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    <identifier>10.57760/sciencedb.hjs.00015</identifier>
    <datestamp>2024-05-20T09:15:50Z</datestamp>
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  <dc:date>2024-05-20</dc:date>
  <dc:title>Dataset for steady-state performance analysis of lithium heat pipes based on improved lumped parameter method</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.hjs.00015</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is mainly generated by improving the lumped parameter method, using Python program to numerically simulate lithium heat pipes, and then analyzing the data using Origin. The resulting dataset is divided into three parts:1) Lithium heat pipe validation data2) Dataset on the impact of power on the performance of lithium heat pipes under fixed heat sink conditions3) Dataset on the impact of power on the performance of lithium heat pipes at a fixed operating temperature</dc:description>
  <dc:subject>lumpedparametermethod; lithiumheatpipe; Python; flowandheat transfer; ultra-hightemperature; numericalmodel</dc:subject>
  <dc:creator>hu chong ju</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://api.github.com/licenses/agpl-3.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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