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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010410</journal-id>
      <journal-title>NIP &amp; Digital Fabrication Conference</journal-title>
      <abbrev-journal-title>nip digi fabric conf</abbrev-journal-title>
      <issn pub-type="ppub">2169-4451</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society of Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151, USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/ISSN.2169-4451.2011.27.1.art00026_1</article-id>
      <article-id pub-id-type="sici">2169-4451(20110101)2011:1L.101;1-</article-id>
      <article-id pub-id-type="publisher-id">nip_v2011n1/splitsection26.xml</article-id>
      <article-id pub-id-type="other">/ist/nipdf/2011/00002011/00000001/art00026</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Development of Inkjet Monitoring System via Piezo Self-Sensing</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Kwon</surname>
            <given-names>Kye-Si</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Choi</surname>
            <given-names>Yun-Sik</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Lee</surname>
            <given-names>Dae-Yong</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2011</year>
      </pub-date>
      <volume>2011</volume>
      <issue>1</issue>
      <fpage>101</fpage>
      <lpage>104</lpage>
      <permissions>
        <copyright-year>2011</copyright-year>
      </permissions>
      <abstract>
        <p>Inkjet technology has recently emerged as one of the most powerful patterning tools for electronic devices. To be a reliable patterning tool, the jetting status of the inkjet dispenser needs to be monitored to immediately detect any malfunction. We present a low cost and high speed
 monitoring module to monitor the jetting condition of a piezo-driven multi-nozzle inkjet head. The developed self-sensing method can detect non-jetting conditions as well as poor jetting conditions such as jetting speed reduction and poor jet strightness. We are testing the long term reliability
 of the proposed monitoring techniques by comparing the self-sensing signal and vision droplet image.</p>
      </abstract>
    </article-meta>
  </front>
</article>
