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Integrated Numerical Workflow & Defect Modelling Strategy for AFP-RTM Assembly

Listing Description

Result description

This result establishes a comprehensive numerical workflow strategy and programming framework that links Digital Twins across the full manufacturing chain of an Outlet Guide Vane (OGV). It combines two core innovations:

  1. Workflow Connectivity: A strategy to exchange data between Automated Fiber Placement (AFP), Resin Transfer Molding (RTM), and Assembly stages.
  2. Defect Modelling: A specific strategy to model and propagate process defects from one stage to the next (e.g., tracking how AFP defects influence RTM behavior).

The solution utilizes Python-based orchestration to bridge commercial and research solvers (ADDPATH, PAM-RTM, PAM-DISTORTION, ALYA, Twinkle, MECAMASTER). It ensures cross-process continuity, allowing for the full simulation of the OGV manufacturing process by connecting previously isolated simulation silos.

Addressing target audiences and expressing needs

Our needs are
  • Collaboration
We specifically need / are looking for

We specifically need / are looking for:

  1. Aerospace Manufacturers (OEMs/Tier 1): Partners to provide industrial use-cases (e.g., OGV) to validate our cross-process defect propagation strategies and help advance the workflow from TRL 4 to TRL 6.
  2. Software Vendors: Collaborators to expand the interoperability of our Python orchestration engine beyond current solvers (AddPath/PAM-RTM) via API integration.
  3. R&D Partners: Collaborators for HORIZON-CL4-2027-04 (AI-Driven Robotics), specifically experts in robotic control and sensors to automate the simulation-hardware feedback loop.
Target audiences
  • Others/ No specific audience
  • Research and Technology Organisations
  • Academia/ Universities

R&D, Technology and Innovation aspects

Current stage description

The “Link-AFP-RTM” numerical workflow has been successfully developed and validated in a controlled laboratory environment. The Python-based orchestration engine is fully functional and currently capable of:

  1. Extracting porosity and fiber orientation data from AFP simulations (AddPath).
  2. Mapping this data onto RTM meshes.
  3. Running coupled flow simulations in PAM-RTM.

Result submitted to Horizon Results Platform by ADDCOMPOSITES OY

Offer Details

Specifications and Deliverables:

Value Proposition:

High scientific potential lies in the ability to simulate “as-manufactured” parts rather than “as-designed” parts. by accurately transferring defect data between AFP and RTM, manufacturers can predict part performance more accurately before physical testing, reducing scrap rates in complex composite assembly.

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Adress:

PUUMIEHENKUJA 5
ESPOO
Uusimaa
02150
Finland

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