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• Process monitoring of aeronautical-graded materials using fiber optics sensors during liquid resin infusion: study on scalability methods

  C. Builes, M. Román Rodríguez, T. González, A. Núñez, R. Lombera

  Materiales Compuestos (2025). Vol. 09 - Comunicaciones MatComp25 (2025), (Núm. 1 - Fabricación y Aplicaciones Industriales), 41

  
  

  Abstract

  The main objective of the FLASH-COMP project is to develop an advanced and efficient quality control solution, operator oriented, capable of detecting defects early and accurately during the manufacturing process. This facilitates the implementation of in-situ corrective actions, aiming to achieve a zero-defect Liquid Resin Infusion (LRI) manufacturing process while significantly, reducing waste generation in composite material production. FLASH-COMP seeks to introduce new diagnostic methods that enable real-time process monitoring, providing relevant information during the process without compromising performance or the quality of the final component. Two embedded fiber optic sensor technologies are used: Fiber Bragg Grating (FBG) and Distributed All Grating (AGF), which are combined to collect process data during the preforming and resin infusion stages. Both technologies are integrated into a complex-geometry component to monitor different critical areas simultaneously. These technologies generate valuable process data, requiring an optimal strategy of sensor positioning, that can adapt to abrupt geometric changes without compromising sensor integrity or component quality. Both sensor technologies provide relevant information related to vacuum level and leaks, temperature, resin impregnation and part curing. This type of sensor requires prior training of the operator for its correct handling and analysis of the data generated. New strategies for manipulating sensors are proposed to facilitate their manipulation on an industrial scale.

  Abstract
  The main objective of the FLASH-COMP project is to develop an advanced and efficient quality control solution, operator oriented, capable of detecting defects early and accurately [...]

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