<?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>2218-3620</journal-id>
<journal-title><![CDATA[Revista Universidad y Sociedad]]></journal-title>
<abbrev-journal-title><![CDATA[Universidad y Sociedad]]></abbrev-journal-title>
<issn>2218-3620</issn>
<publisher>
<publisher-name><![CDATA[Editorial "Universo Sur"]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2218-36202022000300382</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Influence of temperature and composition on the prediction of the thermophysical properties of steel (I)]]></article-title>
<article-title xml:lang="es"><![CDATA[Influencia de la temperatura y la composición en la predicción de las propiedades termofísicas del acero (I)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Camaraza-Medina]]></surname>
<given-names><![CDATA[Yanan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Matanzas  ]]></institution>
<addr-line><![CDATA[ Matanzas]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<volume>14</volume>
<numero>3</numero>
<fpage>382</fpage>
<lpage>394</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2218-36202022000300382&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2218-36202022000300382&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2218-36202022000300382&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT A proposal for the modeling of two thermo physical properties of steel as a function of the temperature and composition is presented. A residual method based on a progressive adjustment of functions is applied to estimate two thermo physical properties (electrical resistivity and linear thermal expansion) corresponding to 32 steels types with a composition (C, Mn , P, S, Si, Ni, Cr, Mo, V) and that operate in a temperature range from 0oC to 800oC. The validation and adjustment of the proposed models is made by comparing it with available experimental data. The weaker adjustment was achieved in the modeling of the electrical resistivity of AISI-SAE 405 steel with a mean and maximum deviation obtained of 8,2% and -9,9% respectively, while the best indices were obtained in the estimation of the density of AISI-SAE 1030 steel with a mean and maximum deviation obtained from 0,9% and 1,3% respectively. In all cases, the agreement of the proposed model is good enough to be considered satisfactory for practical design. Regarding the elements of study presented, there is no evidence of similar expressions in the available and known literature, which is why they are considered a scientific novelty.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Se presenta una propuesta para el modelado de dos propiedades termofísicas del acero en función de la temperatura y la composición. Se aplica un método residual basado en un ajuste progresivo de funciones para estimar dos propiedades termofísicas (resistividad eléctrica y dilatación térmica lineal) correspondientes a 32 tipos de aceros con una composición (C, Mn, P, S, Si, Ni, Cr, Mo , V) y que operan en un rango de temperatura de 0oC a 800oC. La validación y ajuste de los modelos propuestos se realiza comparándolos con los datos experimentales disponibles. El ajuste más débil se logró en el modelado de la resistividad eléctrica del acero AISI-SAE 405 con una desviación media y máxima obtenida de 8,2% y -9,9% respectivamente, mientras que los mejores índices se obtuvieron en la estimación de la densidad de acero AISI-SAE 1030 con una desviación media y máxima obtenida de 0,9% y 1,3% respectivamente. En todos los casos, la concordancia del modelo propuesto es suficientemente buena para considerarse satisfactoria para el diseño práctico. En cuanto a los elementos de estudio presentados, no existe evidencia de expresiones similares en la literatura disponible y conocida, por lo que se consideran una novedad científica.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Thermo physical properties]]></kwd>
<kwd lng="en"><![CDATA[progressive adjustment method]]></kwd>
<kwd lng="en"><![CDATA[experimental data generalization]]></kwd>
<kwd lng="en"><![CDATA[mean absolute error]]></kwd>
<kwd lng="es"><![CDATA[propiedades termofísicas]]></kwd>
<kwd lng="es"><![CDATA[método de ajuste progresivo]]></kwd>
<kwd lng="es"><![CDATA[generalización de datos experimentales]]></kwd>
<kwd lng="es"><![CDATA[error absoluto medio]]></kwd>
</kwd-group>
</article-meta>
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<person-group person-group-type="author">
<name>
<surname><![CDATA[Zheng]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Shu]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predictions of material properties in cold-rolled austenitic stainless steel tubular sections]]></article-title>
<source><![CDATA[Journal of Constructional Steel Research]]></source>
<year>2020</year>
<volume>164</volume>
<page-range>105820</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
