Scale-Bridging Mechanics Transfer Enables Ultrabright Mechanoluminescent Fiber Electronics

Mechanoluminescent (ML) fibers and textiles enable stress visualization without auxiliary power, showing great potential in wearable electronics, machine vision, and human-computer interaction. However, traditional ML devices suffer from inefficient stress transfer in soft-rigid material systems, leading to low luminescence brightness and short cycle life. Here, we propose a tendon-inspired scale-bridging mechanics transfer mechanism for ML composites, which employs molecular-scale copolymerized cross-linking and nanoscale inorganic nanoparticles as hierarchical stress transfer sites. This strategy effectively reduces the dissipation of stress in molecular chain segments and alleviates local stress concentration, increases luminescence by 9 times, and extends cycle life to more than 10,000 times. Furthermore, a scalable (kilometer-scale) anti-Plateau-Rayleigh instability manufacturing technology is developed for thermoset ML fibers, compatible with various existing textile techniques. We also demonstrate its system-level applications in motion capture, underwater interaction, <i>etc.</i>, providing a feasible strategy for the next generation of smart visual textiles.

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Publication Details

Journal
ACS Nano
Published
2024-08-20
DOI
https://doi.org/10.1021/acsnano.4c07125
Citations
8
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.48

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article

Scale-Bridging Mechanics Transfer Enables Ultrabright Mechanoluminescent Fiber Electronics

Yaogang Li, Weifeng Yang, Chengyi Hou, Boya Chang et al.
8 citations
ACS Nano
Advanced Sensor and Energy Harvesting Materials
1.48
article

Scale-Bridging Mechanics Transfer Enables Ultrabright Mechanoluminescent Fiber Electronics

Yaogang Li, Weifeng Yang, Chengyi Hou, Boya Chang, Hongzhi Wang, Qinghong Zhang, Wei Gong, Kerui Li, Yue Wang
article en
8 citations

Abstract

Mechanoluminescent (ML) fibers and textiles enable stress visualization without auxiliary power, showing great potential in wearable electronics, machine vision, and human-computer interaction. However, traditional ML devices suffer from inefficient stress transfer in soft-rigid material systems, leading to low luminescence brightness and short cycle life. Here, we propose a tendon-inspired scale-bridging mechanics transfer mechanism for ML composites, which employs molecular-scale copolymerized cross-linking and nanoscale inorganic nanoparticles as hierarchical stress transfer sites. This strategy effectively reduces the dissipation of stress in molecular chain segments and alleviates local stress concentration, increases luminescence by 9 times, and extends cycle life to more than 10,000 times. Furthermore, a scalable (kilometer-scale) anti-Plateau-Rayleigh instability manufacturing technology is developed for thermoset ML fibers, compatible with various existing textile techniques. We also demonstrate its system-level applications in motion capture, underwater interaction, <i>etc.</i>, providing a feasible strategy for the next generation of smart visual textiles.

ACS NanoVol. 18(35)
Anhui Agricultural University (CN), Donghua University (CN), ETH Zurich (CH), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, Donghua University, Natural Science Foundation of Anhui Province, University Natural Science Research Project of Anhui Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 19%
Advanced Sensor and Energy Harvesting Materials
1.48
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