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Proceeding Paper

The Latest Method for Surface Tension Determination: Experimental Validation †

by
Tomasz Janusz Teleszewski
and
Andrzej Gajewski
*
Department of HVAC Engineering, Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, 15-351 Białystok, Poland
*
Author to whom correspondence should be addressed.
Presented at the 9th Innovations-Sustainability-Modernity-Openness Conference (ISMO’20), Bialystok, Poland, 20–21 May 2020.
Proceedings 2020, 51(1), 3; https://doi.org/10.3390/proceedings2020051003
Published: 15 July 2020

Abstract

:
The newest method for determining surface tension is being validated, which is done for the air–water interface. Since the relative differences between the benchmark values and the experimental results are very small, the newest method seems to be validated in a positive way.

1. Introduction

Technological progress in energy-saving causes heat transfer to be done during boiling more often [1]. Heat transfer investigation during combustion results in introducing surface tension into the calculation algorithms [2,3]. Forasmuch as new substances are coming into being, the surface tension values must be measured [4]. Surface tension is a factor which affects water injection in the engines [5].
Surface tension is mainly determined using the Young–Laplace equation:
Δ p = γ ( 1 R 1 + 1 R 2 ) [ N m m 2 ] ,
where:
Δp—pressure difference between two sides of the interface in the bulk phases [N/m2];
γ—surface tension [N/mm];
R1, R2—the main radii of curvature [mm].
The Young–Laplace Equation (1) is solved by applying Bushworth and Adams’ system of differential equations (cf. pp. 162–163 in Hartland and Hartley [6]), which was modified to the particular needs.
However, there is a failure of the algorithm in the case of the spherical drop or bubble, and there are no solutions near the poles. Hoorfar and Neumann [7] concluded that there is an inherent difficulty and no numerical change to improve the algorithm. It means that the algorithm is unable to solve the equation for the whole either drop or bubble. There is a moment when a bubble has just been created and has yet been motionless. At this particular moment, the forces’ origin is only from two fluids and the bubble is at rest, which is the closest approximation of the presumptions. Although the present cameras are able to make a still at this moment, the Young–Laplace equation cannot be applied because of the lack of the solutions at the poles.
Contemporary Interface Model
In contrast, a new analytical model fails neither at the poles nor for spherical drops or bubbles. In addition, it can be differentiated at the poles (cf. Gajewski [8,9]). In the case of the bubbles, the following system of equations is solved (cf. Gajewski [10]):
d m a x = ( H + ( H 2 8 a 2 cos θ m a x ) 1 2 ) tan θ m a x [ m m ] ,
h m a x = 1 2 ( + ( H 2 8 a 2 cos θ m a x ) 1 2 ( H 2 + 8 a 2 ) 1 2 ) [ m m ] ,
0 = H 2 + H ( H 2 8 a 2 cos θ m a x ) 1 2 4 a 2 cos θ m a x ( 1 + cos θ m a x 2 ) [ m m ] ,
where:
H—hydraulic head at the origin [mm];
dmax [mm], hmax [mm], and θmax [rad] are the sizes at the widest diameter of the bubble and they are negative numbers in the case of the bubbles;
a—capillary constant is defined below [mm]:
a 2 = γ ( ρ d l ρ l f ) g [ m m 2 ]   ,
where:
g—gravitational acceleration [m/s2];
ρdl—density of denser liquid [kg/mm3];
ρlf—density of lighter fluid [kg/mm3].
There is a seeking of solutions of three variables—a2, H, and cosθmax—while the dimensions of dmax and hmax are taken from a still. In the case of the bubble, the radial distance r, polar angle θ, hydraulic head at the origin H, the widest diameter dmax, and one’s distance from the apex hmax are the negative numbers.
The system of the Equations (2)–(4) is solved in two systems of the equations,
cos θ m a x = 1 h m a x 2 a 2 [ h m a x + ( H 2 + 8 a 2 ) 1 2 ] [ ] ,
H = d m a x cos θ m a x ( 1 cos 2 θ m a x ) 1 2 + 4 a 2 d m a x ( 1 cos 2 θ m a x ) 3 2 [ m m ] ,
a 2 = d m a x 8 ( 1 cos 2 θ m a x ) [ 2 H ( 1 cos 2 θ m a x ) 1 2 d m a x cos θ m a x ] [ m m 2 ] ,
or
4 h max 2 cos θ m a x ( 1 cos θ m a x ) + 2 h m a x d m a x ( 1 cos θ m a x ) ( 1 cos 2 θ m a x ) 1 2 d max 2 = 0 [ m m 2 ] ,
a = d m a x 2 [ 2 cos θ m a x ( 1 cos 2 θ m a x ) ] 1 2 [ m m ] ,
a = h m a x ( 2 cos θ m a x ) 1 2 [ ( 1 + cos 2 θ m a x ) 2 + 4 cos θ m a x ] 1 2 1 + cos 2 θ m a x [ m m ] ,
H = a ( 1 + cos 2 θ m a x ) ( 2 / cos θ m a x ) 1 2 [ m m ] .
A validation of the newest method is the aim of the paper, which will be done using the values of surface tension for the interface of air and water.

2. The Experiment

An air bubble flowed out from the nozzle and was recorded by a high-speed camera. Its picture was observed in the monitor and recorded on a hard disc. An electric heater provided a desired water temperature, while an air temperature equalizer made the same temperature of air, which flowed from a compressor through the plenum tank. The proper probes provided measurement of the thermodynamic parameters, which were necessary to determine the fluids’ properties.

3. Determining Specific Gravity of the Fluids

Gravitational acceleration was determined for the geographic data in the location. Density of water was taken from a table, while density of moist air is as follows:
ρ a i r = p a i r + φ p s a t ( R a i r R v 1 ) T R a i r [ k g m m 3 ] ,
where:
pair—absolute pressure [N/mm2];
ϕ—relative humidity [-];
Rair—specific gas constant for air [mJ/(kg·K)];
Rv—specific gas constant for water vapor [mJ/(kg·K)];
T—absolute temperature [K].
Since capillary constant, gravitational acceleration, and density of the fluids were determined, surface tension was calculated from Equation (5), as shown in Figure 1.

4. Discussion

Since the relative errors between Çengel and Cimbala’s [11] data and the experimental results are extremely small, it is justified to say that the validation of the newest method for surface tension determination has been successful.

Author Contributions

A.G. and T.J.T. conceived and designed the experiments; A.G. and T.J.T. performed the experiments; T.J.T. analyzed the data; A.G. and T.J.T. contributed reagents/materials/analysis tools; A.G. wrote the paper. All authors have read and agreed to the published version of the manuscript.

Acknowledgments

The scientific research was financed by Bialystok University of Technology as a Dean’s project at the Department of HVAC Engineering S/WBiIŚ/4/2017 and was subsidized by the Ministry of Science and Higher Education Republic of Poland from the funding for statutory R&D activities. The paper was prepared using equipment which was purchased thanks to a project entitled “INNO – EKO – TECH” Innovative research and didactic center for alternative energy sources, energy efficient construction and environmental protection.

Conflicts of Interest

The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

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Figure 1. The comparison with Çengel and Cimbala [11] data as the benchmark. The relative errors between the benchmark data and the experiment are attached as the labels.
Figure 1. The comparison with Çengel and Cimbala [11] data as the benchmark. The relative errors between the benchmark data and the experiment are attached as the labels.
Proceedings 51 00003 g001
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MDPI and ACS Style

Teleszewski, T.J.; Gajewski, A. The Latest Method for Surface Tension Determination: Experimental Validation. Proceedings 2020, 51, 3. https://doi.org/10.3390/proceedings2020051003

AMA Style

Teleszewski TJ, Gajewski A. The Latest Method for Surface Tension Determination: Experimental Validation. Proceedings. 2020; 51(1):3. https://doi.org/10.3390/proceedings2020051003

Chicago/Turabian Style

Teleszewski, Tomasz Janusz, and Andrzej Gajewski. 2020. "The Latest Method for Surface Tension Determination: Experimental Validation" Proceedings 51, no. 1: 3. https://doi.org/10.3390/proceedings2020051003

APA Style

Teleszewski, T. J., & Gajewski, A. (2020). The Latest Method for Surface Tension Determination: Experimental Validation. Proceedings, 51(1), 3. https://doi.org/10.3390/proceedings2020051003

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