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Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology.

Vincenzo Romano Marrazzo1, Armando Laudati2, Michele Vitale2

  • 1Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", 80125 Naples, Italy.

Sensors (Basel, Switzerland)
|January 22, 2022
PubMed
Summary
This summary is machine-generated.

A fiber-optic sensor network monitored liquid resin infusion, tracking temperature and resin arrival in composite panels. This validated a numerical model, improving understanding of resin flow during composite manufacturing.

Keywords:
composite materialfiber Bragg gratingfiber optic sensorliquid resin infusionsensor networktemperature measurement

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Area of Science:

  • Materials Science
  • Composite Manufacturing
  • Sensor Technology

Background:

  • Liquid resin infusion is a critical composite manufacturing process.
  • Accurate monitoring of resin flow and temperature is essential for quality control.
  • Traditional monitoring methods can be intrusive or limited in scope.

Purpose of the Study:

  • To develop and validate a fiber-optic sensor network for real-time monitoring of liquid resin infusion.
  • To simultaneously measure temperature and detect resin arrival within composite structures.
  • To use sensor data for validating numerical models of the infusion process.

Main Methods:

  • A fiber-optic sensor network comprising 18 Fiber Bragg Gratings (FBGs) for temperature sensing and 22 modified fiber optic probes for resin detection was designed.
  • Sensors were integrated into a composite panel with a skin and four stringers.
  • The system was tested using a commercial Micron Optics interrogator at 0.5 Hz with a passive split-box for simultaneous sensing.

Main Results:

  • The sensor network successfully detected resin arrival at various locations within the panel.
  • Temperature trends during the infusion process were accurately recorded.
  • The experimental data provided validation for a numerical model of the resin infusion process.

Conclusions:

  • The fiber-optic sensor network is an effective tool for monitoring liquid resin infusion processes.
  • The validated numerical model offers enhanced understanding of resin flow dynamics and preform filling times.
  • This approach contributes to improved quality control and process optimization in composite manufacturing.