journal article·2019-10

Strain‐Visualization with Ultrasensitive Nanoscale Crack‐Based Sensor Assembled with Hierarchical Thermochromic Membrane

Byeonghak Park, Jong Uk Kim, Jisun Kim, Dongha Tahk, Chanho Jeong, Jehyung Ok, Joo Hwan Shin, Daeshik Kang, Tae‐il Kim

Advanced Functional Materials· Volume 29· Issue 40
Publisher page

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Chemical Engineering Sungkyunkwan University (SKKU) Suwon 16419 Republic of Korea

Physical Intelligence Department Max Planck Institute for Intelligent Systems Stuttgart 70569 Germany

Department of Biomedical Engineering Sungkyunkwan University (SKKU) Suwon 16419 Republic of Korea

Department of Mechanical Engineering Ajou University Suwon 443‐749 Republic of Korea

School of Chemical Engineering Department of Biomedical Engineering, and Biomedical Institute for Convergence at SKKU (BICS) Sungkyunkwan University (SKKU) Suwon 16419 Republic of Korea

Funding

National Research Foundation of Korea

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