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

Autor: Elías López-Alba, Juan-Antonio Almazán-Lázaro, Francisco-Alberto Díaz-Garrido
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Materials
Materials, Vol 11, Iss 12, p 2469 (2018)
Volume 11
Issue 12
ISSN: 1996-1944
Popis: Liquid composite manufacturing techniques, mainly applied in the transport industry, have been studied and optimized for decades while defect analysis and its minimization have been a goal to increase reliability and mechanical performance. Researchers have found that many process parameters have a strong influence on the mechanical behavior of composite structures where the flow front velocity, closely related to voids, plays a considerable role. In this work, the optimal flow front velocity was evaluated and controlled using a computer vision system for different laminates improving the mechanical tensile properties and void content. Enhanced mechanical tensile properties were found using a feedback flow-controller vision system which was able to keep the optimal flow front velocity constant to reduce the air traps among tows and fibers. Tensile strength was enhanced up to 18% for fiber orientation at 0°
and 3.3% at 90°
whereas tensile modulus was increased up to 18.4% for fibers at 0°
and 8.7% at 90°
A novel methodology is presented through this work, aiming to improve the robustness of resin film infusion (RFI) processes while ensuring the quality of the composite material.
Databáze: OpenAIRE
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