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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biomedical and Pharmacology Journal</journalTitle>
          <issn>0974-6242</issn>
            <publicationDate>2015-06-18</publicationDate>
    
        <volume>8</volume>
        <issue>1</issue>

 
    <startPage></startPage>
    <endPage></endPage>

	 
      <doi>10.13005/bpj/579</doi>
        <publisherRecordId>537</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Prediction of the Structural State of Powder Steels by Multifractal Parameterization.</title>

    <authors>
	 


      <author>
       <name>Andrey Ivanovich Shveyov</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Ivan Andreevich Shveyov</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>Tatyana Vladimirovna Shveyova</name>

		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Ekaterina Ivanovna Shveyova</name>

		
	<affiliationId>1</affiliationId>
      </author>
    


	 


      <author>
       <name>Engel Rafikovich Galimov</name>

		
	<affiliationId>2</affiliationId>
      </author>
    


	 


      <author>
       <name>Elmira Engelevna Sharafutdinova</name>

		
	<affiliationId>2</affiliationId>
      </author>
    
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, 423800, Russia  </affiliationName>
    

		
		<affiliationName affiliationId="2">Kazan national research technical university named after A.N. Tupolev, Russia.</affiliationName>
    
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">The paper analyzes the current state of technology of powder steels and potential use in its objectives methodology of multifractal parameterization. The objects of study were samples microstructure of carbon steels. Tasks in the study necessitated the use of standard methods for determining the mechanical properties of the metal, the method of multifractal parameterization, metallographic examinations and standard methods of statistical processing of the results. The influence of the conditions for obtaining images of the microstructure (magnification, the type of etchant, plane grinding) on multifractal parameters uniformity and order was studied. The conditions for image acquisition, excluding distortions of multifractal parameters were found. It was found that the use of multifractal parameterization provides increased strength characteristics of up to 8-10% and significantly (up to 40%) to reduce the cost of optimization by reducing the number of experimental studies.</abstract>

    <fullTextUrl format="html">https://biomedpharmajournal.org/vol8no1/prediction-of-the-structural-state-of-powder-steels-by-multifractal-parameterization-2/</fullTextUrl>

<keywords language="eng">

      
        <keyword>Structural state</keyword>
      

      
        <keyword> powdered steel</keyword>
      

      
        <keyword> forecasting</keyword>
      

      
        <keyword> multifractal parameterization</keyword>
      
</keywords>
  </record>
</records>