Presentation Open Access

Efficient boundary condition estimation for continuous casting machinery

Umberto Emil Morelli; Giovanni Stabile; Patricia Barral; Riccardo Conte; Federico Bianco; Gianluigi Rozza; Peregrina Quitela


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Continuous casting, Inverse Problem, Reduced Basis, Reduced Order Modeling, Finite Volumes</subfield>
  </datafield>
  <controlfield tag="005">20200120170350.0</controlfield>
  <controlfield tag="001">3515768</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">SISSA</subfield>
    <subfield code="a">Giovanni Stabile</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ITMATI</subfield>
    <subfield code="a">Patricia Barral</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Danieli</subfield>
    <subfield code="a">Riccardo Conte</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Danieli</subfield>
    <subfield code="a">Federico Bianco</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">SISSA</subfield>
    <subfield code="a">Gianluigi Rozza</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ITMATI</subfield>
    <subfield code="a">Peregrina Quitela</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">4417094</subfield>
    <subfield code="z">md5:8e8d42d7ceb1fc3d7d634b06a4181935</subfield>
    <subfield code="u">https://zenodo.org/record/3515768/files/WIM2019_UmbertoMorelli.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-10-15</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-romsoc</subfield>
    <subfield code="o">oai:zenodo.org:3515768</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">ITMATI</subfield>
    <subfield code="0">(orcid)0000-0001-9929-5117</subfield>
    <subfield code="a">Umberto Emil Morelli</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Efficient boundary condition estimation for continuous casting machinery</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-romsoc</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">765374</subfield>
    <subfield code="a">Reduced Order Modelling, Simulation and Optimization of Coupled systems</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;In continuous casting machinery, the molten metal solidifies in a mold. In order to control the casting process, a proper knowledge of the heat flux between the mold and the metal in real time is crucial. The heat flux in a portion of the boundary of the mold can be estimated using thermocouples measurements inside the mold and solving an inverse problem. We use a least square approach for this inverse problem minimizing the difference between the&lt;br&gt;
temperature measured in the thermocouples and the one computed with the estimated heat flux. Different methodologies for the solution of this problem are discussed. These methodologies are generally computational expensive. Then to solve the problem in real time, we discuss the use of model order reduction techniques.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3515767</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3515768</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">presentation</subfield>
  </datafield>
</record>
32
20
views
downloads
All versions This version
Views 3232
Downloads 2020
Data volume 88.3 MB88.3 MB
Unique views 2929
Unique downloads 1818

Share

Cite as