Embedding sensors using selective laser melting for self-cognitive metal parts

被引：23

作者：

Jung, Im Doo ^{[1
,2
]}

Lee, Min Sik ^{[1
]}

Lee, Jungsub ^{[3
]}

Sung, Hyokyung ^{[3
]}

Choe, Jungho ^{[1
]}

Son, Hye Jin ^{[1
]}

Yun, Jaecheol ^{[1
]}

Kim, Ki-bong ^{[1
]}

Kim, Moobum ^{[4
]}

Lee, Seok Woo ^{[4
]}

Yang, Sangsun ^{[1
]}

Moon, Seung Ki ^{[4
]}

Kim, Kyung Tae ^{[1
]}

Yu, Ji-Hun ^{[1
]}

机构：

[1] Korea Inst Mat Sci, Chang Won 51508, Gyeongnam, South Korea

[2] Handong Global Univ, Sch Mech & Control Engn, Pohang 37554, South Korea

[3] Gyeongsang Natl Univ, Dept Mat Engn & Convergence Technol, Jinju 52828, South Korea

[4] Nanyang Technol Univ, 50 Nanyang Ave, Singapore 639798, Singapore

来源：

ADDITIVE MANUFACTURING | 2020年 / 33卷

关键词：

Self-cognitive metal part; Internet of things; Selective laser melting; Sensor embedding; Hyper connection; MECHANICAL-PROPERTIES; LATTICE STRUCTURES; MATRIX COMPOSITES; 316L PARTS; INTERNET; THINGS; SLM; MICROSTRUCTURE; STRENGTH; OPTIMIZATION;

D O I：

10.1016/j.addma.2020.101151

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页数：9

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