Ajou University repository

Strain-Visualization with Ultrasensitive Nanoscale Crack-Based Sensor Assembled with Hierarchical Thermochromic Membrane
  • Park, Byeonghak ;
  • Kim, Jong Uk ;
  • Kim, Jisun ;
  • Tahk, Dongha ;
  • Jeong, Chanho ;
  • Ok, Jehyung ;
  • Shin, Joo Hwan ;
  • Kang, Daeshik ;
  • Kim, Tae il
Citations

SCOPUS

46

Citation Export

Publication Year
2019-10-01
Publisher
Wiley-VCH Verlag
Citation
Advanced Functional Materials, Vol.29
Keyword
fast responsehierarchical structuresnanoscale crack-based sensorsstrain visualizationthermochromic membranes
Mesh Keyword
Fast responseHierarchical structuresNano scaleStrain visualizationsThermo-chromic
All Science Classification Codes (ASJC)
Electronic, Optical and Magnetic MaterialsChemistry (all)BiomaterialsMaterials Science (all)Condensed Matter PhysicsElectrochemistry
Abstract
As eidetic signal recognition has become important, displaying mechanical signals visually has imposed huge demands for simple readability and without complex signal processing. Such visualization of mechanical signals is used in delicate urgent medical or safety-related industries. Accordingly, chromic materials are considered to facilitate visualization with multiple colors and simple process. However, the response and recovery time is very long, such that rapid regular signals are unable to be detected, i.e., physiological signals, such as respiration. Here, the simple visualization of low strain ≈2%, with ultrasensitive crack-based strain sensors with a hierarchical thermochromic layer is suggested. The sensor shows a gradient color change from red to white color in each strain, which is attributed to the hierarchical property, and the thermal response (recovery) time is dramatically minimized within 0.6 s from 45 to 37 °C, as the hierarchical membrane is inspired by termite mounds for efficient thermal management. The fast recovery property can be taken advantage of in medical fields, such as monitoring regular respiration, and the color changes can be delicately monitored with high accuracy by software on a mobile phone.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30867
DOI
https://doi.org/10.1002/adfm.201903360
Fulltext

Type
Article
Funding
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea grant, funded by the Korean Government (MEST) (NRF-2017R1D1A1B03033089, NRF-2017R1A5A1070259, and NRF-2019R1I1A2A01061966).
Show full item record

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

Related Researcher

KANG, DAESHIK  Image
KANG, DAESHIK 강대식
Department of Mechanical Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.