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Jung, Im Doo
Intelligent Manufacturing and Materials Lab.
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dc.citation.startPage 101151 -
dc.citation.title ADDITIVE MANUFACTURING -
dc.citation.volume 33 -
dc.contributor.author Jung, Im Doo -
dc.contributor.author Lee, Min Sik -
dc.contributor.author Lee, Jungsub -
dc.contributor.author Sung, Hyokyung -
dc.contributor.author Choe, Jungho -
dc.contributor.author Son, Hye Jin -
dc.contributor.author Yun, Jaecheol -
dc.contributor.author Kim, Ki-bong -
dc.contributor.author Kim, Moobum -
dc.contributor.author Lee, Seok Woo -
dc.contributor.author Yang, Sangsun -
dc.contributor.author Moon, Seung Ki -
dc.contributor.author Kim, Kyung Tae -
dc.contributor.author Yu, Ji-Hun -
dc.date.accessioned 2023-12-21T17:37:29Z -
dc.date.available 2023-12-21T17:37:29Z -
dc.date.created 2020-09-22 -
dc.date.issued 2020-05 -
dc.description.abstract We devised a novel method to embed sensors or integrated circuit (IC) chips into metal components by using a selective laser melting (SLM) process. The concept of a protective layer is introduced to fabricate all parts without damaging the sensors during the laser scanning process. The operation of sensors in the parts is analyzed from a computational analysis on the thermal influence of laser heat. The fabricated metal parts show continuous microstructures including grains and phases between the base part and the new part formed after embedding the sensor despite the intermittent SLM process. The embedded sensor operates properly when compared to bare sensors. Plastic circuit board-based IC components were embedded into an Inconel 718C turbine blade, which accurately distinguished three-dimensional vibration along the X, Y, and Z axes. Our results imply that the proposed process can open new avenues for SLM technology to realize metal components with a self-cognitive ability using integrated sensors. -
dc.identifier.bibliographicCitation ADDITIVE MANUFACTURING, v.33, pp.101151 -
dc.identifier.doi 10.1016/j.addma.2020.101151 -
dc.identifier.issn 2214-8604 -
dc.identifier.scopusid 2-s2.0-85081019564 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/48353 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S2214860419313065 -
dc.identifier.wosid 000539268800005 -
dc.language 영어 -
dc.publisher ELSEVIER -
dc.title Embedding sensors using selective laser melting for self-cognitive metal parts -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Engineering, Manufacturing; Materials Science, Multidisciplinary -
dc.relation.journalResearchArea Engineering; Materials Science -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Self-cognitive metal part -
dc.subject.keywordAuthor Internet of things -
dc.subject.keywordAuthor Selective laser melting -
dc.subject.keywordAuthor Sensor embedding -
dc.subject.keywordAuthor Hyper connection -
dc.subject.keywordPlus MECHANICAL-PROPERTIES -
dc.subject.keywordPlus LATTICE STRUCTURES -
dc.subject.keywordPlus MATRIX COMPOSITES -
dc.subject.keywordPlus INTERNET -
dc.subject.keywordPlus THINGS -
dc.subject.keywordPlus MICROSTRUCTURE -
dc.subject.keywordPlus STRENGTH -
dc.subject.keywordPlus SLM -
dc.subject.keywordPlus OPTIMIZATION -
dc.subject.keywordPlus PROPERTY -

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