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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The Methodology of Numerical Simulations of Separation Process in SPR-Separator</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Sumy State University</institution>
          ,
          <addr-line>2 Rymskogo-Korsakova St., 40007 Sumy</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Technical University of Kosice</institution>
          ,
          <addr-line>1 Bayerova St., 080 01 Presov</addr-line>
          ,
          <country country="SK">Slovakia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>1942</year>
      </pub-date>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>The article describes the methodology of hydrocyclone SPR separator numerical simulation, which is used for oil lubricant and liquid impurities separation on technological lines of circulation lubrication of metallurgical machines. The methodology of hydrocyclone SPR separator numerical simulation was developed with taking into account up-to-date articles about the study of hydrocyclone equipment. It was done for determining the relation between the main structural dimensions of the device and the flow parameters, as well as the separation efficiency of the heterogeneous inlet mixture. Numerical simulations were performed by using ANSYS namely its module Fluent Flow. The methodology of the finite volume computational grid building was described. This methodology takes into account the geometry features of the model, such as the presence of surfaces curvature and small gaps compared to other linear dimensions. Settings of the Fluent module was described with design features of the SPR-separator and its working parameters. Eulerian multiphase flow model, k-ε RNG turbulence model with Swirl Dominated Flow settings was chosen. According to the results of the numerical simulation was determined the main hydrodynamic characteristics of the flow which presented as isolines in the middle section of the separator and value of the separation efficiency of the heterogeneous mixture. New design of a spiral nozzle was proposed for expansion of the range of effective work.</p>
      </abstract>
      <kwd-group>
        <kwd>Hydrocyclone</kwd>
        <kwd>Heterogeneous Mixture</kwd>
        <kwd>Research Methodology</kwd>
        <kwd>Numerical Experiment</kwd>
        <kwd>CFD</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Nowadays, circulating oil lubrication systems are widespread in the metallurgical
equipment. According to this method, the liquid lubricant moves through oil pipes,
which form a closed ring circuit, lubricates the units and cools of the friction pairs. It
should be noted that the lubricant insignificant amount loose during its movement.
Therefore, the main advantage of the circulating oil lubrication systems is their
economic efficiency. One of the required element of the circulating oil lubrication
systems is separation devices since oil lubricant become contaminated with liquid and
solid particles after passing the circuit oil pipes. For this purpose, hydrocyclones are
widely used.</p>
      <p>By one of the highly efficient hydrocyclones are considered to be SPR-separators
with the spiral nozzle (turbo-spiral), which is designed for the incoming flow
directing in a radial way and as a result creating of centrifugal forces. The main advantage
of the SPR-separator is the high fluid speed in the enclosure of the centrifugal
element, which provides a high-intensity separation process. On the other hand, we can
observe that high fluid speed may cause a negative influence on the separation
process, such as re-mixing of the dispersed and the continuous phase. Therefore,
technological regimes causing the above phenomena must be eliminated at the design stage
to ensure reliable and efficient operation of this unit.</p>
      <p>
        The main aim of this work is relations determining between the main structural
dimensions of the SPR-separator (Fig. 1) and the flow parameters, as well as the
separation efficiency of the heterogeneous inlet mixture.
It should be noted that hydrocyclones have commonly used equipment in various
technological lines of chemical and food industries [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1–3</xref>
        ], at oil production from wells
[
        <xref ref-type="bibr" rid="ref4 ref5 ref6">4–6</xref>
        ], for gas purification in titanium dioxide productions [
        <xref ref-type="bibr" rid="ref7">7, 8</xref>
        ], etc. Thus, first and
foremost, the equipment characteristics are determined depending on its purpose. At
the same time, the development of new hydrocyclone designs continue by creating
favorable hydrodynamic regimes for separating [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4 ref5">1–5</xref>
        ], adding new propelling power
of the process in addition to centrifugal [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] and methods of them manufacturing [
        <xref ref-type="bibr" rid="ref5 ref7">5, 7–
10</xref>
        ], as well as their new appointments opening [11].
      </p>
      <p>
        In each of the above works, the flow parameters were determined by experimental
[
        <xref ref-type="bibr" rid="ref3 ref5">3, 5, 8, 10–14</xref>
        ] and numerical methods [
        <xref ref-type="bibr" rid="ref1 ref2 ref4 ref7">1, 2, 4, 7–10, 15, 16</xref>
        ]. Herewith, separation
efficiency is determined by flow parameters. A significant advantage of the numerical
methods is the ability to studying of a large number of hydrocyclone designs as a
consequence determining of the basic design parameters, which effect on the
separation efficiency of the input heterogeneous mixture, without significant capital
expenditures associated with the creation of experimental samples. In works [
        <xref ref-type="bibr" rid="ref1 ref2 ref4 ref7">1, 2, 4, 7–10,
15, 16</xref>
        ] various software packages were used for carrying out numerical calculations
among which ANSYS, OPENFoam, etc. They are based on the finite volume method.
      </p>
      <p>
        For example, in works [
        <xref ref-type="bibr" rid="ref1 ref4 ref7">1, 4, 7, 10, 15, 16</xref>
        ] the ANSYS software package namely
its module Fluent Flow was chosen for simulation. Wherein, various models of
multiphase mixtures were defined depending on the medium under study. The Mixture
model was selected as the model of a multiphase flow in [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] for caring out numerical
studies of magnetic hydrocyclon. In other cases [
        <xref ref-type="bibr" rid="ref1">1, 15–17</xref>
        ], the VOF model was
chosen. Its feature is the solution of the momentum equation and temperatures
determining for each phase separately.
      </p>
      <p>
        Most scientists for describing of turbulent flows in hydrocyclone enclosure prefer
the Reynolds Stress Model (RSM) since this model gives the best correlation with
experiment for swirling flows. Thus, in works [
        <xref ref-type="bibr" rid="ref6">6, 9, 15, 17</xref>
        ] this model was chosen.
Herewith, it is resource-intensive, so in [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] the Swirl model RNG k-ε turbulence was
used as an alternative.
      </p>
      <p>In summary, the ANSYS Workbench software package, namely its module Fluent
Flow was chosen for caring out numerical calculations on flow parameters in the SPR
separator since it has different models for describing both the multiphase flow and the
turbulence.
3</p>
    </sec>
    <sec id="sec-2">
      <title>Research Methodology</title>
      <p>As mentioned above, the ANSYS Workbench software package, namely its Fluent
Flow module was chosen to determine the flow characteristics in the SPR-separator
under study. The first stage of calculations in this module is the building of a
threedimensional design geometry, which is used for determining the boundary conditions
as shown in Fig. 2.</p>
      <p>As can be seen from Fig. 2, the boundary condition of the “wall” type was not
specified since the Fluent Flow module automatically assigns it to surfaces, which
aren`t defined as other boundary conditions.</p>
      <p>The second stage of the calculation was the building of the finite volume grid,
which takes into account the features of the model, such as the presence of surfaces
curvature and small gaps comparatively to other linear dimensions. To that end, the
global setting Proximity and Curvature was chosen for considering the above model
features. The number of elements in the gap 5 was additionally specified by the
Proximity Size Function – Face and Edges. According to the above function, 5 elements
are built always, even as the main specified element sizes deny building a required
number of elements on the surfaces/faces. The boundary layer was built on the
surfaces, which aren`t specified as inlet and outlet, for ensuring a qualitative description
of the flow near the wall. The Inflation Option – Last Aspect Ratio was used for
reducing the height of subsequent layers as appropriate (for example, in the gap), with
First Layer Heights equivalent to 50 μm. The Advanced Options namely Collision
Avoidance – Layer Compression were also used. It allows reducing the height of the
first layer in the gaps and prevents Stair Stepping. A volumetric computational grid
with 1.5 million elements was obtained as a result of the above settings using. This
grid has following quality indicators: the maximum Skewness value is 0.93, which is
not exceed the permissible value 0.95; the minimum Orthogonal Quality value is 0.13,
which does not less than the permissible value 0.1; Aspect Ratio – 809, which is
satisfactory when using Double Precision. Last indicated setting is necessary for
multiphase flow calculations. The computational grid that was obtained is shown in Fig. 3.</p>
      <p>The next (third) stage of the numerical calculations is the setting of the Fluent
Flow module, which begins with the introduction of General Setting, namely Double
Precision and Gravity. First activated setting is needed for multiphase flows, second
for taking into account the gravity force, which is necessary for consideration draining
of the separated liquid film directed vertically downwards (from the inlet to the outlet)
along the X-axis. It makes sense to use the Eulerian approach for description of
multiphase flow since we consider water particles with an average size of 100 μm, their
volume fraction of dispersed phase is 0.1. Thus, the Eulerian model with
Formulation – Implicit was chosen. The k-ε RNG turbulence model was chosen with the
following settings: Swirl Dominated Flow, Curvature Correction and Near Wall
Treatment – Enhanced Wall Treatment. It was done accordingly to the value of the
Reynolds number 2.9ꞏ104 and from the viewpoint of reducing the computation
resourceintensiveness.</p>
      <p>The necessary stage was materials definition for the phases from the library:
 primary phase – kerosene-liquid, with properties: density ρ = 780 kg/m3, dynamic
viscosity µ = 0.0024 Paꞏs;
 secondary phase – water liquid, with properties: density ρ = 998 kg/m3, dynamic
viscosity µ = 0.001003 Paꞏs.</p>
      <sec id="sec-2-1">
        <title>The following boundary conditions are specified at the inlet:</title>
        <p> for the mixture – a gauge pressure of 0.4 MPa, turbulence parameters such as
hydraulic diameter 76 mm and the average value of turbulence intensity – 5 %;
 for the main phase (kerosene-liquid) - inlet speed 1.18 m/s;
 for the dispersed phase (water) - volume fraction 0.1.</p>
      </sec>
      <sec id="sec-2-2">
        <title>The following boundary conditions are specified at the lubricant outlet:</title>
        <p> for the mixture – a gauge pressure of 0.4 MPa, turbulence parameters such as
hydraulic diameter 76 mm and the average value of turbulence intensity – 5 %;
 for the dispersed phase (water) - volume fraction in the possible reverse flow 0.1.</p>
      </sec>
      <sec id="sec-2-3">
        <title>As the boundary conditions at the water outlet are given:</title>
        <p> for the mixture – a gauge pressure of 0.4 MPa, turbulence parameters such as
hydraulic diameter 15 mm and the average value of turbulence intensity – 5 %;
 for the dispersed phase (water) - volume fraction in the possible reverse flow 1.</p>
        <p>Standard initialization was used for calculations. Firstly, the problem was solved
by the Method-Velocity Coupling - Simple method with the following Spatial
Discretization parameters: Gradient – Least Square Cell Based; Momentum – First Order
Upwind; Volume Fraction – First Order Upwind; Turbulent Kinetic Energy – First
Order Upwind; Turbulent Dissipation Rate – First Order Upwind. The
PressureVelocity Coupling-Coupled method was used after problem convergence for the
improvement of the results accuracy, wherein following Spatial Discretization
parameters were used: Gradient-Least Square Cell Based; Momentum – Second Order
Upwind; Volume Fraction – Second Order Upwind; Turbulent Kinetic Energy – First
Order Upwind; Turbulent Dissipation Rate – First Order Upwind.
4</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Results</title>
      <p>The isolines of a dispersed phase in the cross-section of the unit (Fig. 4), the isolines
of gauge pressure (Fig. 5) and the velocity vectors of water (Fig. 6) were obtained as a
result of the calculations.</p>
      <p>Based on the results of the SPR-separator hydrodynamics numerical simulation,
namely isolines and velocity vectors of the dispersed phase, it can be argued, that the
proposed modeling methodology corresponds to the theoretical concepts of the
separation of two-component streams in the centrifugal field. Fig. 4 shows that the
component with a large value of density (water) is located near to the walls and is absent
in the central part of the apparatus. Fig. 6 shows the velocity vectors of the dispersed
phase, which are directed from the axis to the periphery and along to the walls of the
SPR-separator. This indicates that the separation process is efficient. The value of the
separation efficiency (η = 95 %) was calculated according to the equation:
 c 
  1  c0 ꞏ100 %,

(1)
c0 – volume fraction of the secondary phase at the inlet; c – volume fraction of the
secondary phase at the outlet of the SPR-separator.</p>
      <p>As mentioned above, the separation efficiency value is 0.95. However, this value
was determined for the following working parameters: velocity at the inlet – 1.18 m/s,
gauge pressure at the inlet and outlet – 0.4 MPa, discrete phase volume fraction at the
inlet – 0.1, but high fluid speed may cause a negative influence on the separation
process, such as re-mixing of the dispersed and the continuous phase, and on the other
hand low fluid speed may cause insufficient centrifugal force for separation. Similar
problem takes place at process of a gas-liquid separation, which is based on the usage
of inertia of particles (droplets). The main drawback of this method is the secondary
splashing, resulting from a possible increasing of the flow velocity to a critical value
and disruption of the trapped liquid, with following occurrence of the highly dispersed
particles [19]. The avoidance of this problem is realized in dynamic separation
elements. The related certificates of the authorship are “The method of capturing highly
dispersed dropped liquid from the gas-liquid flow” Sumy State University, Ukraine,
bulletin No. 20 with No. u201505124 and No. u201605061. The above elements work
as an automatic control system, in which the regulating action is elastic forces, and
the object of regulation is the hydraulic resistance.</p>
      <p>New design of the spiral nozzle was proposed and it shown in Fig. 7. This spiral
nozzle design was developed accordingly to the results of numerical simulations and
based on similar principles of the dynamic separation elements. The related certificate
of the authorship is “The device for separation of disperse liquid from gas flow”
Sumy State University, Ukraine, bulletin No. 23 with No u 2018 06182.</p>
      <p>For future research main aim will be developing of engineering method for
calculation of new SPR-separator design. Herewith, main problem is necessarily of solving a
complex problem of the hydroaeroelasticity, which analytical solution has been
already obtained for similar case in [19]. The articles [20–22] will be used for father
improving of SPR-separator, due to creating regularly-structured elements with
wellorganized liquid drainage [20, 21] and mounting filtering or their thin-layer modules
[22].
5</p>
    </sec>
    <sec id="sec-4">
      <title>Conclusions</title>
      <p>The method of numerical research of the SPR-separator is proposed. This technique
allows to determining the main hydrodynamic parameters of the separation processes,
the efficiency of separation, hydraulic resistance, value and direction of the velocities
of the disperse phase, etc.</p>
      <p>The efficiency of separation was calculated, which in turn confirms the adequacy
of the proposed methodology and the possibility of using it for future research. Main
disadvantages of separation process in SPR-separator are re-mixing of the dispersed
and the continuous phase, insufficient centrifugal force for separation. New design of
the spiral nozzle was developed accordingly to the results of numerical simulations
and based on similar principles of the dynamic separation elements. For future
research main aim will be developing of engineering method for calculation of new
SPR-separator design.
6</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgments</title>
      <p>Results of the research were achieved within the project “Development and
implementation of energy efficient modular separation devices for oil and gas purifi-cation
equipment” (Ministry of Education and Science of Ukraine, State Reg. No.
0117U003931) due to the close cooperation between the Department of Process and
Equipment of Chemical and Petroleum-Refineries and the Department of General
Mechanics and Machine Dynamics of the Faculty of Technical Systems and
EnergyEfficient Technologies of Sumy State University.</p>
      <p>Numerical simulations using ANSYS software were provided by the Faculty of
Manufacturing Technologies with a seat in Presov of Technical University of Kosice
within the research project “Identification of Parameters for Technological Equipment
using Artificial Neural Networks” supported by the National Scholarship Programme
of the Slovak Republic.
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