Abstract
This paper describes a novel approach to generate and model assembly semantic meaning enclosed in product assembly features in order to optimize the preparation time of Virtual Reality simulations. The proposed approach is based on a set of heuristic rules to generate semantic KeyPoints (characterisation of a kinematic link or a mates) used to idealize an assembly model. This study identifies through a disassembly process a number of semantic rules in order to extract and translate assembly semantic features from CAD models. The proposed approach is based on two steps: features extraction and semantic recognition of the assembly features. In the first step, internal boundary representation (B-Rep) and mate extraction methods are used to retrieve the engineering meaning from assembly models using SolidWorks’ API functions. In the second step, a multi-level semantic rules model is used. The approach is demonstrated and validated on a use-case with a disassembly process scenario and adapted to Virtual Reality.
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Pascault, S., Noël, F., Le Garrec, J., Andriot, C., Girard, A. (2021). Automating Generation of Kinematic Keypoints for Disassembly Process Toward Virtual Reality. In: Bourdot, P., Alcañiz Raya, M., Figueroa, P., Interrante, V., Kuhlen, T.W., Reiners, D. (eds) Virtual Reality and Mixed Reality. EuroXR 2021. Lecture Notes in Computer Science(), vol 13105. Springer, Cham. https://doi.org/10.1007/978-3-030-90739-6_9
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DOI: https://doi.org/10.1007/978-3-030-90739-6_9
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