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Article

Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models

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Laboratory of CAD CAM CAE, Universidad EAFIT, Cra 49 no 7-sur-50, 050022 Medellín, Colombia
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Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastian, Spain
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Integration and Engineering Construction Services S.A. de C.V., Av. Eugenio Garza Sada Sur 427, Alta Vista, 64840 Monterrey, Mexico
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Mathematics and Applications Group, Department of Mathematical Sciences, Universidad EAFIT, Cra 49 no 7-sur-50, 050022 Medellín, Colombia
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Author to whom correspondence should be addressed.
Mathematics 2020, 8(8), 1356; https://doi.org/10.3390/math8081356
Received: 6 July 2020 / Revised: 7 August 2020 / Accepted: 11 August 2020 / Published: 13 August 2020
(This article belongs to the Special Issue Modern Geometric Modeling: Theory and Applications)
Feature Recognition (FR) in Computer-aided Design (CAD) models is central for Design and Manufacturing. FR is a problem whose computational burden is intractable (NP-hard), given that its underlying task is the detection of graph isomorphism. Until now, compromises have been reached by only using FACE-based geometric information of prismatic CAD models to prune the search domain. Responding to such shortcomings, this manuscript presents an interactive FR method that more aggressively prunes the search space with reconfigurable geometric tests. Unlike previous approaches, our reconfigurable FR addresses curved EDGEs and FACEs. This reconfigurable approach allows enforcing arbitrary confluent topologic and geometric filters, thus handling an expanded scope. The test sequence is itself a graph (i.e., not a linear or total-order sequence). Unlike the existing methods that are FACE-based, the present one permits combinations of topologies whose dimensions are two (SHELL or FACE), one (LOOP or EDGE), or 0 (VERTEX). This system has been implemented in an industrial environment, using icon graphs for the interactive rule configuration. The industrial instancing allows industry based customization and itis faster when compared to topology-based feature recognition. Future work is required in improving the robustness of search conditions, treating the problem of interacting or nested features, and improving the graphic input interface. View Full-Text
Keywords: Computer-aided Design; Computer-aided Manufacturing; feature recognition; 3D CAD Computer-aided Design; Computer-aided Manufacturing; feature recognition; 3D CAD
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MDPI and ACS Style

Pareja-Corcho, J.; Betancur-Acosta, O.; Posada, J.; Tammaro, A.; Ruiz-Salguero, O.; Cadavid, C. Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models. Mathematics 2020, 8, 1356. https://doi.org/10.3390/math8081356

AMA Style

Pareja-Corcho J, Betancur-Acosta O, Posada J, Tammaro A, Ruiz-Salguero O, Cadavid C. Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models. Mathematics. 2020; 8(8):1356. https://doi.org/10.3390/math8081356

Chicago/Turabian Style

Pareja-Corcho, Juan, Oscar Betancur-Acosta, Jorge Posada, Antonio Tammaro, Oscar Ruiz-Salguero, and Carlos Cadavid. 2020. "Reconfigurable 3D CAD Feature Recognition Supporting Confluent n-Dimensional Topologies and Geometric Filters for Prismatic and Curved Models" Mathematics 8, no. 8: 1356. https://doi.org/10.3390/math8081356

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