + 1-Hexanol at 303.15 K.
Table 6. Experimental and theoretical ultrasonic velocity of binary liquid system of Ethanol + 1-Hexanol at 303.15 K.
Mole Fraction of EthanolUltrasonic Velocity (Experimental Values) m/sTheoretical Ultrasonic Velocity (m/s)
Nomoto Relation (UN)Van Dael and Vangeel Relation (UIMR)Impedance Relation (UIR)Rao’s Specific Velocity Relation (UR)Junjie Relation (UJ)
0.001281.71193.91281.71281.71192.31281.1
0.141270.61183.61188.11261.01172.11268.1
0.281257.91172.01131.81240.81152.81253.8
0.491245.91150.61088.01210.51124.51228.7
0.641217.31129.51079.01187.01103.11205.4
0.771194.01108.91085.71168.41086.41183.9
0.871177.31088.81100.21153.21073.11163.9
0.951145.31069.01119.21140.61062.11145.1
1.001133.31056.11133.31133.31055.91133.3
APD from experimental values7.06%6.49%1.34%8.24%0.55%
Table 7. Experimental and Theoretical Ultrasonic velocity of Binary liquid system of Ethanol + 1-Octanol at 303.15 K.
Table 7. Experimental and Theoretical Ultrasonic velocity of Binary liquid system of Ethanol + 1-Octanol at 303.15 K.
Mole Fraction of EthanolUltrasonic
Velocity (Experimental Values) m/s
Theoretical Ultrasonic Velocity (m/s)
Nomoto Relation (UN)Van Dael and Vangeel Relation (Uimr)Impedance Relation (UIR)Rao’s Specific Velocity Relation (UR)Junjie Relation (UJ)
0.001327.51234.61327.51327.51235.31327.3
0.131316.61224.81183.11303.11210.91314.1
0.241307.61214.81109.11281.81190.01300.9
0.331298.61205.51070.41264.41173.31289.0
0.551264.01177.51028.91223.11134.71255.1
0.701239.71150.21032.91193.71108.11224.3
0.811200.41123.51053.41171.61088.61196.3
0.891167.81097.61081.01154.51073.91170.9
0.961146.81073.31110.71141.31062.71148.5
1.001133.31056.11133.31133.31055.91133.3
APD from experimental values6.79%10.10%1.66%8.60%0.33%
Table 8. Molecular interaction properties of binary liquid systems of Ethanol + 1-Hexanol and Ethanol + 1-Octanol at 303.15 K.
Table 8. Molecular interaction properties of binary liquid systems of Ethanol + 1-Hexanol and Ethanol + 1-Octanol at 303.15 K.
Mole Fraction of EthanolAdiabatic Compressibility (β)
(×10−10 m2N−1)
Intermolecular Free Length (Lf)
(×10−11 m)
Free Volume (Vf)
(×10−8 m3mol−1)
Internal Pressure (π) (×108 Pa)Viscous Relaxation Time (τ) (×10−12 s)
Ethanol + 1-Hexanol
0.007.5375.6962.2016.7233.914
0.147.6885.7532.3946.8893.448
0.287.8715.8212.6077.0703.030
0.498.0665.8933.0307.3652.410
0.648.4906.0463.3477.7182.046
0.778.8656.1783.6058.0811.783
0.879.1596.2793.8918.3901.562
0.959.7026.4634.1218.7281.414
1.009.9326.5394.2058.9851.336
Ethanol + 1-Octanol
0.006.9435.4671.5516.4866.011
0.137.0705.5171.7376.6125.157
0.247.1795.5591.9646.6974.410
0.337.2905.6022.1556.8043.889
0.557.7405.7732.4807.3493.015
0.708.1215.9132.9517.6752.348
0.818.7396.1343.3138.0561.967
0.899.2966.3263.6498.4231.688
0.969.6786.4554.0608.6911.446
1.009.9326.5394.2058.9851.336
Table 9. Excess parameters of binary liquid systems of Ethanol + 1-Hexanol and Ethanol + 1-Octanol at 303.15K [27].
Table 9. Excess parameters of binary liquid systems of Ethanol + 1-Hexanol and Ethanol + 1-Octanol at 303.15K [27].
Mole Fraction of EthanolβE
(×10−10 m2N−1)
LfE
(×10−11 m)
πE ×108 PaτE ×10−12 s
Ethanol + 1-Hexanol
0.000.0000.0000.0000.000
0.14−0.191−0.063−0.157−0.096
0.28−0.340−0.112−0.288−0.158
0.49−0.636−0.213−0.458−0.248
0.64−0.590−0.193−0.463−0.205
0.77−0.513−0.166−0.381−0.148
0.87−0.459−0.149−0.298−0.110
0.95−0.115−0.036−0.148−0.044
1.000.0000.0000.0000.000
Ethanol + 1-Octanol
0.000.0000.0000.0000.000
0.13−0.262−0.090−0.198−0.245
0.24−0.490−0.168−0.396−0.465
0.33−0.651−0.223−0.516−0.561
0.55−0.840−0.282−0.505−0.435
0.70−0.908−0.302−0.555−0.400
0.81−0.623−0.201−0.452−0.259
0.89−0.322−0.100−0.299−0.139
0.96−0.135−0.041−0.193−0.076
1.000.0000.0000.0000.000
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Padmanaban, R.; Gayathri, A.; Gopalan, A.I.; Lee, D.-E.; Venkatramanan, K. Comparative Evaluation of Viscosity, Density and Ultrasonic Velocity Using Deviation Modelling for Ethyl-Alcohol Based Binary Mixtures. Appl. Sci. 2023, 13, 7475. https://doi.org/10.3390/app13137475

AMA Style

Padmanaban R, Gayathri A, Gopalan AI, Lee D-E, Venkatramanan K. Comparative Evaluation of Viscosity, Density and Ultrasonic Velocity Using Deviation Modelling for Ethyl-Alcohol Based Binary Mixtures. Applied Sciences. 2023; 13(13):7475. https://doi.org/10.3390/app13137475

Chicago/Turabian Style

Padmanaban, Radhakrishnan, Ahobilam Gayathri, Aanantha Iyengar Gopalan, Dong-Eun Lee, and Kannan Venkatramanan. 2023. "Comparative Evaluation of Viscosity, Density and Ultrasonic Velocity Using Deviation Modelling for Ethyl-Alcohol Based Binary Mixtures" Applied Sciences 13, no. 13: 7475. https://doi.org/10.3390/app13137475

APA Style

Padmanaban, R., Gayathri, A., Gopalan, A. I., Lee, D.-E., & Venkatramanan, K. (2023). Comparative Evaluation of Viscosity, Density and Ultrasonic Velocity Using Deviation Modelling for Ethyl-Alcohol Based Binary Mixtures. Applied Sciences, 13(13), 7475. https://doi.org/10.3390/app13137475

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