Feature Extraction and Porosity Assessment on Thick Stainless Steel 316 Samples with Embedded Slots.
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Presentation relating to concentrated solar thermal receiver designing
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This report documents the development and deployment of advanced algorithms and tools that enable high-throughput characterization for metal additive manufacturing (AM), with a particular focus on process parameter optimization and material/part qualification for nuclear applications. While the method ologies presented support diverse characterization techniques, the majority of the work is centered on AI-driven algorithms for X-ray computed tomography (XCT) to accelerate defect detection and materials analysis at scale.
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