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Related Experiment Video

Updated: Feb 18, 2026

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
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Incorporation of Fiber Bragg Sensors for Shape Memory Polyurethanes Characterization.

Nélia Alberto1,2, Maria A Fonseca3, Victor Neto4

  • 1Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal. nelia@av.it.pt.

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|November 16, 2017
PubMed
Summary

Researchers embedded fiber Bragg grating (FBG) sensors into shape memory polyurethanes (SMPUs) to monitor their shape memory effect. This novel method accurately tracks temperature and strain, proving effective for SMPU characterization.

Keywords:
fiber Bragg grating sensorsinjection moldingpolyurethanesshape memory polymers

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Area of Science:

  • Materials Science
  • Polymer Science
  • Sensor Technology

Background:

  • Shape memory polyurethanes (SMPUs) are advanced materials with thermally activated shape memory properties.
  • Applications span aerospace, automotive, and biomedical industries, necessitating precise characterization.
  • Current characterization methods using mechanical testing and heat sources are difficult to monitor accurately.

Purpose of the Study:

  • To embed fiber Bragg grating (FBG) sensors into SMPU samples.
  • To characterize the shape memory effect of SMPUs using embedded FBG sensors.
  • To validate the feasibility of FBG sensors for monitoring SMPU processing and performance.

Main Methods:

  • SMPU samples were fabricated using injection molding.
  • Fiber Bragg grating (FBG) sensors were embedded within the SMPU samples.
  • The shape memory effect was studied by monitoring FBG sensor response during thermal cycles and mechanical strain.

Main Results:

  • The entire injection molding process cycle was successfully monitored using embedded FBG sensors.
  • FBG sensors maintained integrity and functionality throughout the embedding and testing phases.
  • A strong correlation was observed between the FBG peak reflection, temperature, and induced strain.

Conclusions:

  • Embedded FBG sensors provide a feasible and effective method for characterizing the shape memory effect in SMPUs.
  • This technology offers a reliable way to monitor the processing quality and performance of SMPUs.
  • FBG sensor integration enables accurate real-time data acquisition for material property analysis.