SBIR/STTR Research Award

EddyGraph: A Modular, Precision Swept Frequency Eddy Current Based Graphite Inspection System

Award identifier 3d09012031a8fd9fb93c32b764feee13fe61b95cc2838471b156133e52f4ad91Awarding agency Department of Energy

Award amount

$200,000

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
X-Wave Innovations, Inc.
Proposal award date
2025-09-26
Contract end date
2026-09-25
UEI
EDJ3MSJR9NK7
Solicitation number
DE-FOA-0003504
Topic code
C60-29c

Research abstract

The development of advanced inspection technologies for graphite components in High Temperature Gas Reactors (HTGRs) and Molten Salt Reactors (MSRs) is crucial for improving the safety, efficiency, and longevity of next-generation nuclear reactors. Graphite components play vital roles in neutron moderation and structural support but are subject to degradation from molten salt erosion, thermal stress, and surface wear. In-situ, high-resolution nondestructive evaluation (NDE) technologies, such as visual and eddy current systems with up to 500-micron resolution, are essential to assess these components' condition under extreme conditions, ensuring the safe operation and growth of the U.S. nuclear industry. The EddyGraph system aims to address the challenge of efficiently inspecting graphite components in nuclear reactors, particularly in High Temperature Gas-cooled Reactors (HTGRs) and Molten Salt Reactors (MSRs), where traditional methods struggle with complex geometries and harsh environments. The system will consist of multiple specially designed eddy current (EC) sensors housed inside stainless-steel housing integrated into an articulating arm, enabling rapid scanning of the entire fuel channel bore. A machinelearning-based inversion model will be used for the interpretation of eddy current data measured on curved surfaces, capable of identifying and locating the presence of multiple damage mechanisms. First, a high-fidelity finite-element model of a representative HTGR graphite reflector block will be developed which will include typical damages expected in such components. Second, this model will be used to optimize the eddy current coil parameters to ensure sensitivity to typical damage types anticipated. Third, the simulated eddy current data will be used to train a machine-learning model for inversion. Fourth, the forward model along with the machine learning-based inversion model will be used to demonstrate the feasibility of the proposed technique. Fifth, a basic prototype of the proposed system will be developed to demonstrate the capability of the proposed technology on a simple curved graphite block. In phase II, a fully functional prototype with radiation-hardened hardware and related software will be developed and tested on irradiated graphite components. The results will be used to refine the prototype and inversion model. In Phase III, a commercial version of the system will be developed. The proposed technology can also be used for rapid inspection of critical graphite structures in various industries like aerospace, manufacturing, and semiconductors.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

92 SBIR/STTR records share this UEI (2012–2025). Reported award amounts total $30,524,673. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, Department of Commerce, Department of Transportation

Agency intelligence

Department of Energy

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