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Jeong, Hoon Eui
Multiscale Biomimetics and Manufacturing Lab.
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형상기억특성 및 자극감응성을 지니는 셀룰로오스 유도체 기반 대면적 다중화소 비색 센서

Alternative Title
Large-area, Multipixel Photonic Skin Based On a Shape-memory and Responsive Cellulose Derivative
Author(s)
Sang-Hyeon LeeKahyun SunMinho SeongInsol HwangMinsu KangJaeil KimGeonjun ChoiHyejin JangSeongjin ParkJeong, Hoon Eui
Issued Date
2020-12-17
URI
https://scholarworks.unist.ac.kr/handle/201301/77703
Citation
대한기계학회 2020년 학술대회
Abstract
Photonic skins enable a direct and intuitive visualization of various physical and mechanical stimuli with eye‐readable
colorations by intimately laminating to target substrates. Their development is still at infancy compared to that of
electronic skins. Here, an ultra‐adaptable, large‐area (10 × 10 cm2), multipixel (14 × 14) photonic skin based on a naturally
abundant and sustainable biopolymer of a shape‐memory, responsive multiphase cellulose derivative is presented. The
wearable, multipixel photonic skin mainly consists of a photonic sensor made of mesophase cholesteric hydroxypropyl
cellulose and an ultra‐adaptable adhesive layer made of amorphous hydroxypropyl cellulose. It is demonstrated that with
multilayered flexible architectures, the multiphase cellulose derivative–based integrated photonic skin can not only
strongly couple to a wide range of biological and engineered surfaces, with a maximum of ≈180 times higher adhesion
strengths compared to those of the polydimethylsiloxane adhesive, but also directly convert spatiotemporal stimuli into
visible color alterations in the large‐area, multipixel array. These colorations can be simply converted into 3D strain
mapping data with digital camera imaging.
Publisher
대한기계학회

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