Laser‐Directed Assembly of Stretchable Strain Sensors with Tunable Performance on Complex Curved Surfaces

Stretchable strain sensors are capable of accurately mapping deformation across object surfaces, serving as critical components in structural health monitoring and failure mitigation across diverse systems. However, the inherent geometric complexity and non-uniformity of real-world surfaces pose significant challenges to conformal sensor integration. Moreover, conventional strain sensors face inherent trade-offs among sensitivity, detection range, and tunability, limiting their adaptability in practical applications. This study introduces a laser direct writing strategy that combines material and process innovations to enable scalable fabrication of strain sensors on preformed stretchable curved surfaces. Precise control of laser-induced microstructures allows programmable tuning of electromechanical properties, enabling selective behaviors such as high linearity, strain insensitivity, or pronounced resistance changes at small strains. The resulting devices exhibit a high gauge factor of up to 10<sup>6</sup>, a strain detection range exceeding 100%, a minimum detectable strain of 0.1%, and excellent linearity (correlation coefficient > 0.98) within defined operational ranges. As a proof of concept, a sensor array is implemented for strain mapping and deformation reconstruction on a hemispherical 3D stretchable substrate, demonstrating the capability of this approach for high-resolution strain monitoring on complex, non-planar geometries.

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Publication Details

Journal
Advanced Materials
Published
2025-11-29
DOI
https://doi.org/10.1002/adma.202515730
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

Laser‐Directed Assembly of Stretchable Strain Sensors with Tunable Performance on Complex Curved Surfaces

Taisong Pan, Zhenlong Huang, Yan Jiang, Kaixing Yang et al.
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
article

Laser‐Directed Assembly of Stretchable Strain Sensors with Tunable Performance on Complex Curved Surfaces

Taisong Pan, Zhenlong Huang, Yan Jiang, Kaixing Yang, Tao Chen, Jing Liu, Gao Min, Yuan Lin, Longpeng Yang, Binbin Jiang, Hongwei Xie, Xianwu Tang
article en

Abstract

Stretchable strain sensors are capable of accurately mapping deformation across object surfaces, serving as critical components in structural health monitoring and failure mitigation across diverse systems. However, the inherent geometric complexity and non-uniformity of real-world surfaces pose significant challenges to conformal sensor integration. Moreover, conventional strain sensors face inherent trade-offs among sensitivity, detection range, and tunability, limiting their adaptability in practical applications. This study introduces a laser direct writing strategy that combines material and process innovations to enable scalable fabrication of strain sensors on preformed stretchable curved surfaces. Precise control of laser-induced microstructures allows programmable tuning of electromechanical properties, enabling selective behaviors such as high linearity, strain insensitivity, or pronounced resistance changes at small strains. The resulting devices exhibit a high gauge factor of up to 10<sup>6</sup>, a strain detection range exceeding 100%, a minimum detectable strain of 0.1%, and excellent linearity (correlation coefficient > 0.98) within defined operational ranges. As a proof of concept, a sensor array is implemented for strain mapping and deformation reconstruction on a hemispherical 3D stretchable substrate, demonstrating the capability of this approach for high-resolution strain monitoring on complex, non-planar geometries.

Advanced MaterialsVol. 38(8)
University of Electronic Science and Technology of China (CN), National Engineering Research Center of Electromagnetic Radiation Control Materials (CN), Plano Cancer Institute (US), Renmin University of China (CN)
Openalex Percentile: Top 63%
Advanced Sensor and Energy Harvesting Materials
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