ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Deep Learning-Assisted Fingerprint-Inspired Flexible Pressure Sensor for Tension Monitoring in Carbon Fiber Production.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Deep Learning-Assisted Fingerprint-Inspired Flexible Pressure Sensor for Tension Monitoring in Carbon Fiber Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Carbon fiber has become a key emerging material in fields such as aerospace, wind power generation, and new energy vehicles. However, the current mass production of carbon fiber is limited by the challenges in controlling tension stability across wide-width carbon fiber tow arrays, which restricts the performance and quality stability of the final product. Inspired by ancient textile workers who used their fingers to feel the tension of fiber bundles, a flexible pressure sensor is fabricated via laser etching to mimic the structure of fingerprints for monitoring the tension of wide-width carbon fiber bundle arrays. This sensor demonstrates high sensitivity (18.08 kPa
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Registered trials
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