Reverse engineering and analysing industrial automotive parts can be a challenge, given the complexity of materials used and the need for precision when processing image data. Researchers have used Simpleware ScanIP to overcome these difficulties in a project involving the conversion of CT data of a cylinder head into a high-quality 3D model suitable for inspecting defects and exporting simulation-ready meshes. A particular focus was placed on segmenting valve seats in order to carry out thermal simulation analysis and consider the influence of voids included when casting the aluminium part.
Imaging data of the cylinder head was acquired using an industrial CT scanner at 0.4 mm x 0.4 mm x 0.5 mm resolution, and loaded in ScanIP. Volume rendering, opacity and colour mapping tools were used to visualise and reconstruct the data based on its underlying greyscale values. This led to the detection of small defects/voids in the cast. Further segmentation was carried out to separate valve seats from the cylinder.
To segment the valves from the cylinder head in ScanIP, a combination of different image processing tools was used. Initial thresholding quickly created separate masks of the individual components. Morphological filters were then applied on selected regions of interest (ROI) to clean up the model. Using ScanIP's 3D editing tools, a 3D ROI was created around the valve seats, with the morphological open filter used to remove small areas of noise. These tools enabled a more accurate and clearer multi-part segmentation of the valves from the cylinder head.