a Una importante empresa turca busca un socio de proyecto para la convocatoria M-ERANET: Optimización del proceso de preimpregnado y fabricación inteligente basada en gemelos digitales para materiales compuestos aeroespaciales de alto rendimiento

Una importante empresa turca busca un socio de proyecto para la convocatoria M-ERANET: Optimización del proceso de preimpregnado y fabricación inteligente basada en gemelos digitales para materiales compuestos aeroespaciales de alto rendimiento

Referencia: RDRTR20250408010 Fecha de publicación: 14/04/2025

The project aims to revolutionize the manufacturing of high-performance composite materials used in the aerospace industry by optimizing the press curing process of prepreg systems through advanced digital technologies.

The project will develop a data-driven, AI-enhanced digital twin platform to simulate, monitor, and optimize key curing parameters (temperature, pressure, time, and material composition), resulting in sustainable, efficient, and intelligent production systems.

The consortium is seeking industrial and research partners with complementary expertise to strengthen the implementation and validation of the project. In particular, we welcome collaboration with:

  • Aerospace Component Manufacturers or Tier-1 Suppliers: Expertise in composite part manufacturing, structural part design, or aerospace-grade certification processes. Capability to conduct pilot trials and support validation of optimized press cure processes.
  • Digital Twin and Simulation Experts: Proven experience in developing physics-based and AI-enhanced digital twin models for manufacturing processes. Knowledge of rheological, thermal, and chemical modeling for polymer composites.
  • Sensor and IoT Technology Providers: Development or integration of smart sensors (temperature, pressure, viscosity, moisture) for in-situ process monitoring. Experience in data acquisition systems and industrial connectivity.
  • AI and Machine Learning Specialists: Ability to develop predictive algorithms and data-driven models based on experimental and process data. Experience with hybrid modeling (combining data-driven and physics-based approaches).
  • Sustainability and LCA Analysts: Expertise in assessing environmental impact, particularly energy consumption and material waste in composite manufacturing. Capability to support eco-design and circular economy assessments aligned with EU climate goals. 

Deadline of the call is 13 May 2025.

Otra información de interés

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Esta oportunidad, se ha extraído de la base de datos global de la Enterprise Europe Network que puede consultar en la web del consorcio EEN-GalacteaPlus.

 

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