Fish-Scale-Inspired Braiding Yarns for Intelligent Rescue Ropes

Area of Science:

• Materials Science
• Mechanical Engineering
• Sensor Technology

Background:

• Fiber-based strain sensors lack mechanical robustness and anti-torsional capabilities for hazardous rescue environments.
• Existing smart ropes struggle with signal interference from complex mechanical stresses.

Purpose of the Study:

• To develop a smart anti-interference and stress visualization rope (SSVR) for improved emergency rescue operations.
• To create a rope with enhanced mechanical properties and reliable strain monitoring under multidirectional stresses.

Main Methods:

• Designed a triple-braided rope incorporating aramid fibers, nylon, and a novel fish-scale-inspired sensing braided mandrel (SPLY) made of polyester/latex.
• Investigated the anisotropic scaly architecture of the SPLY for ultrasensitive tensile sensing and durability.
• Integrated a data analysis module for real-time force monitoring, action recognition, and active warnings.

Main Results:

• The SPLY demonstrated ultrasensitive tensile sensing (GF = 2068.11, R^2 = 0.986) and high durability (>10,000 cycles).
• The fish-scale design effectively suppressed signal interference from torsional and compressive stresses, ensuring stable monitoring.
• The outer aramid sheath provided >20 kN mechanical protection, flame retardancy, and chemical resistance.

Conclusions:

• The developed SSVR system enables real-time stress monitoring, smart action recognition, and active responses in rescue scenarios.
• This innovative sensing rescue rope (SSR) integrated into the SSVR system enhances safety in demanding environments.
• The proposed strategy advances the development of next-generation intelligent safety systems for critical applications.