Imagine trying to find a tiny crack inside a thick metal pipe, but the metal's grain structure scrambles your ultrasound signal — like trying to hear someone whisper in a noisy crowd. ADVISE built smarter ultrasonic tools that adapt to the metal's internal structure in real time, so inspectors can see defects much deeper — going from about 70 mm to 85 mm into tough nuclear-grade steel castings. They also created software that filters out the "noise" from the metal grain, giving inspectors clearer pictures and more confidence in their safety decisions.
Nuclear plant operators and NDT service providers face a serious blind spot: conventional ultrasonic inspection cannot reliably detect defects in coarse-grained metal components like austeno-ferritic steel castings. This forces operators to apply overly conservative safety margins, leading to premature component replacements and costly downtime. The inability to inspect deeper than current limits creates uncertainty about structural integrity, especially in ageing plants approaching end of life.
The project delivered first-generation optimised transducer designs for inspecting coarse-grained flat plate structures, along with enhanced imaging algorithms whose performance was experimentally quantified on laboratory scale samples. Additional outputs include model-assisted inspection tools, in-situ characterisation techniques, and adaptive imaging methods using full matrix capture data — 15 deliverables in total.
If you are a nuclear utility managing ageing reactor components — this project developed adaptive ultrasonic inspection tools that increase inspectable depth from 70 to 85 mm in austeno-ferritic cast components. That means fewer blind spots during in-service inspections, less conservative safety margins, and potentially extended component lifetimes without costly replacements.
If you are an NDT company struggling with unreliable results on coarse-grained metal structures — ADVISE produced optimised transducer designs and enhanced imaging algorithms specifically for complex microstructures. These tools let you offer higher-confidence inspection reports, winning contracts where competitors cannot guarantee detection accuracy.
If you manufacture large cast steel parts for power plants or petrochemical facilities — the in-situ characterisation techniques from this project let you verify internal quality without destructive testing. The model-assisted diagnostic tools exploit full matrix capture data to detect and characterise defects that conventional ultrasound misses in coarse-grained materials.
The project received EUR 4,168,855 in EU funding across 13 partners over roughly 4.5 years. Based on available project data, specific licensing or per-unit costs are not disclosed. Expect R&D integration costs typical of specialised NDT equipment — likely requiring partnership with one of the consortium members for technology transfer.
The experimental programme was completed and reported on laboratory scale samples ranging from simple to complex geometries. The project specifically designed in-situ characterisation techniques for field use, and the Industrial Advisory Board was set up to ensure rapid deployment. However, full industrial-scale validation data is not detailed in available deliverables.
The consortium of 13 partners across 6 countries jointly developed the technology, coordinated by Electricité de France. IP arrangements would follow the Horizon 2020 grant agreement terms. Contact the coordinator for specific licensing discussions around the transducer designs and imaging algorithms.
The project addresses both Western European and Russian reactor designs, covering new construction, maintenance of ageing stations, and end-of-life operation. The tools are designed to reduce the conservatism currently needed in safety decisions. Regulatory qualification would depend on national nuclear safety authorities.
The project ran from September 2017 to February 2022 and is now closed. First-generation optimised transducer designs were delivered, and algorithm performance was quantified. Deployment readiness depends on further industrial validation beyond laboratory scale.
The technology builds on full matrix capture (FMC) acquisition, which is a capability available in modern phased array ultrasonic systems. The model-assisted tools are designed to fine-tune inspection parameters in the field, suggesting compatibility with existing FMC-capable hardware.
The 13-partner consortium across 6 countries (CZ, DE, FR, HU, LT, UK) is led by Electricité de France — one of the world's largest nuclear operators — which signals strong end-user pull. With 6 industry partners (46% ratio), 4 universities, and 3 research organisations, the project balances practical deployment needs with scientific depth. The mix of Western and Eastern European partners reflects the project's goal of addressing both Western European and Russian reactor designs. Only 1 SME is involved, suggesting the technology targets large-scale industrial adopters rather than small niche players.
Electricité de France (EDF), France — reach out to their R&D or nuclear inspection division
Want an introduction to the ADVISE team? SciTransfer can connect you with the right people at EDF and consortium partners working on advanced ultrasonic inspection.
