<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/xsl'?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-12T15:06:16Z</responseDate><request verb="GetRecord" identifier="oai:ebiltegia.mondragon.edu:20.500.11984/5952" metadataPrefix="marc">https://ebiltegia.mondragon.edu/oai/request</request><GetRecord><record><header><identifier>oai:ebiltegia.mondragon.edu:20.500.11984/5952</identifier><datestamp>2024-03-04T11:15:02Z</datestamp><setSpec>com_20.500.11984_473</setSpec><setSpec>col_20.500.11984_478</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Sela, Andrés</subfield>
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      <subfield code="a">Ortiz-de-Zarate, Gorka</subfield>
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      <subfield code="a">Soler Mallol, Daniel</subfield>
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      <subfield code="a">ARRAZOLA, PEDRO JOSE</subfield>
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      <subfield code="c">2023</subfield>
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      <subfield code="a">Nowadays, numerical models are one of the most widely used techniques to predict material performance subjected to different manufacturing processes. However, to obtain accurate predictions, these models require reliable input data from thermomechanical tests. Nevertheless, during the test performance the material is self-heated due to a phenomenon known as adiabatic self-heating. Despite the proven relevance of a proper characterization, adiabatic self-heating is not properly taken into account during thermomechanical tests. In addition, in the literature, two different definitions were found under the umbrella of adiabatic-self heating. On the one hand, it could be defined as the ratio between the heat spent to heat the sample to the plastic work, value commonly taken as 0.9. On the other hand, many authors define the adiabatic heating as the ratio between the heat experimentally measured to the total plastic work. This second approach, although seems easier, is neglecting heat losses. These two different approaches could lead to misunderstandings once this parameter is implemented in the models. This paper aims to clarify this issue. Moreover, the techniques found in literature aiming to measure this parameter are usually based on 2D approaches at low temperatures. In this paper, a 3D methodology to measure adiabatic self-heating is presented which considers all possible heat losses (conduction, convection, radiation and mass flux) through infrared measurements and Digital Image Correlation (DIC) technique. The adiabatic self-heating was measured for a widely used alloy (Ti6Al4V) obtaining promising results.</subfield>
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      <subfield code="a">https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&amp;ficha_no=171205</subfield>
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      <subfield code="a">https://hdl.handle.net/20.500.11984/5952</subfield>
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      <subfield code="a">Adiabatic self-heating</subfield>
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      <subfield code="a">Infrared measurement</subfield>
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      <subfield code="a">Thermodynamic analysis</subfield>
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      <subfield code="a">Ti6Al4V</subfield>
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      <subfield code="a">Compression test</subfield>
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      <subfield code="a">Adiabatic self-heating determination for Ti6Al4V at different temperatures</subfield>
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