Design of a deep learning visual system for the thickness measurement of each coating layer of TRISO-coated fuel particles

Measurement(2022)

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摘要
•A complete set of automatic microscopic imaging equipment is designed.•An automatic image acquisition method is proposed for the coated fuel particle.•An accurate thickness measurement method is proposed based on the designed DCNNs.•A tracing method is proposed to enhance the reliability and consistency.
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关键词
Coating layer,High-temperature gas-cooled reactors,Intelligent visual system,Thickness measurement,TRISO-coated fuel particles
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