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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References
Hasan, B., Wikander, J.: Features extraction from CAD as a basis for assembly process planning, In: DoCEIS, pp. 144–153 (2017)
Neb, A.: From 3D product data to hybrid assembly workplace generation using the Automation ML exchange file format (2019). https://doi.org/10.1016/j.procir.2019.03.011
Saniuk, S.: Personalization of products in the Industry 4.0 concept and Its impact on achieving a higher level of sustainable consumption. Energies 13(22), 5895 (2020). https://doi.org/10.3390/en13225895.
Piegl, L., Tiller, W.: The NURBS Book, Springer Science & Business Media, Berlin (1997). https://doi.org/10.1007/978-3-642-97385-7
Tangelder, A.: Survey of content based 3D shape retrieval methods. Multimedia Tools Appl. 39(3), 441–471 (2008). https://doi.org/10.1007/s11042-007-0181-0
Hasan, B.: Product Feature Modelling for Integrating Product Design and Assembly Process Planning, In: IJENS, vol.4 (10), (2017).
Hasan, B., Wikander, J.: A review on utilizing ontological approaches in integrating assembly design and assembly process planning (APP). Int. J. Mech. Eng. 4(11), 5–16 (2017)
Costa, C.M.C.: Automatic generation of disassembly sequences and exploded views from solidworks symbolic geometric relationships. In: 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) (2018)
Merlhiot, X.: XDE Physics: https://www.researchgate.net/project/XDE-Physics-multibody-dynamics-with-intermittent-contacts-and-flexible-bodies. Accessed 24 July 2021
Spezialetti, R., Salti, S.: Performance evaluation of 3D descriptors paired with learned keypoint detectors. AI 2, 229–243 (2021). https://doi.org/10.3390/ai2020014
Liu, Z., Tan, J.: Constrained behavior manipulation for interactive assembly in a virtual environment. Adv. Manuf. Technol. 32, 797–810 (2007)
Bourdot, P.: VR–CAD integration: multimodal immersive interaction and advanced haptic paradigms for implicit edition of CAD models (2008)
Hasan, B., Wikander, J.: Assembly design semantic recognition using solidworks-API. Int. J. Mech. Eng. Robot. Res. 5(4), 280–287 (2016)
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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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