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May 6, 2026Nature Communications2 citationsOpen Access

Programmable direct-patterning assembly enables high-density and surface-conformal integration of fiber Bragg grating sensor arrays

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YTYin TaoWXWen XuPYPeishi Yu

Key Points

  • To develop a programmable assembly method for integrating fiber Bragg grating sensor arrays on various surfaces.
  • Proposed programmable direct-FBG-patterning assembly for sensor integration.
  • Utilized a mechanics-optics framework to identify bending radii and sensing capability.
  • Demonstrated assembly techniques on curved surfaces.
  • Achieved high integration density of multiplexed FBG arrays.
  • Enabled robust sensor networks along continuous fibers.
  • Facilitated applications in displacement reconstruction, phonation, and gesture monitoring.

Abstract

Abstract Fiber Bragg grating (FBG) sensors are widely used in aerospace monitoring and intelligent manufacturing due to their high sensitivity, yet their deployment relies on manual assembly, limiting precision, integration density, and conformality under extreme conditions. Here, we propose a programmable direct-FBG-patterning (DFP) assembly paradigm for one-step integration of intrinsically brittle multiplexed FBG arrays onto arbitrary curved and non-developable surfaces. A mechanics-optics coupled framework identifies three minimum bending radii governed by interfacial debonding, fiber fracture, and optical attenuation, defining the achievable feature size and multidirectional sensing capability. Guided by this framework, cross-fiber routing and conformal assembly strategies enable high-density sensor networks along a single continuous fiber beyond the limits of manual assembly. We further demonstrate robust and versatile FBG sensor integration in applications including structural displacement reconstruction, phonation, and gesture monitoring, establishing a general strategy for quasi-distributed sensing beyond the constraints of manual assembly.

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Cite This Study

Tao et al. (2026) studied this question.

synapsesocial.com/papers/69fa986a04f884e66b532324https://doi.org/10.1038/s41467-026-72613-3
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