Next Article in Journal
A New Model to Calculate Contributions of the Distributed Power
Previous Article in Journal
Application of Wavelet Transform for the Detection of Cetacean Acoustic Signals
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Experimental Investigation of the Impact of Surface Tension and Viscosity on the Atomization Effect of a Solid Cone Nozzle

1
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
2
Sinosteel Maanshan General Institute of Mining Research Co., Ltd., Maanshan 243000, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(7), 4522; https://doi.org/10.3390/app13074522
Submission received: 5 February 2023 / Revised: 7 March 2023 / Accepted: 29 March 2023 / Published: 2 April 2023

Abstract

:
To investigate the influence of surface tension and viscosity on the atomization performance of solid cone nozzles and improve their dust reduction efficiency in industrial and mining enterprises, this study employed a self-built PDPA dust-fog coupling experimental system to explore the effects of different surface tension and viscosity solutions on atomization performance from three aspects: axial, radial, and fog field distribution. The experimental results indicate that compared with surface tension, surface tension has a greater influence on droplet size and velocity in the axial direction. In the radial direction, increasing surface tension and reducing viscosity within a certain range can make the droplet size and velocity distribution more uniform. Additionally, surface tension and viscosity significantly affect the fog field distribution. It was found that a decrease in surface tension can result in a closer proximity of the droplet velocity and size expansion area to the nozzle, while an increase in viscosity can lead to a more prolonged stable area. Furthermore, optimizing the surface tension and viscosity can significantly enhance the efficacy of dust reduction for respirable dust. Consequently, the application of the aforementioned atomization principles to regulate the fog field characteristics of solid cone nozzles can effectively mitigate dust in the production process and augment the dust reduction rate of industrial and mining enterprises.

1. Introduction

Dust pollution has long been a significant environmental and occupational hazard problem in industrial and mining enterprises, and the associated health risks have become a critical concern [1,2,3]. As a result, the development and application of dust suppression technologies have attracted much attention in recent years, and spray dust suppression technology, as one of the most commonly used methods for controlling dust, has received extensive research attention [4,5,6]. The effectiveness of spray dust suppression technology is closely related to the atomization effect of the spray, which can be affected by various factors, such as nozzle parameters, including atomization angle and jet length [7], spray angle [8], and pressure [9]. However, the influence of the physicochemical properties of the spray solution, such as surface tension and viscosity, on the atomization effect has received less attention.
Related studies have shown that surface tension and viscosity can significantly affect the collision and agglomeration behavior of droplets [10,11], which can alter the particle size and velocity distribution of droplets in the spray field and consequently affect the atomization effect. Compared to atomization, factors such as pressure, surface tension, and viscosity have a more significant impact on the atomization effect [12,13]. This is particularly significant in the context of spray dust suppression solutions, as many chemical surfactants have been applied to tackle the pollution problems caused by respirable and hydrophobic dust in recent years. These surfactants can change the surface tension and viscosity of the spray solution [14,15,16], making it essential to investigate the influence of these properties on the atomization effect to improve dust suppression efficiency.
While some scholars have investigated the atomization effect of circular hydraulic nozzles for agricultural use [17] and fan-shaped nozzles for scenic areas [18], current research on the commonly used solid cone nozzles in industrial and mining enterprises is insufficient. Furthermore, few studies have examined the relationship between surface tension, viscosity, and the atomization effect of these nozzles, which is critical for understanding the mechanism of spray dust suppression and optimizing its effectiveness. Therefore, this study aims to investigate the influence of surface tension and viscosity on the atomization effect of solid cone nozzles to improve dust suppression efficiency.
In addition, various instruments and devices can be used to study the relationship between surface tension, viscosity, and atomization effect, including the Malvern laser particle size analyzer [19], holographic particle velocity [20], and image comparison methods [21]. However, the Doppler particle size analyzer has become a highly recognized instrument that can improve testing accuracy and stability with the development of science and technology. Previous studies by Arnab [22], Wang [23], and Nuyttens [24] using the PDPA have provided a theoretical basis for testing the size, velocity, and volume concentration of droplets in the spray field and have accurately processed the data using the PDPA system. This technique can be used to investigate the influence of surface tension and viscosity on the atomization effect of solid cone nozzles.
In response to the limitations identified in the aforementioned study, this study investigated the influence of surface tension and viscosity on the atomization effect of solid cone nozzles using a self-designed PDPA dust-mist coupling experimental system. The atomization principles were applied to adjust the fog field characteristics of solid cone nozzles to improve their dust reduction rate, providing guidance for effective dust reduction in industrial and mining enterprises.

2. Experimental Test Scheme

For this study, dust suppression solutions were prepared with varying surface tensions and viscosities, and an independent dust-mist coupling experimental system was constructed to observe atomization parameters. The experimental system mainly consists of the dust suppression solution, spray nozzle, and a PDPA test system [25,26].

2.1. Dust Suppression Solution Preparation

To better understand the relationship between changes in surface tension and viscosity and the atomization characteristics, as well as to achieve uniformity in the fog field and improve dust removal efficiency, we chose dodecyl alcohol as the preferred experimental test solution based on its wide application, dust suppression effect, and physical and chemical properties. Water was used as the test solution for the control experiment. The mass concentration of the dodecyl solution was set at 2.0% and 5.0%, respectively. The surface tension and viscosity of the dust suppression liquid were measured by the experimental equipment, as shown in Figure 1, with the test environment temperature set at 25 °C and the humidity at 53% RH.
Based on the pre-test results, when the mass concentration of the dodecyl alcohol solution exceeds 5%, its surface tension is similar to that of water, making it unsuitable for comparative experiments with water. Additionally, its viscosity becomes too high, leading to suboptimal dust reduction through the spray and rendering the optimization of atomization effects meaningless. Therefore, the test solutions were selected within a viscosity range of 0.89 × 10−3 Pa·s to 1.46 × 10−3 Pa·s and a surface tension range of 33.6 mN·m−1 to 71.97 mN·m−1. The viscosity gradient is approximately 0.25 × 10−3 Pa·s, and the surface tension gradient is about 20 mN·m−1. Within this range, the surface tension and viscosity of the dust suppression solution can ensure stable spraying without causing nozzle clogging or damage. Moreover, it can be compared with water to systematically explore the relationship between the changes in surface tension and viscosity and the atomization effect.

2.2. Spray Nozzle Preparation

According to the atomization effect of the pre-test and the stability of the nozzle, a solid cone nozzle [27,28] (Taiwan Shaxun TW2010A, Keliying Company, Guangzhou, China) was selected. Its internal structure and injection characteristics are shown in Figure 2.
The sprayer model used in this study is JDT-12A (Redaiyulin Company, Shantou, China), and the experimental pressure is 6 MPa. The study focuses on investigating the axial and radial sizes and velocities of droplets, as well as the development process of the fog field after the solution is sprayed. As depicted in Figure 2, the nozzle atomizes twice to generate a fog field, where the droplets move and collide, fusing and breaking under the influence of surface tension and viscosity.

2.3. PDPA Test Experimental System

The PDPA test system mainly comprises a PDPA tester (TSI corporation, 500 Cardigan Road, Shoreview, MN 55126, USA), a high-pressure spray system, and a closed spray field system, which is shown in Figure 3.
The PDPA tester is composed of two solid-state lasers that generate three groups of lasers with different frequencies [29]. These lasers are dark green (532 nm), yellow (561 nm), and light green (553 nm). The tester employs a laser beam to irradiate the droplets in the droplet flow and captures parameter information such as the droplet size and velocity of the droplets by detecting the reflection of the droplets on the laser beam and the scattered light signals. After receiving the feedback signal, the transmitting device feeds back the signal source to the receiving sensor of the device and uploads the signal to the data system. This process measures the three-dimensional droplet velocity and size of the dust suppression solution in the spray field in a non-contact manner [30,31,32,33]. The basic parameters of the PDPA tester are illustrated in Figure 3.
To reduce the influence of gravity and wind flow on the atomization effect, the nozzles were arranged vertically on the ground. The fog field measurement coordinate system was established with the nozzle as the origin, as shown in Figure 4. In the coordinate system, the Z-axis was perpendicular to the ground, and the X-axis was parallel to the ground. The Z-axis measurement point was calculated from the origin, and the step distance was 20 mm. The X-axis measurement point was centered on the Z-axis origin, and the step distance was 20 mm. To obtain a stable amount of data and ensure the reliability of later data processing, the amount of data collected at each measuring point was not less than 10,000 [34]. The location of the fog field measuring point was represented by the black point in Figure 4.
Diameter Count, Diameter, Time, and Vx, Vy, and Vz can be obtained by the data acquisition system of the PDPA tester, as shown in Figure 5.
Diameter Count is the drop count; Diameter is the droplet size; Time is the instantaneous time when the system collects the droplets; Vx is the velocity value in the X-axis direction.
During the experimental process, the prepared solution was sprayed into the PDPA experimental chamber through a spray system to form a stable fog field. The PDPA sampling points were adjusted to the origin according to the above-mentioned arrangement of the fog field for measurement, and the atomization parameters of each measuring point in the fog field were tested sequentially according to the step size.

3. Experimental Data Processing Method

In this experiment, we measured the droplet size and velocity of a spray field under different surface tensions and viscosities. The supporting data software system was used to collect the original experimental data, such as real-time droplet size and three-dimensional velocity of droplets. To conduct a scientific analysis and comparison of the large volume of data collected, the Sauter Mean Diameter (SMD) method was selected to analyze the original data. The SMD calculation formula is expressed as follows [35,36]:
S M D = N i D i 3 N i D i 2 ,
where SMD is the Sauter Mean Diameter, V is the volume frequency of droplets, D is the droplet diameter, and Σ represents the summation of data. This method provides an accurate and reliable way to analyze the data obtained from the experiment and helps to explore the relationship between surface tension and viscosity and the atomization efficiency of solid cone nozzles.
The original velocity X , Y , and Z are analyzed and processed by the transformation matrix method to obtain V x , V y , and V z test data, and the transformation matrix is as follows:
x y z = E 1 x E 1 y E 1 z E 2 x E 2 y E 2 z E 3 x E 3 y E 3 z V x V y V z .
With the data collection method described above, we experimentally measured the droplet size and velocity at 9 measuring points in the axial section of the spray field (X = 0 cm), 9 measuring points in the radial section of the spray field (Z = 15 cm), and 56 other measuring points in the spray field space. These measurements were taken to obtain a comprehensive understanding of the atomization efficiency and the distribution of droplets in the spray field under different surface tensions and viscosities.
When analyzing the impact of surface tension and viscosity on the atomization process, the primary approach involves the application of fluid mechanics and behavior theories. Research findings indicate that during the atomization process, spray droplets are primarily influenced by surface tension, viscous forces, inertial forces, gravity, and gas resistance [37]. The balance equation for the comprehensive force acting on the droplet is expressed in Equation (3):
F S + F v + F i + F g + F a = m ( d 2 r d t 2 ) ,
where F S is surface tension force, F v is viscous force, F i is inertial force, F g is gravity, F a is gas resistance, m is the mass of the droplet, and ( d 2 r ) / ( d t 2 ) is the acceleration of the droplet.
In the case of surfactant solution, the droplets formed by atomization have small droplet size and high dispersion, leading to the negligible effects of gravity and gas resistance during the spraying process. The relationship between viscous force and inertial force follows the Reynolds dimensionless constant, which can be expressed as Equation (2):
R e = ρ V d μ ,
where R e is the Reynolds number, ρ is the density of the liquid, V is the velocity of the droplet, d is the diameter of the droplet, and μ is the viscosity coefficient of the liquid.
According to the molecular dynamics theory, the dynamic viscosity coefficient is as follows:
μ ρ l V ,
where V is the average velocity of molecules, and l is the average free path of molecules.
Substituting Equation (3) into Equation (2), Equation (4) is obtained.
Re V d l V
During the atomization process, the droplet size is much smaller than the characteristic length, resulting in a low Reynolds number (Re). In the process of surfactant atomization, the effect of viscous force is much greater than that of inertial force due to the low Re value. Therefore, the surface tension and viscous force have a significant impact on the velocity and particle size of the droplets, playing a dominant role in the formation of the fog field.

4. Experimental Results and Discussion

4.1. Droplet Size and Velocity Distribution on Axis Direction

The impact of surface tension and viscosity on axis droplets can be assessed by analyzing the droplet velocity and size at nine different points along the axis of the fog field, ranging from Z = 3 cm to Z = 19 cm. The relationship between surface tension, viscosity, and droplet size is presented in Figure 6.
The results shown in Figure 6 reveal that the droplet size of the tested dust suppression solution increases steadily and continuously from Z = 3 cm to Z = 13 cm, and the increasing rates of droplet size for all three types of droplets exceed 100%. Specifically, the 2% dodecyl alcohol solution has the smallest droplet size, while the droplet size difference between 5% dodecyl alcohol and pure water solution is not significant. Decreasing the surface tension (approximately every decrease of 20 mN·m−1) tends to make the droplet size smaller while increasing the viscosity (approximately every increase of 0.25 × 10−3 Pa·s) tends to make the droplet size larger. In the axial direction, although the surface tension of the 5% dodecyl solution relative to water decreased by 25.4% and the viscosity increased by 64%, the droplet size did not change significantly. Therefore, to optimize the atomization effect, a small reduction in surface tension can effectively decrease the droplet size, while a large adjustment in viscosity is required to increase the droplet size. Moreover, in the axial direction, adjusting surface tension appears to be more effective than adjusting viscosity.
The droplet sizes of the three solutions fluctuated between Z = 13 cm and Z = 19 cm, where the surface tension increased from 33.6 mN·m−1 to 71.97 mN·m−1 and the viscosity increased from 0.89 × 10−3 Pa·s to 1.46 × 10−3 Pa·s. However, no significant difference in droplet size was observed within this range. This interval is located at the edge of the fog zone, and the changes in droplet size are less affected by surface tension and viscosity.
The velocity changes of droplets with different dust suppression solutions are presented in Figure 7. It is observed that the droplet velocity gradually decreases from Z = 3 cm to Z = 13 cm along the axial direction. At Z = 3 cm, the droplet velocity of the 2% dodecyl alcohol solution with the smallest surface tension reaches 12.8 m/s, which is twice that of water. As compared to the 2% dodecyl alcohol solution, the droplet velocity of the 5% dodecyl alcohol solution decreases by 34.0%, with an increase of 30.4% in viscosity. This is due to the fact that the kinetic energy generated by the atomized droplets at the nozzle outlet is higher than the surface tension energy, which causes the droplets to continue breaking up and forming droplets with higher velocity. However, with the increase of viscosity, the viscous interaction between the broken droplets increases, resulting in velocity attenuation and increased particle size, which is consistent with the trend observed in Figure 6.
Between Z = 13 cm and Z = 19 cm, the droplet velocity of dodecyl alcohol solution and pure water did not show a significant difference; instead, it remained in a fluctuating state. This is mainly due to the location of this interval, which is at the edge of the fog field, where droplets are more susceptible to environmental factors, resulting in the weakening of the influence of surface tension and viscosity on the atomized droplets.
Based on the above discussion, it can be concluded that in the range of Z = 3 cm to Z = 13 cm, the droplet size is the smallest, and the velocity is the largest when the surface tension is 33.6 mN·m−1 and the viscosity is 1.12 × 10−3 Pa·s. In the interval from Z = 13 cm to Z = 19 cm, there is no significant difference in droplet velocity and size among the three solutions, and they are in a fluctuating state. Changes in surface tension and viscosity within the core atomization region (Z = 3 cm to Z = 13 cm) can significantly affect droplet velocity and size. Near the nozzle (Z = 3 cm), viscosity has a more significant effect on droplet size and velocity than surface tension. In the edge region of atomization, neither viscosity nor surface tension have significant effects.

4.2. Droplet Size and Velocity Distribution on Radial Direction

Based on the analysis of the surface tension and viscosity change in the axial direction, this study further investigates the effect of these factors on droplet size in the radial direction. The Z = 15 cm section was selected for analysis and discussion due to its section position, data amount, and quality. Figure 8 shows the variation of droplet size in the radial direction under different surface tension and viscosity conditions.
As shown in Figure 8, the droplet size exhibits two stages of change as the radial distance increases. The first stage occurs between X = |0| cm and X = |4| cm, during which the droplet size increases rapidly. This phenomenon can be attributed to two reasons. First, droplets with lower surface tension at the center of the radial section are more prone to breaking, forming high-speed small droplets due to the impact of internal energy. However, due to increased viscosity, these droplets are more likely to collide with surrounding droplets during radial movement, forming larger droplets. Second, during the radial expansion of droplets, heat exchange occurs between high-viscosity droplets, resulting in inelastic collisions and rapid droplet size increase. During the diffusion process, the surface tension of 2% dodecyl alcohol solution was 38.37 mN·m−1 lower than that of pure water, the viscosity increased by 0.23 × 10−3 Pa·s, and the droplet size increased by 70 μm. Thus, the interplay between surface tension and viscosity causes a rapid droplet size increase during radial movement.
The second stage of droplet size change occurs between X = |4| cm and X = |8| cm, during which the droplet size increases slowly. The droplet size of the dodecyl solution at X = |4| cm was not significantly different from that of pure water. In this stage, changes in surface tension and viscosity had no significant effect on droplet velocity. It can be seen that in the process of optimizing the fog field, the surface tension should be properly reduced to keep the droplet at the radial center with a smaller droplet size. At the same time, it is necessary to reduce the viscosity of the dust suppression solution so that the droplets increase steadily in the first radial expansion process and smoothly transition to the second stage so that the fog field maintains a large coverage area and uniform droplet size distribution.
The variation of radial droplet velocity is depicted in Figure 9, which shows a two-stage change, with the first rapid decline followed by a slow decline. The velocity of the dust suppression solution reaches 0 m/s at X= |8| cm, which is due to the balance of surface tension, viscous force, inertial force, and air resistance of the droplet at the edge of the fog field, leading to slow droplet movement only under the influence of gravity. Between X = 0 cm and X = |2| cm, the droplet velocity of 2% dodecyl solution reduces by 53%, and that of 5% dodecyl solution reduces by 51%, with a much higher droplet velocity reduction rate of dust suppression solution compared to pure water. This indicates that the velocity of high-viscosity droplets drops faster during the change of radial expansion. Combining the analysis of Figure 8, it can be inferred that, in the process of optimizing the fog field, reducing surface tension can ensure small droplet size and large velocity at the radial center while reducing viscosity can prevent sudden changes in droplet size and velocity during radial expansion.

4.3. Joint Distribution Law of Droplet Size and Velocity

The atomization process of the spray mist field is divided into five stages [13,38,39], as shown in Figure 10a. After conducting measurements and processing data from measuring points in the fog field, the influence of surface tension and viscosity of the dust suppression liquid on the overall distribution of the fog field was analyzed, and the results are presented in Figure 10. Figure 10a is a legend diagram, while Figure 10b–d are the development diagrams of pure water, 2% dodecyl alcohol, and 5% dodecyl alcohol fog fields, respectively. The color variation in the figure indicates the speed of the droplet, and the size of the colored sphere in the figure indicates the diameter of the droplet.
Figure 10b shows that the droplet size of pure water increases from 336 μm to 450 μm at Z = 11 cm, indicating an increase of 33.9%. The droplet velocity also decreased from 5.02 m/s to 3.22 m/s, a drop of 35.8%. The droplet size and velocity expansion phase occurred at Z = 11 cm. The particle size and velocity of pure water droplets were stable between Z = 15 cm and Z = 17 cm. The droplet size and velocity expansion phase of the 2% dodecyl solution was between Z = 9 cm and Z = 11 cm, and the droplet size and velocity stabilization phase lasted between Z = 11 cm and Z = 15 cm. Compared with pure water, the 2% lauryl alcohol solution had an earlier expansion period and a more continuous stable period. The droplet size and velocity expansion phase of the 5% dodecyl solution were the same as that of the 2% dodecyl solution, but the droplet size and velocity stabilization phase were more continuous, ranging from Z = 11 cm to Z = 17 cm. The comparative analysis shows that the droplet size and velocity expansion period are closer to the nozzle when the surface tension is 33.6 mN·m−1 (the smallest among the three solutions), and the stable region is more continuous when the viscosity is 1.12 × 10−3 Pa·s (the largest among the three solutions).

5. Dust Suppression Experiment

By varying the surface tension and viscosity of the spray solution, the atomization effect of the solid cone nozzle can be observed under different conditions. However, we need to explore how to reduce the dust by optimizing the spray parameters. Therefore, measuring the dust removal rate in the experiment can provide a practical reference for application, further demonstrating the significant impact of surface tension and viscosity changes on spray dust removal. This can provide practical guidance for industrial and mining industries. The corresponding dust-fall rates are displayed in Table 1.
The above table shows that the dust reduction rate of dodecyl alcohol solution is higher than that of pure water. As the surface tension decreases from 71.97 mN·m−1 to 33.60 mN·m−1 and the viscosity increases from 0.89 × 10−3 Pa·s to 1.12 × 10−3 Pa·s, the rate of dust suppression increases. The distribution characteristics of the fog field indicate that the reduction of surface tension causes the expansion region of the droplet to be closer to the nozzle, while the increase of viscosity makes the stable region of the droplet more continuous. This leads to more uniform droplet size and velocity distribution in the fog field, resulting in an improvement in the dust suppression rate. In comparison with the dust fall rate of full dust and respirable dust, the dust reduction rate of total dust using 2% dodecyl alcohol solution is 13.58% higher than that of pure water, while the dust reduction rate of respirable dust is 17.67% higher than that of pure water. Under the same working conditions, changing the surface tension and viscosity can more significantly affect the dust fall rate of respirable dust.

6. Research Conclusions

Through experimental investigation, this study examined the influence of surface tension (ranging from 33.60 mN·m−1 to 71.97 mN·m−1) and viscosity (ranging from 0.89 × 10−3 to 1.46 × 10−3 Pa·s) on the atomization effect of solid cone nozzles, and adjusted the atomization effect based on the observed influence. Field dust suppression experiments were then conducted, leading to the following conclusions:
(1)
It is crucial to ensure that the dust-fog coupling is situated in the core area of the fog field, where alterations in surface tension and viscosity significantly affect droplet size and velocity, facilitating better merging with dust particles for sedimentation. Along the axial direction of the fog field, modifying surface tension is more effective than modifying viscosity in achieving droplet size and velocity matching with dust particles. In the radial direction, reducing surface tension and increasing viscosity will cause uneven distribution of droplet size and velocity in the radial section.
(2)
To achieve a uniform fog field for effective dust suppression, reducing surface tension is necessary to promote the expansion of the fog field area closer to the nozzle, while increasing viscosity is necessary to ensure the stability of the fog field in the stable region.
(3)
It has been indicated by the experimental results that the dust reduction efficiency of respirable dust compared to total dust can be significantly enhanced by altering the surface tension and viscosity of the solution in the solid cone nozzle. Therefore, it is necessary to optimize the surface tension and viscosity of the dust reduction solution in the respiratory dust collection zone to improve the working environment during actual production operations.

Author Contributions

Conceptualization, G.L.; Writing—original draft, H.Y.; Writing—review & editing, J.W. and J.T.; Supervision, M.L.; Funding acquisition, G.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Postgraduate Innovative Project of Central South University (Project No. 2021XQLH004).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Beck, T.W.; Seaman, C.E.; Shahan, M.R.; Mischler, S.E. Open-air sprays for capturing and controlling airborne float coal dust on longwall faces. Min. Eng. 2018, 70, 42–48. [Google Scholar] [CrossRef] [PubMed]
  2. Wang, P.; Han, H.; Tian, C.; Liu, R.; Jiang, Y. Experimental study on dust reduction via spraying using surfactant solution. Atmos. Pollut. Res. 2020, 11, 32–42. [Google Scholar] [CrossRef]
  3. Zhao, X.; Zhao, X.; Han, F.; Song, Z.; Wang, D.; Fan, J.; Jia, Z.; Jiang, G. A research on dust suppression mechanism and application technology in mining and loading process of burnt rock open pit coal mines. J. Air Waste Manag. Assoc. 2021, 71, 1568–1584. [Google Scholar] [CrossRef] [PubMed]
  4. Soni, S.K.; Kolhe, P.S. Liquid jet breakup and spray formation with annular swirl air. Int. J. Multiph. Flow 2021, 134, 103474. [Google Scholar] [CrossRef]
  5. Wang, P.; Tan, X.; Zhang, L.; Li, Y.; Liu, R. Influence of particle diameter on the wettability of coal dust and the dust suppression efficiency via spraying. Process Saf. Environ. Prot. 2019, 132, 189–199. [Google Scholar] [CrossRef]
  6. Ma, Q.; Nie, W.; Yang, S.; Xu, C.; Peng, H.; Liu, Z.; Guo, C.; Cai, X. Effect of spraying on coal dust diffusion in a coal mine based on a numerical simulation. Environ. Pollut. 2020, 264, 114717. [Google Scholar] [CrossRef]
  7. Nie, W.; Ma, X.; Cheng, W.; Liu, Y.; Xin, L.; Peng, H.; Wei, W. A novel spraying/negative-pressure secondary dust suppression device used in fully mechanized mining face: A case study. Process Saf. Environ. Prot. 2016, 103, 126–135. [Google Scholar] [CrossRef]
  8. Yinshui, L.; Zhuo, J.; Dan, W.; Xiaohui, L. Experimental research on the water mist fire suppression performance in an enclosed space by changing the characteristics of nozzles. Exp. Therm. Fluid Sci. 2014, 52, 174–181. [Google Scholar] [CrossRef]
  9. Wang, H.; Wu, J.; Du, Y.; Wang, D. Investigation on the atomization characteristics of a solid-cone spray for dust reduction at low and medium pressures. Adv. Powder Technol. 2019, 30, 903–910. [Google Scholar] [CrossRef]
  10. Goren, S.L.; Gottlieb, M. Surface-tension-driven breakup of viscoelastic liquid threads. J. Fluid Mech. 1982, 120, 245–266. [Google Scholar] [CrossRef]
  11. Soboleva, O.A.; Tsarkova, L.A. Surface Properties of Aqueous Solutions of Mixtures of Sodium Dodecyl Sulphate and Linalool under Equilibrium and Dynamic Conditions. Colloid J. 2020, 82, 437–447. [Google Scholar] [CrossRef]
  12. Sun, D.; Cai, W.; Li, C.; Lu, J. Experimental study on atomization characteristics of high-energy-density fuels using a fuel slinger. Energy 2021, 234, 121222. [Google Scholar] [CrossRef]
  13. Wang, J.; Xu, C.; Zhou, G.; Zhang, Y. Spray Structure and Characteristics of a Pressure-Swirl Dust Suppression Nozzle Using a Phase Doppler Particle Analyze. Processes 2020, 8, 1127. [Google Scholar] [CrossRef]
  14. Kovalchuk, N.M.; Simmons, M.J.H. Effect of soluble surfactant on regime transitions at drop formation. Colloids Surf. Physicochem. Eng. Asp. 2018, 545, 1–7. [Google Scholar] [CrossRef]
  15. Yang, L.; Ge, S.; Huang, Z.; Jing, D.; Chen, X. The influence of surfactant on the wettability of coal dust and dust reduction efficiency. Arab. J. Geosci. 2021, 14, 1336. [Google Scholar] [CrossRef]
  16. George, J.E.; Chidangil, S.; George, S.D. A study on air bubble wetting: Role of surface wettability, surface tension, and ionic surfactants. Appl. Surf. Sci. 2017, 410, 117–125. [Google Scholar] [CrossRef]
  17. Butler Ellis, M.C.; Tuck, C.R.; Miller, P.C.H. How surface tension of surfactant solutions influences the characteristics of sprays produced by hydraulic nozzles used for pesticide application. Colloids Surf. Physicochem. Eng. Asp. 2001, 180, 267–276. [Google Scholar] [CrossRef]
  18. Wang, R.; Dorr, G.; Hewitt, A.; Cooper-White, J. Impacts of polymer/surfactant interactions on spray drift. Colloids Surf. Physicochem. Eng. Asp. 2016, 500, 88–97. [Google Scholar] [CrossRef] [Green Version]
  19. Dodge, L.G.; Rhodes, D.J.; Reitz, R.D. Drop-size measurement techniques for sprays: Comparison of Malvern laser-diffraction and Aerometrics phase/Doppler. Appl. Opt. 1987, 26, 2144–2154. [Google Scholar] [CrossRef]
  20. Choo, Y.J.; Seon, K.B. Development of holographic Particle Velocimetry System an Its Application to Spay Droplets. J. ILASS Korea 2005, 10, 17–28. [Google Scholar]
  21. Wang, X.; Wu, X.; Liao, G.; Wei, Y.; Qin, J. Characterization of a water mist based on digital particle images. Exp. Fluids 2002, 33, 587–593. [Google Scholar] [CrossRef]
  22. Mallik, A.K.; Sarma, T.P.; Roy, A.; Panchagnula, M.V.; Seshadri, S. Phase Doppler Particle Analyser (Pdpa) Characterization and Modeling of Sprays from Orthogonally Interacting Water and Air Jets. J. Flow Vis. Image Process. 2020, 27, 199–217. [Google Scholar] [CrossRef]
  23. Wang, H.; Du, Y.; Wei, X.; He, X. An experimental comparison of the spray performance of typical water-based dust reduction media. Powder Technol. 2019, 345, 580–588. [Google Scholar] [CrossRef]
  24. Nuyttens, D.; Baetens, K.; De Schampheleire, M.; Sonck, B. Effect of nozzle type, size and pressure on spray droplet characteristics. Biosyst. Eng. 2007, 97, 333–345. [Google Scholar] [CrossRef]
  25. Murugan, R.; Balusamy, S.; Kolhe, P. Experimental Study of Liquid Spray Mode of Twin Fluid Atomizer Using Optical Diagnostic Tool. Flow Turbul. Combust. 2021, 106, 261–289. [Google Scholar] [CrossRef]
  26. Shin, J.; Kim, D.; Seo, J.; Park, S. Effects of the physical properties of fuel on spray characteristics from a gas turbine nozzle. Energy 2020, 205, 118090. [Google Scholar] [CrossRef]
  27. Cheng, W.; Ma, Y.; Yang, J.; Sun, B. Effects of atomization parameters of dust removal nozzles on the de-dusting results for different dust sources. Int. J. Min. Sci. Technol. 2016, 26, 1025–1032. [Google Scholar] [CrossRef]
  28. Yu, Y.; Li, G.; Wang, Y.; Ding, J. Modeling the atomization of high-pressure fuel spray by using a new breakup model. Appl. Math. Model. 2016, 40, 268–283. [Google Scholar] [CrossRef]
  29. Husted, B.P.; Petersson, P.; Lund, I.; Holmstedt, G. Comparison of PIV and PDA droplet velocity measurement techniques on two high-pressure water mist nozzles. Fire Saf. J. 2009, 44, 1030–1045. [Google Scholar] [CrossRef]
  30. Lai, W.T.; Zhang, X.; Yan, T.; Xu, D. Measurements of velocity and droplet sizing in industrial applications using non-invasive laser systems. J. Phys. Conf. Ser. 2020, 1600, 012026. [Google Scholar] [CrossRef]
  31. McDermott, K.; Oakley, J.G. Droplet Size and Distribution of Nebulized 3% Sodium Chloride, Albuterol, and Epoprostenol by Phase Doppler Particle Analyzer. Curr. Ther. Res. 2021, 94, 100623. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, B.; Gao, D.; Li, Y.; Chen, C.; Yuan, X.; Wang, Z.; Sun, P. Investigation of the droplet characteristics and size distribution during the collaborative atomization process of a twin-fluid nozzle. Int. J. Adv. Manuf. Technol. 2020, 107, 1625–1639. [Google Scholar] [CrossRef]
  33. Chang, M.; Yu, Y.S.; Park, S.; Park, S. Spray dynamics and atomization characteristics of multi-hole GDI injectors under flash boiling conditions. Appl. Therm. Eng. 2022, 200, 117626. [Google Scholar] [CrossRef]
  34. Wu, H.; Zhang, F.; Zhang, Z.; Hou, L. Atomization and droplet dynamics of a gas-liquid two-phase jet under different mass loading ratios. Int. J. Multiph. Flow 2022, 151, 104043. [Google Scholar] [CrossRef]
  35. Babinsky, E.; Sojka, P.E. Modeling drop size distributions. Prog. Energy Combust. Sci. 2002, 28, 303–329. [Google Scholar] [CrossRef]
  36. Mugele, R.A.; Evans, H.D. Droplet Size Distribution in Sprays. Ind. Eng. Chem. 1951, 43, 1317–1324. [Google Scholar] [CrossRef]
  37. Feng, Z.; Tong, S.; Tang, C.; Zhan, C.; Nishida, K.; Huang, Z. Decoupling the Effect of Surface Tension and Viscosity on Spray Characteristics Under Different Ambient Pressures: Near-Nozzle Behavior and Macroscopic Characteristics. At. Sprays 2019, 29, 629–654. [Google Scholar] [CrossRef]
  38. Fansler, T.D.; Parrish, S.E. Spray measurement technology: A review. Meas. Sci. Technol. 2015, 26, 012002. [Google Scholar] [CrossRef]
  39. Deshpande, S.; Gao, J.; Trujillo, M.F. Characteristics of Hollow Cone Sprays in Crossflow. At. Sprays 2011, 21, 349–361. [Google Scholar] [CrossRef]
Figure 1. Basic parameters of the dust suppression solution.
Figure 1. Basic parameters of the dust suppression solution.
Applsci 13 04522 g001
Figure 2. Schematic diagram of the internal structure of the nozzle and the characteristics of the fog field.
Figure 2. Schematic diagram of the internal structure of the nozzle and the characteristics of the fog field.
Applsci 13 04522 g002
Figure 3. PDPA test experimental system.
Figure 3. PDPA test experimental system.
Applsci 13 04522 g003
Figure 4. Spray structure and measuring point layout.
Figure 4. Spray structure and measuring point layout.
Applsci 13 04522 g004
Figure 5. Experimental data processing process.
Figure 5. Experimental data processing process.
Applsci 13 04522 g005
Figure 6. Droplet size distribution on axis direction.
Figure 6. Droplet size distribution on axis direction.
Applsci 13 04522 g006
Figure 7. Droplet velocity distribution on the axis direction.
Figure 7. Droplet velocity distribution on the axis direction.
Applsci 13 04522 g007
Figure 8. Droplet size distribution on the radial direction.
Figure 8. Droplet size distribution on the radial direction.
Applsci 13 04522 g008
Figure 9. Droplet velocity distribution on the radial direction.
Figure 9. Droplet velocity distribution on the radial direction.
Applsci 13 04522 g009
Figure 10. Joint distribution of droplet size and velocity: (a) Legend, (b) Water, (c) 2% dodecyl alcohol, (d) 5%dodecyl alcohol.
Figure 10. Joint distribution of droplet size and velocity: (a) Legend, (b) Water, (c) 2% dodecyl alcohol, (d) 5%dodecyl alcohol.
Applsci 13 04522 g010
Table 1. Dust fall rate of test solution.
Table 1. Dust fall rate of test solution.
Solution TypeSurface Tension (mN·m−1)Viscosity (10−3 Pa·s)Before Spraying (mg/m3)After Spraying (mg/m3)Dust Suppression Efficiency (%)
Total DustRespirable DustTotal DustRespirable DustTotal DustRespirable Dust
Pure water71.970.8919.454.706.501.5366.5267.44
2% dodecyl solution33.601.1219.454.703.700.7080.1085.11
5% dodecyl solution53.701.4619.454.704.801.0075.3278.72
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Li, M.; Yang, H.; Wang, J.; Li, G.; Tang, J. An Experimental Investigation of the Impact of Surface Tension and Viscosity on the Atomization Effect of a Solid Cone Nozzle. Appl. Sci. 2023, 13, 4522. https://doi.org/10.3390/app13074522

AMA Style

Li M, Yang H, Wang J, Li G, Tang J. An Experimental Investigation of the Impact of Surface Tension and Viscosity on the Atomization Effect of a Solid Cone Nozzle. Applied Sciences. 2023; 13(7):4522. https://doi.org/10.3390/app13074522

Chicago/Turabian Style

Li, Ming, Huaizhen Yang, Junjian Wang, Gang Li, and Jiao Tang. 2023. "An Experimental Investigation of the Impact of Surface Tension and Viscosity on the Atomization Effect of a Solid Cone Nozzle" Applied Sciences 13, no. 7: 4522. https://doi.org/10.3390/app13074522

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop