Imagine building a plane part where you can predict exactly where a tiny flaw might appear before you even make it. Instead of over-engineering parts to be heavy just to be safe, this tech uses smart math and sensors to prove a part is strong enough. It's like having a high-tech X-ray and a crystal ball combined for aircraft engine components.
Aviation manufacturers rely on oversized safety margins because they cannot accurately predict material randomness. This leads to heavier parts, slower certification, and higher production costs.
A hybrid metal-composite Outlet Guide Vane (OGV) demonstrator and a set of uncertainty quantification (UQ) tools integrating machine learning and in-situ monitoring.
If you are a manufacturer dealing with high scrap rates in engine parts — this project developed uncertainty quantification tools that can lead to 50-70% fewer defects and lower manufacturing costs by 30-50%.
If you are an OEM dealing with slow and expensive part qualification — this project developed virtual certification methods that reduce qualification time by 30-40% and costs by 25-35%.
If you are a materials supplier dealing with the difficulty of joining metal and carbon fiber — this project developed a hybrid interface for Outlet Guide Vanes that can reduce part weight by 20-40%.
By implementing in-line quality assurance and advanced predictive capabilities, the project aims to lower manufacturing costs by 30-50%.
The project is currently demonstrating these technologies using a specific aviation use case, the Outlet Guide Vane (OGV), to prove scalability in engine aerostructures.
Based on available project data, specific licensing terms are not listed, but the project involves a consortium of 6 partners including 3 industrial entities.
The use of Virtual Certification and uncertainty quantification is expected to reduce qualification time by 30-40%.
Yes, the project specifically focuses on in-line quality assurance support to reduce manufacturing time by 20-30%.
The consortium is highly balanced for commercialization, featuring a 50% industry ratio with 3 industrial partners and 3 research organizations. The presence of 2 SMEs suggests a focus on agile implementation and specialized technology transfer, while the coordination by SINTEF AS provides a strong research-to-industry bridge across Norway, France, and Sweden.
Contact SINTEF AS regarding the UPBEAT project outcomes
Contact us to connect with the UPBEAT consortium for licensing these UQ tools.
