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Pressure loss coefficients for T-pieces at low Reynolds numbers, based on a Neural Network model and experimental data

Philip Ohnewein, AEE INTEC


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    <dct:title>Pressure loss coefficients for T-pieces at low Reynolds numbers, based on a Neural Network model and experimental data</dct:title>
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    <dcat:keyword>pressure loss coefficients</dcat:keyword>
    <dcat:keyword>minor pressure loss</dcat:keyword>
    <dcat:keyword>pressure loss</dcat:keyword>
    <dcat:keyword>hydraulics</dcat:keyword>
    <dcat:keyword>hydraulic modeling</dcat:keyword>
    <dcat:keyword>solar thermal</dcat:keyword>
    <dcat:keyword>solar collector</dcat:keyword>
    <dcat:keyword>collector array</dcat:keyword>
    <dcat:keyword>thermal modeling</dcat:keyword>
    <dcat:keyword>energy conversion</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2017-01-31</dct:issued>
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    <dct:description>&lt;p&gt;This Matlab toolbox contains 4 Matlab functions that serve to calculate pressure loss coefficients (zeta values) for 4 different cases of T-pieces (one function for each case). The pressure loss coefficients are relevant for T-pieces (junctions) of round pipes, and are especially interesting for low Reynolds numbers where hardly any reliable information can be found in literature (as of 2015).&lt;/p&gt;</dct:description>
    <dct:description>For a project description of ParaSol, see http://www.aee-intec.at/index.php?seitenName=projekteDetail&amp;projekteId=207&amp;lang=en The results provided here were developed in an R&amp;D project supported by the Austrian Climate and Energy Fund and carried out as part of the "Energy of the Future" program under contract number FFG 829854. For more information, see https://www.klimafonds.gv.at/foerderungen/gefoerderte-projekte/detail/?plistcall=1&amp;pid=46200</dct:description>
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