Abstract
X-ray computed tomography is one of the most promising measurement techniques for the dimensional evaluation of industrial components. However, the inherent complexity of this technology also involves important challenges. One of them is to develop surface determination algorithms capable of providing measurement results with better accuracy in any situation—for example, for single and multi-material parts, inner and outer geometries, with and without image artefacts, etc.—and reducing user influence. The surface determination is particularly complex in the case of multi-material parts, especially when they are separated by small air gaps. In previous works, two gradient-based algorithms were presented, that showed less measurement variability throughout the whole part, and reduced the computational cost and operator influence compared to threshold-based algorithms. This work focuses on the evaluation of the performance of these algorithms when used in a scenario so complex that parts of it are made of one or more materials (metal–metal and polymer–metal) with gaps inside. For this purpose, a set of multi-material reference standards is used. The presented gradient-based algorithms show measurement errors comparable to commercial threshold-based algorithms, but with the capability of obtaining accurate measurements in smaller gaps, apart from reducing the user influence on the measurement process.
Highlights
X-ray computed tomography (CT) is a non-destructive testing (NDT) technique increasingly used for the dimensional evaluation of industrial components, mainly due to its ability to acquire, in combination with proper post-processing, geometrical information on both internal and external geometries simultaneously in a single scan and in a non-destructive way
Canny and and Deriche gradient-based algorithms algorithms to to detect detect the the gap when its width is around voxel size, the uncertainty of measurements performed gap when its width is around voxel size, the uncertainty of CT measurements performed along along the the wedge wedge air air gap gap of of the the Al/Ti
This work was focused on the evaluation of the results obtained using two gradient-based surface determination algorithms, Canny-based and Deriche-based algorithms, in single and multi-material gaps measured by X-ray CT
Summary
X-ray computed tomography (CT) is a non-destructive testing (NDT) technique increasingly used for the dimensional evaluation of industrial components, mainly due to its ability to acquire, in combination with proper post-processing, geometrical information on both internal and external geometries simultaneously in a single scan and in a non-destructive way. The inherent complexity of this technology involves important challenges that the scientific community is trying to solve with the numerous studies carried out in recent years. One of these challenges in industrial X-ray CT metrology is the surface determination of the studied part [1].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
