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Extraction of generative processes from B-Rep shapes and application to idealization transformations
- Source :
- Computer Aided Design; Computer Aided Design, Elsevier, 2014, 2013 SIAM Conference on Geometric and Physical Modeling, 46, pp.79-89. <10.1016/j.cad.2013.08.020>
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Abstract
- International audience<br />A construction tree is a set of shape generation processes commonly produced with CAD modelers during a design process of B-Rep objects. However, a construction tree does not bring all the desired properties in many configurations: dimension modifications, idealization processes, etc. Generating a non trivial set of generative processes, possibly forming a construction graph, can significantly improve the adequacy of some of these generative processes to meet user's application needs. This paper proposes to extract generative processes from a given B-rep shape as a high-level shape description. To evaluate the usefulness of this description, finite element analyses (FEA) and particularly idealizations are the applications selected to evaluate the adequacy of additive generative processes. Non trivial construction trees containing generic extrusion and revolution primitives behave like well established CSG trees. Advantageously, the proposed approach is primitive-based, which ensures that any generative process of the construction graph does preserve the realizability of the corresponding volume. In the context of FEA, connections between idealized primitives of a construction graph can be efficiently performed using their interfaces. Consequently, generative processes of a construction graph become a high-level object structure that can be tailored to idealizations of primitives and robust connections between them.
Details
- Database :
- OAIster
- Journal :
- Computer Aided Design; Computer Aided Design, Elsevier, 2014, 2013 SIAM Conference on Geometric and Physical Modeling, 46, pp.79-89. <10.1016/j.cad.2013.08.020>
- Notes :
- Computer Aided Design, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.ocn899959827
- Document Type :
- Electronic Resource