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3 October 2022 A real-time porosity mapping solution for synchrotron micro-CT of large 3D printed parts (Conference Presentation)
Aniket Tekawade, Viktor Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Francesco De Carlo, Rajkumar Kettimuthu, Ian Foster
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Proceedings Volume 12242, Developments in X-Ray Tomography XIV; 122420U (2022) https://doi.org/10.1117/12.2633332
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States
Abstract
Applications of X-ray computed tomography (CT) for porosity characterization of engineering materials often involve an extended data analysis workflow that includes CT reconstruction of raw projection data, binarization, labeling and mesh extraction. It is often desirable to map the porosity in larger samples but the computational challenge of reducing gigabytes of raw data to porosity information poses a critical bottleneck. In this work, we describe algorithms and implementation of an end-to-end porosity mapping code "Tomo2Mesh" that processes raw projection data from a synchrotron CT instrument into a porosity measurement and visualization within minutes on a single high-performance workstation equipped with GPU.
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Aniket Tekawade, Viktor Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Francesco De Carlo, Rajkumar Kettimuthu, and Ian Foster "A real-time porosity mapping solution for synchrotron micro-CT of large 3D printed parts (Conference Presentation)", Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122420U (3 October 2022); https://doi.org/10.1117/12.2633332
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KEYWORDS
3D metrology
Metrology
Synchrotrons
Metals
Reconstruction algorithms
Detection and tracking algorithms
Evolutionary algorithms
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