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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://dspace.univ-guelma.dz/jspui/handle/123456789/1451" />
  <subtitle />
  <id>https://dspace.univ-guelma.dz/jspui/handle/123456789/1451</id>
  <updated>2026-04-07T11:11:58Z</updated>
  <dc:date>2026-04-07T11:11:58Z</dc:date>
  <entry>
    <title>New empirical correlation for estimation of vaporization enthalpy of algerian saharan blend petroleum fractions</title>
    <link rel="alternate" href="https://dspace.univ-guelma.dz/jspui/handle/123456789/1811" />
    <author>
      <name>Belghit, Chafik</name>
    </author>
    <id>https://dspace.univ-guelma.dz/jspui/handle/123456789/1811</id>
    <updated>2019-02-11T10:28:38Z</updated>
    <published>2018-05-07T00:00:00Z</published>
    <summary type="text">Titre: New empirical correlation for estimation of vaporization enthalpy of algerian saharan blend petroleum fractions
Auteur(s): Belghit, Chafik
Résumé: A Real-coded Genetic Algorithm has been used to develop a new correlation&#xD;
to estimate the enthalpy of vaporization for pure compounds and petroleum&#xD;
fractions as a function of the normal boiling point and specific gravity. In developing&#xD;
the correlation 80% of the data was used and the remaining are used&#xD;
for validation. The results of the proposed correlations are compared to others&#xD;
in literature. The comparison indicates that the proposed model is simple to&#xD;
use and more accurate than the most common correlations for predicting the&#xD;
enthalpy of vaporization of pure compounds and petroleum fractions.</summary>
    <dc:date>2018-05-07T00:00:00Z</dc:date>
  </entry>
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