Dramatically Enhanced Mechanosensitivity and Signal-to-Noise Ratio of Nanoscale Crack-Based Sensors: Effect of Crack Depth

Adv Mater. 2016 Oct;28(37):8130-8137. doi: 10.1002/adma.201602425. Epub 2016 Jul 11.

Authors

Byeonghak Park¹, Jisun Kim¹, Daeshik Kang², Chanho Jeong^{3

4}, Kwang Su Kim⁵, Jong Uk Kim¹, Pil J Yoo^{1

5}, Tae-Il Kim^{6

7

8}

Affiliations

¹ School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea.
² Department of Mechanical Engineering, Ajou University, Suwon, 16499, Republic of Korea.
³ Center for Neuroscience Imaging Research (CNIR), Institute of Basic Science (IBS), Suwon, 16419, Republic of Korea.
⁴ Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea.
⁵ SKKU Advanced Institute of Nanoscience and Technology (SAINT), Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea.
⁶ School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea. taeilkim@skku.edu.
⁷ Center for Neuroscience Imaging Research (CNIR), Institute of Basic Science (IBS), Suwon, 16419, Republic of Korea. taeilkim@skku.edu.
⁸ Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea. taeilkim@skku.edu.

PMID: 27396592
DOI: 10.1002/adma.201602425

Abstract

The sensitivity of a nanoscale crack-based sensor is enhanced markedly by modulating the crack depth. The crack-depth-propagated sensor exhibits ≈16 000 gauge factor at 2% strain and a superior signal-to-noise ratio of ≈35, which facilitates detection of target signals for voice-pattern recognition.

Keywords: crack depth; gauge factors; signal-to-noise ratio; strain gauge sensors.