Self-calibrated flexible holographic curvature sensor

Jianling Xiao, Tomasz Tytus Plaskocinski, Mohammad Biabanifard Hossein Abadi, Andrea Di Falco*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Downloads (Pure)

Abstract

Optical curvature sensors find regular use in deformation analysis, typically requiring pre-calibration and post-processing of the gathered data. In this work, a self-calibrated curvature sensor based on flexible holographic metasurfaces operating in the visible range is presented. In contrast to existing solutions, the sensor can be fabricated independently from the target objects and provides an immediate readout of their curvature. The sensor consists of distinct patterned areas that create images of a reference scale and of a position indicator, which shift with respect to each other, as the metasurface is deformed. The results of this sensor are validated with an external calibration and critically discuss the types of deformations that the sensor can detect. This feature makes the sensor particularly attractive for applications where real-time curvature monitoring is essential, such as in robotics, biomechanics, and structural health monitoring.
Original languageEnglish
Number of pages7
JournalAdvanced Materials Technologies
VolumeEarly View
Early online date15 Feb 2024
DOIs
Publication statusE-pub ahead of print - 15 Feb 2024

Fingerprint

Dive into the research topics of 'Self-calibrated flexible holographic curvature sensor'. Together they form a unique fingerprint.

Cite this