Industrial X-ray computed tomography (XCT) has gained attention in geometric metrology for its ability to scan objects with diverse internal and external features simultaneously. However, challenges persist in inspection planning and uncertainty assessment within dimensional metrology. To address this, XCT simulation offers a potential solution. While open-source XCT simulation toolkits are commonly used in medical and physical fields, their utilization in industrial geometric metrology remains limited. This study explores the industrial applications of virtual XCT simulation toolkits, focusing on popular open-source options like ASTRA, TIGRE, and gVirtualXray. We analyze configurable input parameters for critical components and summarize potential evaluation metrics for XCT projection image quality.

The X-ray computed tomography simulation in geometric metrology: a review and case study

Huang, Wuzhen;Shao, Huan;Petro', Stefano;Moroni, Giovanni
2024-01-01

Abstract

Industrial X-ray computed tomography (XCT) has gained attention in geometric metrology for its ability to scan objects with diverse internal and external features simultaneously. However, challenges persist in inspection planning and uncertainty assessment within dimensional metrology. To address this, XCT simulation offers a potential solution. While open-source XCT simulation toolkits are commonly used in medical and physical fields, their utilization in industrial geometric metrology remains limited. This study explores the industrial applications of virtual XCT simulation toolkits, focusing on popular open-source options like ASTRA, TIGRE, and gVirtualXray. We analyze configurable input parameters for critical components and summarize potential evaluation metrics for XCT projection image quality.
2024
Proceedings of the 18th CIRP Conference on Computer Aided Tolerancing (CAT2024)
Industry X-ray Computed Tomography, Geometric Metrology, X-ray Computed Tomography Simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1276672
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