Literature DB >> 31148453

Highly Sensitive Solvent-free Silver Nanoparticle Strain Sensors with Tunable Sensitivity Created Using an Aerodynamically Focused Nanoparticle Printer.

Gil-Yong Lee1, Min-Soo Kim, Soo-Hong Min, Hyung-Soo Kim, Ho-Jin Kim, Rusty Keller2, Jeong-Beom Ihn2, Sung-Hoon Ahn.   

Abstract

We developed and presented highly sensitive solvent-free silver nanoparticle strain sensors fabricated using the aerodynamically focused nanoparticle (AFN) printer. The nanoparticles were printed in various conductive patterns. We explored how printer scan velocity affected pattern geometry and sensor sensitivity. The strain sensors were highly sensitive; the scan velocity afforded tunable sensitivity; and an analytical model predicted the behavior well under low-strain (<0.4%) conditions. We describe a prototype sensor that reliably measured composite beam tensile strain. We further enhanced the sensitivity by creating mechanical cracks, facilitating small dynamic signal measurements. The linear sensitivity of the sensor could be tuned from 18.60 to 290.62 by varying the scan velocity from 2 to 40 μm/s. The cracked sensor afforded the greatest sensitivity (1056) and captured small vibrations from a stringed instrument. We report highly sensitive and reliable measurements of dynamic behavior with simple tunability.

Entities:  

Keywords:  aerodynamically focused nanoparticle printer; nanoparticle packing ratio; printed nanoparticle sensor; strain sensor; tunable sensitivity

Year:  2019        PMID: 31148453     DOI: 10.1021/acsami.9b00943

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  Directly Printed Low-Cost Nanoparticle Sensor for Vibration Measurement during Milling Process.

Authors:  Soo-Hong Min; Tae Hun Lee; Gil-Yong Lee; Daniel Zontar; Christian Brecher; Sung-Hoon Ahn
Journal:  Materials (Basel)       Date:  2020-06-29       Impact factor: 3.623

2.  Interoperable Nanoparticle Sensor Capable of Strain and Vibration Measurement for Rotor Blade Monitoring.

Authors:  Soo-Hong Min; Ying-Jun Quan; Su-Young Park; Gil-Yong Lee; Sung-Hoon Ahn
Journal:  Sensors (Basel)       Date:  2021-05-24       Impact factor: 3.576

  2 in total

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