The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology

Due to the merit of establishing volumetric data, X-ray computed tomography (XCT) is increasingly used as a non-destructive evaluation technique in quality control advanced manufactured parts with complex non-line-of-sight features. However, cost measurement time and data storage hampers adoption production lines. Commercial fast XCT utilises detectors detection capability, which can be expensive results large amount data. This paper discussed different approach, where was realised via acquisition small number projection images instead full images. An established total variation (TV) algorithm handle reconstruction. The investigates feasibility using TV handling significantly reduced for allows reduction from fifty-two minutes one minute typical industrial system. It also enables size proportionally. A test strategy including both quantitative qualitative metrics considered evaluate effectiveness reconstruction algorithm. includes signal noise ratio contrast ratio. reference samples internal external geometries. Simulation were assessment considering various influence factors, such source property instrument noise. demonstrated possibility algorithms measurements limited dimensional measurements.