<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-7743</journal-id>
<journal-title><![CDATA[Ingeniería, investigación y tecnología]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. invest. y tecnol.]]></abbrev-journal-title>
<issn>1405-7743</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Ingeniería]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-77432016000100023</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Use of Artificial Neural Networks for Prediction of the Convective Heat Transfer Coefficient in Evaporative Mini-Tubes]]></article-title>
<article-title xml:lang="es"><![CDATA[Uso de redes neuronales para la predicción del coeficiente de transferencia de calor por convección de la evaporacion en minitubos]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Romero-Méndez]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lara-Vázquez]]></surname>
<given-names><![CDATA[Patricia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Oviedo-Tolentino]]></surname>
<given-names><![CDATA[Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Durán-García]]></surname>
<given-names><![CDATA[Héctor Martín]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Gutiérrez]]></surname>
<given-names><![CDATA[Francisco Gerardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pacheco-Vega]]></surname>
<given-names><![CDATA[Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí Faculty of Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Tecnológica de San Luis Potosí  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí Faculty of Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí Faculty of Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af6">
<institution><![CDATA[,California State University Los Angeles Department of Mechanical Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>USA</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2016</year>
</pub-date>
<volume>17</volume>
<numero>1</numero>
<fpage>23</fpage>
<lpage>34</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-77432016000100023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-77432016000100023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-77432016000100023&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: In this work, artificial neural networks (ANNs) are used to characterize the convective heat transfer rate that occurs during the evaporation of a refrigerant flowing inside tubes of very small diameter. An experimental setup based on an inverse Rankine refrigeration cycle is used to obtain the heat transfer data in an R-134a refrigerant mini-tube evaporator set operated under constant heat flux conditions. A considerable amount of data was acquired to map the thermal performance of the evaporative process under analysis, 75% of which were used for training the ANN and 25% were reserved for prediction purposes. Several neural network configurations were trained and the most accurate was selected to predict the thermal behavior. The results obtained in this investigation reveal the convenience of using ANNs as an accurate predictive tool for determination of convective heat transfer rates inside mini-tube evaporators.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: En esta investigación se utilizan redes neuronales para determinar la tasa de transferencia de calor convectiva durante la evaporación de un refrigerante en el interior de un minitubo. Se desarrolló un sistema experimental, incluye un ciclo de refrigeración basado en el ciclo de Rankine inverso, instrumentado con equipo de medición y un sistema de adquisición de datos para obtener información del desempeño térmico bajo diferentes condiciones de operación. Con este banco de pruebas experimental fue posible obtener una cantidad considerable de datos que permiten caracterizar el desempeño térmico del proceso de evaporación en consideración. Un 75% de las mediciones se usan para entrenar varias configuraciones de red neuronal y 25% de los datos se emplean para determinar el error de predicción de cada configuración. Los resultados obtenidos en esta investigación demuestran la conveniencia de usar redes neuronales artificiales para la determinación correcta de la transferencia de calor evaporadores de minitubos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[artificial neural networks]]></kwd>
<kwd lng="en"><![CDATA[thermal systems]]></kwd>
<kwd lng="en"><![CDATA[compact evaporators]]></kwd>
<kwd lng="en"><![CDATA[mini-tubes]]></kwd>
<kwd lng="en"><![CDATA[convective heat transfer]]></kwd>
<kwd lng="es"><![CDATA[redes neuronales artificiales]]></kwd>
<kwd lng="es"><![CDATA[sistemas térmicos]]></kwd>
<kwd lng="es"><![CDATA[evaporadores compactos]]></kwd>
<kwd lng="es"><![CDATA[minitubos]]></kwd>
<kwd lng="es"><![CDATA[transferencia de calor por convección]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Simulation of heat exchanger performance by artificial neural networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Diaz]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[K.T.]]></given-names>
</name>
<name>
<surname><![CDATA[McClain]]></surname>
<given-names><![CDATA[R.L.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of HVAC &amp; Research]]></source>
<year>1999</year>
<volume>5</volume>
<page-range>195-208</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Díaz]]></surname>
<given-names><![CDATA[G.C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Simulation and control of heat exchangers using artificial neural networks]]></source>
<year>2000</year>
<publisher-name><![CDATA[Department of Aerospace and Mechanical Engineering, University of Notre Dame]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ermis]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Erek]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Dincer]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>2007</year>
<volume>50</volume>
<page-range>3163-75</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Improved heat transfer correlation in the transition region for a circular tube with three inlet configurations using artificial neural networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghajar]]></surname>
<given-names><![CDATA[A.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tam]]></surname>
<given-names><![CDATA[L.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tam]]></surname>
<given-names><![CDATA[S.C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Heat Transfer Engineering]]></source>
<year>2004</year>
<volume>25</volume>
<page-range>30-40</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[A general correlation for flow boiling in tubes and annuli]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gungor]]></surname>
<given-names><![CDATA[K.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Winterton]]></surname>
<given-names><![CDATA[R.H.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>1986</year>
<volume>29</volume>
<page-range>351-8</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hecht-Nielsen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Kolmogorov's mapping neural networks existence theorem]]></source>
<year>1987</year>
<conf-name><![CDATA[ FirstInternational Conference on Neural Networks]]></conf-name>
<conf-loc> </conf-loc>
<page-range>iii/11-4</page-range><publisher-loc><![CDATA[San Diego ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Modeling of a direct evaporative air cooler using artificial neural network]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hosoz]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ertunc]]></surname>
<given-names><![CDATA[H.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ozguc]]></surname>
<given-names><![CDATA[A.F.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Energy Research]]></source>
<year>2008</year>
<volume>32</volume>
<page-range>83-9</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Modeling of thermal performance of a cooling tower using an artificial neural network]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Islamoglu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<source><![CDATA[Heat Transfer Engineering]]></source>
<year>2005</year>
<volume>26</volume>
<page-range>73-6</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Evaluating convective heat transfer coefficient using neural networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jambunathan]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Hartle]]></surname>
<given-names><![CDATA[S.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Ashforth]]></surname>
<given-names><![CDATA[F.S.]]></given-names>
</name>
<name>
<surname><![CDATA[Fontama]]></surname>
<given-names><![CDATA[V.M.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>1996</year>
<volume>39</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>2329-32</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[An effectiveness model for an indirect evaporative cooling (IEC) system: Comparison of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and fuzzy inference system (FIS) approach]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kiran]]></surname>
<given-names><![CDATA[T.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Rajput]]></surname>
<given-names><![CDATA[S.P.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Applied Soft Computing]]></source>
<year>2011</year>
<volume>11</volume>
<page-range>3525-33</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[A general correlation for saturated and subcooled flow boiling in tubes and annuli based on a nucleate pool boiling equation]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Winterton]]></surname>
<given-names><![CDATA[R.H.S.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>1991</year>
<volume>34</volume>
<page-range>2759-66</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pacheco-Vega]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Simulation of compact heat exchangers using global regression and soft computing]]></source>
<year>2002</year>
<publisher-name><![CDATA[Department of Aerospace and Mechanical Engineering, University of Notre Dame]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Heat rate predictions in humid air-water heat exchangers using correlations and neural networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pacheco-Vega]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Diaz]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[K.T.]]></given-names>
</name>
<name>
<surname><![CDATA[McClain]]></surname>
<given-names><![CDATA[R.L.]]></given-names>
</name>
</person-group>
<source><![CDATA[ASME Journal of Heat Transfer]]></source>
<year>2001</year>
<volume>123</volume>
<page-range>348-54</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Neural network analysis of fin-tube refrigeration heat exchanger with limited experimental data]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pacheco-Vega]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[K.T.]]></given-names>
</name>
<name>
<surname><![CDATA[McClain]]></surname>
<given-names><![CDATA[R.L.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>2001</year>
<volume>44</volume>
<page-range>763-70</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rumelhart]]></surname>
<given-names><![CDATA[D.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Hinton]]></surname>
<given-names><![CDATA[G.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Williams]]></surname>
<given-names><![CDATA[R.J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Learning internal representation by error propagation. Parallel Distributed Processing Explorations in the Microstructure of Cognition]]></source>
<year>1986</year>
<publisher-loc><![CDATA[Cambridge ]]></publisher-loc>
<publisher-name><![CDATA[MIT Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Neural network methodology for heat transfer data analysis]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thibault]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Grandjean]]></surname>
<given-names><![CDATA[B.P.A.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>1991</year>
<volume>34</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>2063-70</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Correlating heat transfer and friction in helically finned tubes using artificial neural networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zdaniuk]]></surname>
<given-names><![CDATA[G.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chamra]]></surname>
<given-names><![CDATA[L.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Walters]]></surname>
<given-names><![CDATA[D.K.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Heat and Mass Transfer]]></source>
<year>2007</year>
<volume>50</volume>
<page-range>4713-23</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Network modeling of fin-and-tube evaporator performance under dry and wet conditions]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[L.X.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[C.L.]]></given-names>
</name>
</person-group>
<source><![CDATA[ASME Journal of Heat Transfer]]></source>
<year>2010</year>
<volume>132</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>074502</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Fin-and-tube condenser performance evaluation using neural networks]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[L.X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[C.L.]]></given-names>
</name>
</person-group>
<source><![CDATA[International Journal of Refrigeration]]></source>
<year>2010</year>
<volume>33</volume>
<page-range>625-34</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
