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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Project deliverable . 2024
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2024
License: CC BY
Data sources: Datacite
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AFP Process Interoperable Digital Twin with permeability predictions

Authors: Addcomposites;

AFP Process Interoperable Digital Twin with permeability predictions

Abstract

This report presents the progress made in developing advanced simulation capabilities for the Automated Fiber Placement (AFP) and Resin Transfer Molding (RTM) processes, as part of the CAELESTIS project. Key achievements include integrating defect generation probabilities into the AFP process simulation using ADDPath® software, developing an automated workflow to generate permeability Reduced Order Models (ROMs) for RTM simulations, and creating methods to generate synthetic gap and misalignment defect data based on real point cloud data distributions. The report also outlines the data flow and simulation strategies employed. Preliminary results are presented, showcasing the initial stage leading to final simulations on the Fan Outlet Guide Vane (FOGV) use case. Future work will focus on integrating experimental defect data, completing permeability ROM training and validation, exploring additional defect types for synthetic data generation, and conducting refined simulations to enable parametric studies for optimizing the final FOGV design. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average