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Improving Composite Tensile Properties during Resin Infusion Based on a Computer Vision Flow-Control Approach.

Juan-Antonio Almazán-Lázaro1, Elías López-Alba2, Francisco-Alberto Díaz-Garrido3

  • 1Departamento de Ingeniería Mecánica y Minera, Campus Las Lagunillas, Universidad de Jaén, 23071 Jaén, Spain. jalmazan@ujaen.es.

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Controlling the resin flow front velocity during composite manufacturing using computer vision significantly enhances mechanical properties. This method reduces voids and improves tensile strength and modulus in composite materials.

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Manufacturing Processes

Background:

  • Liquid composite manufacturing is crucial for the transport industry, with decades of optimization focused on defect reduction for enhanced reliability and performance.
  • Process parameters critically influence composite mechanical behavior, with flow front velocity and void content being particularly significant factors.

Purpose of the Study:

  • To evaluate and control the optimal flow front velocity in liquid composite manufacturing using a computer vision system.
  • To improve mechanical tensile properties and reduce void content in composite laminates by maintaining a constant, optimal flow front velocity.

Main Methods:

  • Implementation of a computer vision system to monitor and control the flow front velocity during resin film infusion (RFI).
  • Utilizing a feedback flow-controller to maintain the optimal flow front velocity, thereby minimizing air entrapment.
  • Testing of composite laminates with varying fiber orientations (0° and 90°) to assess mechanical properties.

Main Results:

  • Enhanced mechanical tensile properties were achieved by maintaining a constant optimal flow front velocity.
  • Tensile strength increased by up to 18% at 0° and 3.3% at 90° fiber orientation.
  • Tensile modulus improved by up to 18.4% at 0° and 8.7% at 90° fiber orientation, with reduced void content.

Conclusions:

  • A novel methodology using computer vision for flow front velocity control enhances the robustness and quality of resin film infusion (RFI) processes.
  • The developed system effectively reduces air traps and improves key mechanical properties of composite materials.
  • This approach offers a pathway to more reliable and higher-performing composite structures.