File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

박영빈

Park, Young-Bin
Functional Intelligent Materials Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 291 -
dc.citation.startPage 281 -
dc.citation.title COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING -
dc.citation.volume 84 -
dc.contributor.author Gnidakouong, Joel Renaud Ngouanom -
dc.contributor.author Roh, Hyung Doh -
dc.contributor.author Kim, Joo-Hyung -
dc.contributor.author Park, Young-Bin -
dc.date.accessioned 2023-12-21T23:45:06Z -
dc.date.available 2023-12-21T23:45:06Z -
dc.date.created 2016-05-13 -
dc.date.issued 2016-05 -
dc.description.abstract We report a method to monitor the manufacturing process of hierarchical micro-/nano-composites that uses integrated and percolated multi-walled carbon nanotube (MWCNT) networks with the aim of reducing part-to-part variability. Composites were fabricated by VARTM. Fiber textiles were spray-coated with MWCNTs, electrodes were embedded prior to vacuum bagging. In situ process monitoring was achieved by measurement of the electrical resistance of electrode pairs. The effects of MWCNT density and length on the ability to monitor the manufacturing process were evaluated. Experiments showed that monitoring the changes in resistance between electrode pairs on the conductive MWCNT network allowed various events during the manufacturing process, including part infusion, onset of crosslinldng, and gel point of the resin, which are necessary for accurate evaluation of part quality. Our simple yet effective method to monitor the manufacturing processes and predict the final-part quality of multiscale composites can be integrated into existing processes with minimal modifications. -
dc.identifier.bibliographicCitation COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, v.84, pp.281 - 291 -
dc.identifier.doi 10.1016/j.compositesa.2016.01.017 -
dc.identifier.issn 1359-835X -
dc.identifier.scopusid 2-s2.0-84959075534 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/19166 -
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S1359835X16000324 -
dc.identifier.wosid 000374198400029 -
dc.language 영어 -
dc.publisher ELSEVIER SCI LTD -
dc.title In situ process monitoring of hierarchical micro-/nano-composites using percolated carbon nanotube networks -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Engineering, Manufacturing; Materials Science, Composites -
dc.relation.journalResearchArea Engineering; Materials Science -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Nano-structures -
dc.subject.keywordAuthor Process monitoring -
dc.subject.keywordAuthor Cure -
dc.subject.keywordAuthor Resin flow -
dc.subject.keywordPlus MOLDING VARTM PROCESS -
dc.subject.keywordPlus ELECTROPHORETIC DEPOSITION -
dc.subject.keywordPlus MECHANICAL-PROPERTIES -
dc.subject.keywordPlus RESIN FLOW -
dc.subject.keywordPlus MULTISCALE-REINFORCEMENT -
dc.subject.keywordPlus GLASS-FIBERS -
dc.subject.keywordPlus RTM PROCESS -
dc.subject.keywordPlus SENSORS -
dc.subject.keywordPlus FABRICS -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.