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Scalable Fabrication of Nano-yarn-based Strain Sensor for Motion Sensing

Colin Pak Yu Chan, Xiaoting Li, Xiaoyang Zou, Zijia Qu, King Wai Chiu Lai*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Nanomaterials have gained significant attention in fabricating on-skin and wearable electronic devices, offering diverse applications in interactive touch screens, pressure sensors, strain sensors, and medical devices. Researchers have explored stretchable conductive fibers embedded in soft polymers for their lightweight, flexible nature and fabric attachment capabilities. Various natural materials, including flax, cotton, wool, and silk, have created flexible sensors. High conductivity in natural materials can be achieved through carbonization or coating processes using conductive particles like graphene, carbon nanotubes, and liquid metal. However, these processes have drawbacks such as elevated working temperatures, complex setups, lengthy durations, and labor-intensive procedures. The dipping coating technique, while promising, also faces challenges in achieving precise thickness control, uniform particle coverage, and proper adhesion for long-term durability. This study introduces an automated machine and a layer-by-layer dip coating approach to address these challenges in fabricating polyurethane yarn (PUY)-based strain sensors. The novel technique significantly reduces production time, increases success rates, and demonstrates the potential for efficient and scalable fabrication of PUY-based strain sensors. © 2023 IEEE.
Original languageEnglish
Title of host publication2023 IEEE 16th International Conference on Nano/Molecular Medicine & Engineering (NANOMED)
PublisherIEEE
Pages207-211
ISBN (Electronic)979-8-3503-4370-0
ISBN (Print)979-8-3503-4371-7
DOIs
Publication statusPublished - Dec 2023
Event16th IEEE International Conference on Nano/Molecular Medicine & Engineering (IEEE-NANOMED 2023) - Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
Duration: 5 Dec 20238 Dec 2023
https://ieee-nanomed.org/2023/

Publication series

Name
ISSN (Print)2836-0249
ISSN (Electronic)2836-0257

Conference

Conference16th IEEE International Conference on Nano/Molecular Medicine & Engineering (IEEE-NANOMED 2023)
Abbreviated titleNANOMED 2023
PlaceJapan
CityOkinawa
Period5/12/238/12/23
Internet address

Funding

The work is partially supported by grants from the Research Grant Council of the Hong Kong Special Administrative Region Government (TBRS Grant: T42-717/20-R and CRF Grant: C7174-20G).

Research Keywords

  • Motion Detection
  • Strain Sensor
  • scalable fabrication

RGC Funding Information

  • RGC-funded

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