Documents published in Scipedia

• Design and manufacturing of thermoplastic curved fuselage panel for Large Passenger Aircraft

  I. Martín, K. Fernández, J. Cuenca, K. Muñoz, S. Anaya

  Materiales Compuestos (Online first).

  
  

  Abstract

  Due to the huge interest of the aeronautic industry for finding new solutions in terms of processes and materials to improve performances and to reduce costs, thermoplastic composite materials appeared as an attractive solution. The high temperatures required for processing this kind of materials and the lack of knowledge in the associated manufacturing processes make their application to structural parts more complex compared to that of thermoset composite materials. The study presented here contains the design and manufacturing of a curved section of a fuselage reinforced with omega stringers and ‘Z’ curved frames. The requirements for designing were taken by considering a preliminary flat demo which was manufactured and tested. Following the manufacturing activities conducted with the flat demo, the stiffeners were obtained by hand lay-up and hot press forming, afterwards they were installed in a tooling with specific cavities and the skin was laminated on top. The lamination of the skin was conducted by using a gantry style machine from the Spanish supplier MTorres. The adhesion of the skin to the stiffeners was possible by increasing the temperature to melting point by using a diode laser. After laminating the skin, the whole demo was demolded and inspected by non-destructive testing, showing a good quality in terms of the skin consolidation and in the welding line with the stiffeners. This work was developed as part of LPA project (Large Passenger Aircraft) in the framework of the Clean Sky 2 JU program.

  Abstract
  Due to the huge interest of the aeronautic industry for finding new solutions in terms of processes and materials to improve performances and to reduce costs, thermoplastic [...]

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• Application of machine learning for optimizing the heating process in in-situ consolidation of thermoplastic matrix composite materials

  A. Guillén, I. Martín, K. Fernández, L. Moreno, F. Domínguez

  Materiales Compuestos (2024). Vol. 08 - COMUNICACIONES MATCOMP21 (2022) Y MATCOMP23 (2023), (Núm. 6 - Fabricación y Aplicaciones Industriales), 41

  
  

  Abstract

  This study explores the development and application of data-driven control techniques for managing the power of a laser system used in the in-situ consolidation process of thermoplastic materials (ISC). We discuss the correlation among the main variables - temperature, power, layer number, and lamination speed - and how these interactions inform the design of our control models. Two types of prediction models, multiple polynomial regression and support vector machines are compared. Though the software solution developed here is for testing purposes and not for production, we demonstrate the utility and flexibility of machine learning control approaches for this type of manufacturing process.

  Abstract
  This study explores the development and application of data-driven control techniques for managing the power of a laser system used in the in-situ consolidation process of [...]

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