<?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>1815-5944</journal-id>
<journal-title><![CDATA[Ingeniería Mecánica]]></journal-title>
<abbrev-journal-title><![CDATA[Ingeniería Mecánica]]></abbrev-journal-title>
<issn>1815-5944</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Ingeniería Mecánica. Instituto Superior Politécnico "José Antonio Echeverría"]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59442020000200007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estimación del consumo específico de energía en el torneado de alta velocidad del acero AISI-1045 utilizando redes neuronales]]></article-title>
<article-title xml:lang="en"><![CDATA[Assessment of the specific energy consumption in high speed turning of AISI-1045 steel using neural networks]]></article-title>
</title-group>
<contrib-group>
<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[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[de la Rosa-Melian]]></surname>
<given-names><![CDATA[Julio Ernesto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</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"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guerrero-Mata]]></surname>
<given-names><![CDATA[Martha Patricia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Rodríguez]]></surname>
<given-names><![CDATA[Roberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Holguín Centro de Estudios CAD/CAM ]]></institution>
<addr-line><![CDATA[ Holguín]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de Nuevo León Centro de Investigación e Innovación en Ingeniería Aeronáutica ]]></institution>
<addr-line><![CDATA[ Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma de Nuevo León Facultad de Ingeniería Mecánica y Eléctrica ]]></institution>
<addr-line><![CDATA[ Nuevo León]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2020</year>
</pub-date>
<volume>23</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59442020000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59442020000200007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59442020000200007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En el presente artículo se estimó el consumo específico de energía en el torneado de alta velocidad en seco del acero AISI 1045, utilizando redes neuronales. Se utilizaron varias arquitecturas de redes neuronales artificiales del tipo perceptrón multicapa, para establecer las relaciones entre los parámetros del régimen de corte y los índices tecnológicos de mecanizado. Se consideraron como magnitudes para la entrada de los modelos de redes neuronales, las siguientes: la velocidad de corte, la duración de la prueba, el tiempo de maquinado, el número de pasadas y la posición de la herramienta de corte sobre la probeta. El modelo de red neuronal seleccionado fue el mejor, según el error cuadrático medio y el coeficiente de regresión R2, reflejando una buena precisión en la aproximación. Los resultados evidenciaron un buen nivel de fiabilidad en la predicción del consumo específico de energía bajo diversas condiciones de mecanizado.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This article estimates the specific energy consumption in high-speed dry turning of AISI 1045 steel, using neural networks. Various artificial neural network architectures of the multilayer perceptron type were used to establish the relationships between the parameters of the cutting regime and the technological indices of machining. The following were considered as input values for the neural network models: the cutting speed, the test duration, the machining time, the number of passes and the position of the cutting tool on the specimen. The selected neural network model was the best, based on the mean square error and the regression coefficient R2, reflecting good precision in the approximation. The results showed a good level of reliability in predicting specific energy consumption under various machining conditions.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[consumo específico de energía]]></kwd>
<kwd lng="es"><![CDATA[torneado de alta velocidad]]></kwd>
<kwd lng="es"><![CDATA[AISI 1045]]></kwd>
<kwd lng="es"><![CDATA[red neuronal artificial]]></kwd>
<kwd lng="en"><![CDATA[specific energy consumption]]></kwd>
<kwd lng="en"><![CDATA[high-speed dry turning]]></kwd>
<kwd lng="en"><![CDATA[AISI 1045]]></kwd>
<kwd lng="en"><![CDATA[artificial neural network]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Jia]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Task-Oriented energy benchmark of machining systems for energy-efficient production]]></article-title>
<source><![CDATA[International Journal of Precision Engineering and Manufacturing-Green Technology]]></source>
<year>2020</year>
<volume>7</volume>
<page-range>205-18</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mourtzis]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Vlachou]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Milas]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Energy consumption estimation for machining processes based on real-time shop floor monitoring via wireless sensor networks]]></article-title>
<source><![CDATA[Procedia CIRP]]></source>
<year>2016</year>
<volume>57</volume>
<page-range>637-42</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hacksteiner]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Duer]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Ayatollahi]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic assessment of machine tool energy efficiency and productivity]]></article-title>
<source><![CDATA[Procedia CIRP]]></source>
<year>2017</year>
<volume>62</volume>
<page-range>317-22</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modeling and impact factors analyzing of energy consumption in CNC face milling using GRASP gene expression programming]]></article-title>
<source><![CDATA[The International Journal of Advanced Manufacturing Technology]]></source>
<year>2016</year>
<volume>87</volume>
<page-range>1247-63</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[GY]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[ZY]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Energy consumption in machining: classification, prediction, and reduction strategy]]></article-title>
<source><![CDATA[Energy]]></source>
<year>2017</year>
<volume>133</volume>
<page-range>142-57</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Halim]]></surname>
<given-names><![CDATA[NHA]]></given-names>
</name>
<name>
<surname><![CDATA[Harona]]></surname>
<given-names><![CDATA[CHC]]></given-names>
</name>
<name>
<surname><![CDATA[Ghani]]></surname>
<given-names><![CDATA[JA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Tool wear and chip morphology in high-speed milling of hardened Inconel 718 under dry and cryogenic CO2 conditions]]></article-title>
<source><![CDATA[Wear]]></source>
<year>2019</year>
<volume>426-427</volume>
<page-range>1683-90</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Natasha]]></surname>
<given-names><![CDATA[AR]]></given-names>
</name>
<name>
<surname><![CDATA[Othman]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Ghani]]></surname>
<given-names><![CDATA[JA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Chip formation and coefficient of friction in turning S45C medium carbon steel]]></article-title>
<source><![CDATA[International Journal of Mechanical &amp; Mechatronics Engineering]]></source>
<year>2014</year>
<volume>14</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>89-92</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ali-Laghari]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Mia]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effects of turning parameters and parametric optimization of the cutting forces in machining SiCp/Al 45 wt% composite]]></article-title>
<source><![CDATA[Metals]]></source>
<year>2020</year>
<volume>10</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>840</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Essel]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<source><![CDATA[Machinability enhancement of non-leaded free cutting steels]]></source>
<year>2006</year>
<publisher-name><![CDATA[Rheinisch-Westfälischen Technischen Hochschule Aachen]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tanaka]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Yamane]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Sekiya]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machinability of BN free-machining steel in turning]]></article-title>
<source><![CDATA[International Journal of Machine Tools &amp; Manufacture]]></source>
<year>2007</year>
<volume>47</volume>
<numero>12-13</numero>
<issue>12-13</issue>
<page-range>1971-7</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Denkena]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Ben-Amor]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[De Leon Garcia]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Material specific definition of the high speed cutting range]]></article-title>
<source><![CDATA[International Journal of Machining and Machinability of Materials]]></source>
<year>2007</year>
<volume>2</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>176-85</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Özel]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Esteves]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Davim]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neural network process modelling for turning of steel parts using conventional and wiper inserts]]></article-title>
<source><![CDATA[International Journal of Materials and Product Technology]]></source>
<year>2009</year>
<volume>35</volume>
<numero>1-2</numero>
<issue>1-2</issue>
<page-range>246-58</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hernández González]]></surname>
<given-names><![CDATA[LW]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Zambrano Robledo]]></surname>
<given-names><![CDATA[PC]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estudio del rendimiento del torneado de alta velocidad utilizando el coeficiente de dimensión volumétrica de la fuerza de corte resultante]]></article-title>
<source><![CDATA[Revista de Metalurgia]]></source>
<year>2013</year>
<volume>49</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>245-56</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xie]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Qiu]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An integrated model for predicting the specific energy consumption of manufacturing processes]]></article-title>
<source><![CDATA[The International Journal of Advanced Manufacturing Technology]]></source>
<year>2016</year>
<volume>85</volume>
<page-range>1339-46</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Curra]]></surname>
<given-names><![CDATA[DA]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[del Risco]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predictive model for specific energy consumption in the turning of AISI 316L steel]]></article-title>
<source><![CDATA[Progress in Artificial Intelligence and Pattern Recognition]]></source>
<year>2018</year>
<publisher-loc><![CDATA[Switzerland ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimisation of tool wear and cutting forces on the basis of different cutting parameters]]></article-title>
<source><![CDATA[International Journal of Advance Research and Innovative Ideas in Education]]></source>
<year>2017</year>
<volume>3</volume>
<page-range>613-26</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kant]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Prediction and optimization of machining parameters for minimizing surface roughness and power consumption during turning of AISI 1045 steel]]></source>
<year>2016</year>
<publisher-name><![CDATA[Birla Institute of Technology &amp; Science]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[LW]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Zambrano]]></surname>
<given-names><![CDATA[PC]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Análisis experimental del torneado de alta velocidad del acero AISI 1045]]></article-title>
<source><![CDATA[Ingeniería Mecánica]]></source>
<year>2012</year>
<volume>15</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>10-22</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
