<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>38134</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>544</pageFirst>
    <pageLast>550</pageLast>
    <pageNumber/>
    <edition/>
    <issue>10</issue>
    <volume>58</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation>The British Institute of Non-Destructive Testing</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Three-dimensional finite element analysis of the stress-induced geometry effect on self-magnetic leakage fields during tensile deformation</title>
    <abstract language="eng">The metal magnetic memory (MMM) technique relies on the measurement of stress-induced self-magnetic leakage fields (SMLFs) at the stress concentration zones (SCZs) of ferromagnetic materials during mechanical loading. However, there is an associated change in geometry of the specimen along with the stress due to plastic deformation. This paper presents a three-dimensional finite element (3D-FE) analysis of the stress-induced geometry effect on SMLFs in notched specimens during tensile deformation. The tangential (Hx) and normal (Hy) components of the SMLF signals have been predicted from the deformed specimens caused by different levels of tensile stress. Key parameters from the SMLF signals are determined for the possible estimation of damage in the specimen under tension. Studies reveal that the stress-induced geometry effect has a great influence (about 20%) on the SMLF signals, especially in the plastic deformation stage. The results show that the peak amplitude could be used for the estimation of different deformation stages under tension. The study also reveals that the SMLF signal is influenced by the thickness of the tensile specimen. The model-predicted thickness profile has also been experimentally validated.</abstract>
    <parentTitle language="eng">Insight - Non-Destructive Testing and Condition Monitoring</parentTitle>
    <identifier type="doi">10.1784/insi.2016.58.10.544</identifier>
    <identifier type="issn">1354-2575</identifier>
    <identifier type="issn">0007-1137</identifier>
    <enrichment key="date_peer_review">24.11.2016</enrichment>
    <author>S. Waikom Singh</author>
    <author>Robert Stegemann</author>
    <author>Marc Kreutzbruck</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Metal magnetic memory</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Finite element modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Steel</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tensile deformation</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
</export-example>
