<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJAppS</journal-id><journal-title-group><journal-title>Open Journal of Applied Sciences</journal-title></journal-title-group><issn pub-type="epub">2165-3917</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojapps.2018.87022</article-id><article-id pub-id-type="publisher-id">OJAppS-86215</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Engineering</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Computer Simulation of the Multiphase Flow in a Peirce-Smith Copper Converter
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Oscar</surname><given-names>Barrios</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Miguel</surname><given-names>A. Barron</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dulce</surname><given-names>Y. Medina</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Isaias</surname><given-names>Hilerio</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Departamento de Materiales, Universidad Autonoma Metropolitana Azcapotzalco, Ciudad de Mexico, Mexico</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>bmma@correo.azc.uam.mx(MAB)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>23</day><month>07</month><year>2018</year></pub-date><volume>08</volume><issue>07</issue><fpage>296</fpage><lpage>303</lpage><history><date date-type="received"><day>19,</day>	<month>June</month>	<year>2018</year></date><date date-type="rev-recd"><day>23,</day>	<month>July</month>	<year>2018</year>	</date><date date-type="accepted"><day>26,</day>	<month>July</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The multiphase flow in a Peirce-Smith copper converter is numerically explored in this work. Molten matte, molten slag and air are the phases considered. The transient partial differential equations that constitute the mathematical model are discretized using a two-dimensional computational mesh. The Computational Fluid Dynamics technique is employed to numerically solve the discretized equations. The aim of the numerical analysis is to study the influence of the nozzle height on the phase distributions inside the converter. Three values of the nozzle heights are considered.
 
</p></abstract><kwd-group><kwd>Computational Fluid Dynamics</kwd><kwd> Copper Converter</kwd><kwd> Multiphase Flow</kwd><kwd> Nozzle Height</kwd><kwd> Peirce-Smith Converter</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>At industry, the majority of the blister copper is produced today by means of the Peirce-Smith converter (PSC), in which air is injected to oxidize sulfur and chemically reduce copper. Besides, silica flux is added to the converter in order to form a slag which captures the matte impurities [<xref ref-type="bibr" rid="scirp.86215-ref1">1</xref>] . The air is injected into the molten copper matte through submerged nozzles [<xref ref-type="bibr" rid="scirp.86215-ref2">2</xref>] .</p><p>In the PSC an intense momentum transfer is required to get high heat transfer and chemical reaction rates. In some papers, physical experiments on water models are reported to analyze the bubbling to jetting flow regimes in copper converters [<xref ref-type="bibr" rid="scirp.86215-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref5">5</xref>] . In recent years, computer simulations have been carried out in order to understand the fluid flow in these devices. Recently, the Computational Fluid Dynamics (CFD) technique is employed to study the flow dynamics in copper converters [<xref ref-type="bibr" rid="scirp.86215-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref9">9</xref>] .</p><p>Here, the multiphase flow in a PSC is analyzed using the CFD technique. Three phases are considered: molten copper matte, molten slag, and air. Three nozzle heights are considered in the two-dimensional transient computer simulations, namely 0.1, 0.25 and 0.5 m .</p></sec><sec id="s2"><title>2. Mathematical Model</title><p>The conservation of momentum and mass of the considered phases (molten matte, molten slag, air) is modeled using the Navier-Stokes and the continuity equations [<xref ref-type="bibr" rid="scirp.86215-ref10">10</xref>] . To simulate the turbulence, the K-ε model is selected [<xref ref-type="bibr" rid="scirp.86215-ref11">11</xref>] . To represent the multiphase flow, the Volume of Fluid (VOF) model [<xref ref-type="bibr" rid="scirp.86215-ref12">12</xref>] is employed, whose derivation rests on the assumption that two or more phases are not interpenetrating. In this model it is assumed that in each control volume the volume fractions of all phases sum to unity, and the interface between the phases is obtained by solving the continuity equation for each phase. For the pressure-velocity coupling, the Pressure Implicit with Splitting Operations (PISO) algorithm is selected [<xref ref-type="bibr" rid="scirp.86215-ref13">13</xref>] .</p></sec><sec id="s3"><title>3. Numerical Solution</title><p>Computational Fluid Dynamics (CFD) software is employed to numerically solve the mathematical model [<xref ref-type="bibr" rid="scirp.86215-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref14">14</xref>] . The transient partial differential equations that constitute the mathematical model are discretized using a two-dimensional computational mesh composed of 12,000 trilateral cells [<xref ref-type="bibr" rid="scirp.86215-ref15">15</xref>] .</p><p>The current phases and physical dimensions of a slice of the copper converter are shown in <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref>. The operating conditions prevailing during the computer simulations are shown in <xref ref-type="table" rid="table2">Table 2</xref>. Air injection velocity is kept at 10 m・s<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.86215-ref16">16</xref>] . The properties of the considered phases are shown in <xref ref-type="table" rid="table3">Table 3</xref>. In order to keep the numerical stability during the integration of the mathematical model equations, a time step value of 0.001 s is employed in the computer runs.</p></sec><sec id="s4"><title>4. Results of Numerical Simulations</title><p>During the numerical simulations three values of the nozzle height were considered: 0.1, 0.25 and 0.5 m . As is shown in <xref ref-type="table" rid="table2">Table 2</xref>, the values of the matte height,</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Physical dimensions of the Peirce-Smith copper converter</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Converter diameter, m</th><th align="center" valign="middle" >4.0</th></tr></thead><tr><td align="center" valign="middle" >Nozzle diameter, m</td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Off gas exit diameter, m</td><td align="center" valign="middle" >0.5</td></tr><tr><td align="center" valign="middle" >Nozzle height, m</td><td align="center" valign="middle" >0.10, 0.25, 0.5</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Operating conditions of the converter [<xref ref-type="bibr" rid="scirp.86215-ref16">16</xref>] </title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Matte height, m</th><th align="center" valign="middle" >2.0</th></tr></thead><tr><td align="center" valign="middle" >Slag height, m</td><td align="center" valign="middle" >0.1</td></tr><tr><td align="center" valign="middle" >Air injection velocity, m・s<sup>−1</sup></td><td align="center" valign="middle" >10<sup> </sup></td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Physical properties of the considered phases [<xref ref-type="bibr" rid="scirp.86215-ref1">1</xref>] </title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Property</th><th align="center" valign="middle" >Air</th><th align="center" valign="middle" >Slag</th><th align="center" valign="middle" >Matte</th></tr></thead><tr><td align="center" valign="middle" >Density, kg・m<sup>−3 </sup></td><td align="center" valign="middle" >1.225</td><td align="center" valign="middle" >2500</td><td align="center" valign="middle" >5200</td></tr><tr><td align="center" valign="middle" >Viscosity, kg・m<sup>−1</sup>・s<sup>−1</sup></td><td align="center" valign="middle" >1.0789 &#215; 10<sup>−</sup><sup>5 </sup></td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.004</td></tr></tbody></table></table-wrap><p>slag height and air injection velocity were kept constant at 2.0 m , 0.1 m , and 10 m・s<sup>−1</sup>, respectively. Matte and slag distribution inside the converter were monitored for each value of the nozzle height, namely 0.1, 0.25 and 0.5 m .</p><p>Figures 2-7 depict the distribution of matte and slag for the three nozzle heights considered. As the time from the start of air injection elapses, air bubbles are formed in the matte and rise towards the slag and the converter mouth. The matte and the slag are stirred by the air bubbles and are pushed from the left side of the converter to the right one. By comparison of the Figures 2-4, it can be appreciated that as the nozzle height is increased from 0.1 to 0.5 m , the matte located at the converter bottom becomes less and less agitated.</p><p>Figures 5-7 show the distribution of the slag inside the converter for lance heights of 0.1, 0.25 and 0.5 m , respectively. The majority of slag remains floating above the matte, however it is observed that small amounts of slag are mixed with the matte at the bottom and right section of the converter. It can be observed that as the nozzle height is increased, the mixing of the slag with the mate is decreased. Remarkably, the thickness of the slag layer that floats in the matte at the right side of the converter is increased as the nozzle height is increased.</p><p>Related to the bubbling to jetting transition during air injection, it is reported that this phenomenon is properly characterized through the dimensionless Kutateladze number (Ku) [<xref ref-type="bibr" rid="scirp.86215-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.86215-ref17">17</xref>] , which considers the most important forces that determine this transition. These forces are: air inertial forces, bubble buoyancy</p><p>forces, gravity forces, and tension forces. Ku number is defined in this way [<xref ref-type="bibr" rid="scirp.86215-ref17">17</xref>] :</p><p>K u = v ρ a [ σ m g ( ρ m − ρ a ) ] − 0.25</p><p>where v is the air injection velocity, ρ<sub>a</sub> is the air density, ρ<sub>m</sub> is the molten matte density, σ<sub>m</sub> is the matte surface tension, and g is the gravity force. For the PSC, it</p><p>is reported that the transition from bubbling to jetting occurs for Ku ≥ 3.4832, which corresponds to air injection velocities greater than 50 m・s<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.86215-ref16">16</xref>] . Results of this work are consistent with those presented in [<xref ref-type="bibr" rid="scirp.86215-ref7">7</xref>] and [<xref ref-type="bibr" rid="scirp.86215-ref15">15</xref>] .</p></sec><sec id="s5"><title>5. Conclusions</title><p>A numerical analysis of the multiphase flow in a Peirce-Smith copper converter was carried out using the Computational Fluid Dynamics technique. Three phases were considered, namely molten matte, molten slag, and air. The matte height, the slag height, and the air injection velocity were kept constant along the computer runs. The aim of the numerical analysis was to study the influence of the nozzle height on the phase distributions inside the converter. From the numerical results of the two-dimensional transient computer runs the following conclusions arise:</p><p>1) As the nozzle height is increased, the matte agitation at the bottom converter is decreased.</p><p>2) As the nozzle height is increased, the thickness of the slag layer at the right side of the converter is increased.</p><p>3) As the nozzle height is increased, the mixing of the slag with the mate is decreased.</p><p>4) The nozzle height parameter plays a significant role in the phase distributions inside the converter.</p><p>Future work must consider the three-dimensional behavior of the copper converter.</p></sec><sec id="s6"><title>Cite this paper</title><p>Barrios, O., Barron, M.A., Medina, D.Y. and Hilerio, I. (2018) Computer Simulation of the Multiphase Flow in a Peirce-Smith Copper Converter. 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