<?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>2304-0106</journal-id>
<journal-title><![CDATA[Anales de la Academia de Ciencias de Cuba]]></journal-title>
<abbrev-journal-title><![CDATA[Anales de la ACC]]></abbrev-journal-title>
<issn>2304-0106</issn>
<publisher>
<publisher-name><![CDATA[Academia de Ciencias de Cuba]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2304-01062021000300013</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Determinación de indicadores tecnológicos y parámetros de corte en el mecanizado de alta velocidad en aceros por métodos experimentales, de simulación numérica y de inteligencia artificial]]></article-title>
<article-title xml:lang="en"><![CDATA[Prediction using the hybrid method of technological index&#8217;s in steels high-speed machining]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez Rodríguez]]></surname>
<given-names><![CDATA[Roberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández González]]></surname>
<given-names><![CDATA[Luis Wilfredo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[del Risco Alfonso]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Molina Gutiérrez]]></surname>
<given-names><![CDATA[Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zambrano Robledo]]></surname>
<given-names><![CDATA[Patricia del Carmen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales Tamayo]]></surname>
<given-names><![CDATA[Yoandris]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Curra Sosa]]></surname>
<given-names><![CDATA[Dagnier Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Siller Carrillo]]></surname>
<given-names><![CDATA[Héctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Holguín  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Camagüey  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Tecnológico de Monterrey  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma de Nuevo León  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad Técnica de Cotopaxi  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Ecuador</country>
</aff>
<aff id="Af6">
<institution><![CDATA[,Academia de Ciencias de Cuba  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af7">
<institution><![CDATA[,Academia Mexicana de Ciencias  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>11</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2304-01062021000300013&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2304-01062021000300013&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2304-01062021000300013&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  En la última década el maquinado de alta velocidad ha sido de especial interés para los sectores académico e industrial. Su influencia en el desempeño del mecanizado por arranque de virutas permite un alto valor de metal removido y un buen acabado superficial. Objetivos: en este trabajo se muestra la determinación de indicadores tecnológicos y parámetros de corte en el maquinado de alta velocidad en aceros con la utilización combinada de métodos experimentales, de simulación numérica y de inteligencia artificial.  Métodos:  se realizaron ensayos experimentales en el maquinado de alta velocidad de varios tipos de aceros, utilizando diversas herramientas de corte y condiciones de elaboración. Se utilizaron métodos estadísticos matemáticos para los análisis de correlación, se simularon por el método de los elementos finitos las condiciones experimentales y a través de herramientas de inteligencia artificial, se obtuvieron modelos predictivos combinados.  Resultados:  se definieron nuevos criterios para el estudio de la maquinabilidad de aceros que permitan evaluar su desempeño; se obtuvieron modelos matemáticos de correlación entre las variables fundamentales del maquinado de alta velocidad de aceros por métodos experimentales; se obtuvieron modelos numéricos por el método de elementos finitos que complementan los ensayos experimentales; y se definió e implementó mediante herramientas de inteligencia artificial, la predicción de indicadores tecnológicos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction.  In the last decade High-Speed Machining has been of special interest to the academic and industrial sectors. Its influence on the performance of machining by chip removal allows a high value of removed metal and a good surface finish. Goals. This work shows the determination of technological indicators and cutting parameters in High-Speed Machining in steels with the combined use of experimental methods, numerical simulation and Artificial Intelligence.  Methods.  Experimental tests were carried out in High-Speed Machining of various types of steels, using various cutting tools and processing conditions. Mathematical statistical methods were used for correlation analyzes, experimental conditions were simulated by the Finite Elements Method and through Artificial Intelligence tools, combined predictive models were obtained.  Results.  New criteria were defined for the study of the machinability of steels that allow evaluating their performance; mathematical correlation models were obtained between the fundamental variables of High-Speed Machining of steels by experimental methods; numerical models were obtained by Finite Element Analysis that complement the experimental tests; the prediction of technological indicators was defined and implemented using Artificial Intelligence tools.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[predicción]]></kwd>
<kwd lng="es"><![CDATA[indicadores tecnológicos]]></kwd>
<kwd lng="es"><![CDATA[maquinado de alta velocidad]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[aceros]]></kwd>
<kwd lng="en"><![CDATA[prediction]]></kwd>
<kwd lng="en"><![CDATA[technological index&#8217;s]]></kwd>
<kwd lng="en"><![CDATA[high-speed machining]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[steels]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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