Developed by researchers at UNIST, the smart component system provides remote surveillance of small nuclear reactors.
At a time of increasing demand for sustainable electricity across the world, scientists are focusing to develop small nuclear reactor s. To make innovations safer, researchers have turned to a new technology powered by AI that can detect potential hazards in these reactors in seconds.
Developed by researchers at UNIST, the system includes embedded optical fiber sensors to monitor components and send alerts during abnormal conditions.that combines 3D printing with AI, enabling the rapid processing of multiple continuous variables from optical fiber sensors. The team successfully manufactured smartA small nuclear reactor is a microreactor, a compact reactors that will be small enough to transport by truck and could help solve energy challenges in a number of areas.
“The embedded optical fiber generates real-time data that allows for AI-driven in-vivo thermal deformation analysis. Our smart MR component can detect structural anomalies, identify abnormal operations, and assess operational conditions through augmented reality interfaces and AI technology,” said researchers in the study.
“We introduced a novel method for producing smart micro reactor components by embedding optical fiber sensors during the directed energy deposition process. This method includes an optimised DED process for metal components of MR systems,” said researchers in the study.
Artificial Intelligence Nuclear Nuclear Reactor Small Modular Reactor
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