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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Phase Transformation Prediction in Cast Aluminum-Iron-Silicon Alloys</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Aleksandr.S. Zhilin</string-name>
          <email>a.s.zhilin@urfu.ru</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Valeria R. Yalunina</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Daria S. Varlamenko</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alvarenga Deborah</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jianguo Li</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Centro Universitário do Sul de Minas (Unis- MG) Virginia</institution>
          ,
          <country country="BR">Brazil</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Materials Science Department Ural Federal University Yekaterinburg</institution>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>School of Materials Tsinghua University Beijing</institution>
          ,
          <country country="CN">China</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Viktor A. Bykov Insitute of Metallurgy Ural Branch RAS, Ural Federal University</institution>
          ,
          <addr-line>Yekaterinburg</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>the present work describes how metallography analysis correlates with prediction of phase transformations on the base of computational modelling of phase transformation processes in cast aluminum-iron-silicon alloys. Structure components are described for the alloys with different alloying composition. Prediction of phase transformations during structure formation process under cooling should be modelled at first; however, actual structure components distribution will vary.</p>
      </abstract>
      <kwd-group>
        <kwd>aluminum</kwd>
        <kwd>silicon</kwd>
        <kwd>metallography</kwd>
        <kwd>alloys</kwd>
        <kwd>modelling</kwd>
        <kwd>casting</kwd>
        <kwd>phase transformation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Aluminum-silicon alloys are well-known materials for large usage in various industrial fields
[
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Silicon is added for making an alloy production by casting, and final alloys will have different
properties according to their manufacturing technology [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. In present work, the aluminum-silicon
alloys are the subject of investigation; creation of advanced properties of any material may be
only made understanding of structural components distribution and its influence on final
properties [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. The present paper demonstrates how modelling made in earlier work [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] correlates
with real structural components analysis. All modeled and experimentally made compositions
contain iron. Because iron addition allows technologies to produce big amounts of final products
at industrial facilities [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ].
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Experimental part</title>
      <p>
        The analyzed compositions are given in table 1. The selection of these compositions is based
on the fact that iron improves complete filling of the mold when the alloy is produced by casting
technologies [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. That is why it is necessary to know what phases iron will form during the
manufacturing process. The variation of silicon is also required for better understanding of
crystallization intervals for every composition.
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Results and Discussion</title>
      <p>
        Modelling of different compositions of alloys aluminum-silicon with further obtaining the
distribution curves of phases in axes of variation of the silicon concentration were obtained
previously [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Some parts of phase diagrams including the regions of solid solutions, secondary
phases and liquid-solid equilibrium curves were defined [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. The obtained structures (fig. 1) for
the alloys with the compositions Al-0%Si-1%Fe; Al-2%Si-1%Fe and Al-4%Si-1%Fe showed that
there were significant changes with increasing the silicon in presence of silicon crystals on the
grain boundaries of solid solution The modelled results [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] correspond to the theory [
        <xref ref-type="bibr" rid="ref2 ref3">2-3</xref>
        ]. In
modelled results it was discussed the behavior of iron as an element affecting the stability of
ironcontaining phases in “liquid + solid = solid” transformations [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Obviously, iron is could be a
part of solid solution, which was dissolved in a matrix of solid solution during crystallization. The
obtained temperature boundaries in paper [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] of each phase showed how the concentration of
silicon changed: it was reducing during cooling in all phases. In present results the character of
the alloys at room temperature showed that the increasing the amount of silicon mostly results in
free silicon phase distribution on the boundaries of grains. Reducing of silicon concentration in
every phase influences on final structure components distribution. The major goal of the work is
to find how the final properties of experimental alloys correlate with predicted properties as well
as what is the use of modern modelling in understanding of real structure formation process.
      </p>
      <p>Fig. 1. Images of: a) Al-0%Si-1%Fe; b) Al-2%Si-1%Fe; c) Al-4%Si-1%Fe</p>
      <p>
        It was discussed [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] more silicon addition into the alloy input resulted in start and finish of
crystallization, position of temperature crystallization intervals and positions of the
transformations. During crystallization, big impact has cooling rate, because at low cooling rates
the liquid might have zones with not equivalent chemical compositions, which finally lead to
form phases with different composition of alloying elements like silicon and iron. While crystals
of solid solution or chemical phase grow, the content of alloying elements in the liquid phase
decreases significantly. Crystals of pure silicon of silicon phase easily distribute on the boundaries
of grains of the solid solution. At high cooling rates, the content of silicon will be higher in solid
solution and other silicon containing phases. Thus, fixation of high temperature state leads to
reduce amount of free silicon, however, if material is heated, diffusion processes and
recrystallization will reverse silicon to grain boundaries. It was also suggested that iron-containing
phases at high temperature are saturated by silicon.
      </p>
      <p>Thus, modeling gives adequate understanding of a phase composition existence in different
temperature regions and expected temperatures of phase transformation areas. However,
experimentally obtained alloys might have the unequal content of phases compared to modelled
results. Based on simulated diagrams, it is possible to choose an alloy composition, but it is
difficult to predict phase distribution in a final structure. Because final structures will be different
for the alloys cooled with different cooling rates.</p>
    </sec>
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