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Surface shape-based clustering for B-rep models

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Abstract

Matching, clustering, and retrieving 3D CAD models of mechanical components based on their shape are useful for many CAD/CAM applications such as design reuse, variant process planning and group technology. Surfaces are the prominent elements of the B-Rep (Boundary Representation) CAD model, but the current methods of similarity assessment are not centered on the surfaces and lack an accurate description of their geometric features. In order to solve the problem of retrieval and clustering of B-Rep models more efficiently, the concept of “most crucial surface” is proposed and its corresponding characteristics are studied in detail. The contribution of our approach is that surfaces are the major shape determinants of the B-Rep model, and the distribution of Carosati curvatures is the optimum shape features of surfaces. First, the surface elements are extracted from the STEP (Standard for Exchange of Product Model) files of the B-rep models, and the distribution of minimum, Gauss and Carosati surface curvatures are converted into the shape feature space by the wavelet transform, the Fourier transform, and the grouping calculation. Thus we characterize the B-Rep model as a histogram with surfaces as bins, and then compare and cluster the B-Rep models by the bipartite matching algorithm or the earth mover’s distance. The surface-based methods are evaluated with the four effectiveness indices in the clustering experiment of the NDR (National Design Reservoir) data, and the results indicated that the grouping method for the surface Carosati curvatures has a highly competent matching and clustering performance.

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Acknowledgements

This work was supported by The National Natural Science Foundation of China (61472233), The Natural Science Foundation of Shandong Province (ZR2014FM018).

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  1. College of Information Science and Engineering, Shandong Normal University, No. 1 Daxue Road, Jinan, 250014, China

    Jihua Wang, Wei Yan & Chao Huang

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  1. Jihua Wang
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  2. Wei Yan
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  3. Chao Huang
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Correspondence to Wei Yan.

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Wang, J., Yan, W. & Huang, C. Surface shape-based clustering for B-rep models. Multimed Tools Appl 79, 25747–25761 (2020). https://doi.org/10.1007/s11042-020-09252-3

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