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  <doc>
    <id>5183</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>SAGE Publications</publisherName>
    <publisherPlace>London, England</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2019-12-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Multi-objective optimization of water injection in spark-ignition engines using the stochastic reactor model with tabulated chemistry</title>
    <abstract language="eng">Water injection is investigated for turbocharged spark-ignition engines to reduce knock probability and enable higher engine efficiency. The novel approach of this work is the development of a simulation-based optimization process combining the advantages of detailed chemistry, the stochastic reactor model and genetic optimization to assess water injection. The fast running quasi-dimensional stochastic reactor model with tabulated chemistry accounts for water effects on laminar flame speed and combustion chemistry. The stochastic reactor model is coupled with the Non-dominated Sorting Genetic Algorithm to find an optimum set of operating conditions for high engine efficiency. Subsequently, the feasibility of the simulation-based optimization process is tested for a three-dimensional computational fluid dynamic numerical test case. The newly proposed optimization method predicts a trade-off between fuel efficiency and low knock probability, which highlights the present target conflict for spark-ignition engine development. Overall, the optimization shows that water injection is beneficial to decrease fuel consumption and knock probability at the same time. The application of the fast running quasi-dimensional stochastic reactor model allows to run large optimization problems with low computational costs. The incorporation with the Non-dominated Sorting Genetic Algorithm shows a well-performing multi-objective optimization and an optimized set of engine operating parameters with water injection and high compression ratio is found.</abstract>
    <identifier type="issn">1468-0874</identifier>
    <identifier type="issn">2041-3149</identifier>
    <identifier type="doi">10.1177/1468087419857602</identifier>
    <enrichment key="opus.import.user">deepgreen</enrichment>
    <enrichment key="opus.import.date">2020-05-27T08:48:04+00:00</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
    <enrichment key="opus.import.checksum">ed27d24105758f37d931c5b8dc9bd3fc</enrichment>
    <enrichment key="SourceTitle">Erstveröffentlichung: Tim Franken, Corinna Netzer, Fabian Mauss, Michal Pasternak, Lars Seidel, Anders Borg, Harry Lehtiniemi, Andrea Matrisciano, Andre Casal Kulzer. Multi-objective optimization of water injection in spark-ignition engines using the stochastic reactor model with tabulated chemistry. International Journal of Engine Research, 2019, vol. 20(10) 1089-1100. DOI 10.1177/1468087419857602</enrichment>
    <licence>Keine Lizenz vergeben. Es gilt das deutsche Urheberrecht.</licence>
    <author>Tim Franken</author>
    <author>Corinna Netzer</author>
    <author>Fabian Mauss</author>
    <author>Michal Pasternak</author>
    <author>Lars Seidel</author>
    <author>Anders Borg</author>
    <author>Harry Lehtiniemi</author>
    <author>Andrea Matrisciano</author>
    <author>Andre Casal Kulzer</author>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>Ottomotor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Water injection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Genetic optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spark-ignition engine</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic reactor model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Detailed chemistry</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Wassereinspritzung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Prozessoptimierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Stochastisches Modell</value>
    </subject>
    <collection role="ddc" number="629">Andere Fachrichtungen der Ingenieurwissenschaften</collection>
    <collection role="institutes" number="3207">FG Thermodynamik / Thermische Verfahrenstechnik</collection>
    <collection role="Import" number="import">Import</collection>
    <collection role="collections" number="">Zweitveröffentlichungen</collection>
  </doc>
</export-example>
