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A feature-based method for tire pattern reverse modeling
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DOI：10.1016/j.advengsoft.2018.08.008.png)
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Abstract
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In order to efficiently and effectively convert the tire point cloud to the 3D CAD model, a feature-based reverse modeling method reflecting the design intent of pattern structure is proposed in this paper. The concrete research contents are as follows. Firstly, the 3D scan line point cloud is transformed into the 2D point cloud mapping matrix based on range image. Secondly, the segmentation of the tread point cloud is completed with tread data and groove data separated. Thirdly, the top surface, bottom surface, and pattern boundary information is extracted from the segmented mapping matrix. And then the clustering of transversal patterns is carried out by calculating the similarity in order to repair pattern boundary and reduce human interactions. Finally, on the basis of the extracted parameters of pattern design feature, a semantic feature modeling method orienting at 3D tread pattern model is constructed. On the basis of the above theoretical study, a feature-based reverse modeling system for tire structure design is developed on the CATIA V5 platform by CAA. Test examples show the practicality of the system in tire pattern reverse modeling.
Keywords:
Point cloud
Tire pattern
Reverse engineering
Semantic feature modeling
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