3D localisation and visualisation of cracks
Microtomography enables the non-destructive detection and 3D visualization of…
Detect and classify porosity, shrinkage cavities, inclusions and cracks in light-alloy castings.
X-ray computed tomography (CT) provides fully volumetric, non-destructive inspection of cast components. However, their localisation, characterisation and classification remain time-consuming and operator-dependent.
LOGITOM-Cast combines automation and proprietary AI tools:
By integrating advanced defect segmentation algorithms with automated compliance analysis and a new semi-automated annotation workflow, LOGITOM-Cast offers a comprehensive solution that reduces manual workload and increases the reliability of CT-based quality evaluation.
Inspection criteria and reject thresholds are configurable by the user. Performance is comparable with experienced CT inspectors while reducing operator-to-operator variability
Automated analysis currently enables CT scans to be processed significantly faster than manual inspection workflows, and with at least the same level of reliability.
The tedious tasks of image segmentation and labelling required to create training data (to train algorithms) are semi-automated thanks to a dedicated module developed by Novitom.
Designed for high-throughput inspection of safety-critical aluminium castings used in automotive and aerospace applications:
For ease of use, it is strongly recommended that the following features are available:
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The development of the algorithms used in LOGITOM-cast was supported by the Auvergne-Rhône-Alpes region as part of an ‘R&D Booster’ funding scheme. We would like to thank the project’s academic and industrial partners: INSA Lyon, CETIM, SAB group, Ucelia, Eurocast
