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Versatile Mechanochromic Sensor based on Highly Stretchable Chiral Liquid Crystalline Elastomer.
Woong Chan Han1, Young-Joo Lee2, Se-Um Kim3
1Department of Polymer Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, 608737, Republic of Korea.
Small (Weinheim an Der Bergstrasse, Germany)
|December 4, 2022
Summary
Researchers developed a novel mechanochromic strain sensor using a liquid crystalline elastomer. This sensor can detect orientation, location, and degree of deformation, enabling applications in wearable devices and soft robotics.
Area of Science:
- Materials Science
- Polymer Chemistry
- Soft Robotics
Background:
- Mechanochromic sensors offer visual feedback for strain detection.
- Liquid crystalline elastomers (LCEs) possess unique stimuli-responsive properties.
- Developing sensors that can distinguish complex deformations remains a challenge.
Purpose of the Study:
- To propose a novel mechanochromic strain sensor capable of discerning deformation orientation, location, and degree.
- To utilize a main-chain chiral liquid crystalline elastomer (MCLCE) for advanced sensing capabilities.
- To demonstrate the sensor's applicability in various configurations and potential for pattern display.
Main Methods:
- Fabrication of a highly stretchable MCLCE film via step-growth polymerization of liquid crystal oligomers.
- Phase-stabilization of the MCLCE in a solvent mesogen for uniform color shift.
- Integration of the MCLCE film onto a stretchable elastomer substrate.
Main Results:
- The MCLCE film exhibited uniform and significant color shift even under small strains.
- The sensor demonstrated multimodal, instantaneous color changes for in-plane deformation, out-of-plane bending, and nonzero Gaussian deformation.
- The sensor successfully displayed color patterns and encrypted images in response to localized stimuli.
Conclusions:
- The proposed MCLCE-based sensor effectively distinguishes complex deformation parameters.
- The sensor's design allows for versatile applications in wearable devices, displays, and soft robotics.
- This work presents a simple yet powerful platform for advanced visual strain sensing.

