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  <front>

    <journal-meta>

      <journal-title>International Journal of Chemical Technology</journal-title>

      <issn pub-type="ppub">1996-3416</issn>

      <issn pub-type="epub">2152-3304</issn>

      <publisher>

        <publisher-name>Asian Network for Scientific Information</publisher-name>

      </publisher>

    </journal-meta>


    <article-meta>

      <article-id pub-id-type="doi">10.3923/ijct.2012.17.30</article-id>


      <title-group>

        <article-title><![CDATA[Prevention of Steel Corrosion by Cathodic Protection Techniques]]></article-title>

      </title-group>


      <contrib-group>

        <contrib contrib-type="author" xlink:type="simple">


          <name name-style="western">

            <surname>A. Khadom</surname>

            <given-names>Anees</given-names>

          </name>


          <name name-style="western">

            <surname>W. Hameed</surname>

            <given-names>Khalid</given-names>

          </name>


        </contrib>

      </contrib-group>


      <pub-date pub-type="collection">


        <month>1</month>




        <year>2012</year>

      </pub-date>


      <volume>4</volume>

      <issue>1</issue>


      <abstract><![CDATA[<p>The purpose of this study, was to investigate the application of sacrificial anode and impressed current cathodic protection techniques as a tool for determining the optimum zinc consumption, protection potential and protection current for steel in saline water at a given environment of temperature, time, pH and solution velocity. Weight loss method was used to determine the amount of zinc consumption, while the electrochemical polarization methods were used to determine the protection current and potential. Box-Wilson experimental design was used to design the set of impressed current experiments. Zinc consumption increase with temperature, time and solution velocity, while it decreases with pH of solution. Protection potential and current were analyzed using mathematical models. These models were estimated by regression analysis methods.</p>]]></abstract>


    </article-meta>

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