Computer aided design (CAD) models are the starting point for many downstream applications such as mesh generation, structural/fluid/thermal analysis, rapid prototyping, numerical controlled machining, casting, computer graphics. Each of these downstream applications are strongly dependent on the accuracy and consistency of the input geometry, but due to numerical problems, imprecise design, software idiosyncrasies, or data exchange issues, the surface patches produced at the CAD step may abut within unpredictable tolerances, resulting in gaps, cracks, holes, overlaps, T-connections, invalid topology and inconsistent orientation which resulted in elusive automatic grid generation. In this paper, an automatic CAD processing tool based on a powerful software development platform (Open CASCADE Technology) is presented to reduce the amount of time and cost associated with cleaning/repairing CAD geometric data for grid generation. Geometries are read from IGES file format, and translated to an internal representation for processing (shape fix followed by sewing) and finally exported in STL, STEP and IGES file formats. The tool automatically detects and heals commonly found geometrical and topological errors. As the main target is automatically repairing CAD data format errors prior to mesh generation, many test cases are performed for different kind of geometries to check the algorithm consistency and robustness. Different CAD inconsistencies are considered to check the accuracy and efficiency of the tool. It is shown that improvement in terms of time and cost can be achieved.
This paper presents an automatic ship hull form CAD data repairing and domain preparing tool. The tool is capable to repair commonly found geometrical and topological inconsistencies in and between parametric and triangulated surfaces. Parametric surfaces are read from initial graphics exchange specification (IGES) file format and triangulated surfaces are read from standard tessellated language (STL) file format. Based on the repaired hull form parametric surfaces, automatic domain preparation strategies are implemented for mesh generators such as Numeca HEXPRESS and Open FOAMs SnappyHexMesh. Region identification method is developed to divide the hull form into different regions and export the repaired and consistent geometry in coloured STL file format. The repair, domain preparation, and region identification algorithms are tested against several ship hull form representations to evaluate the tool robustness. The results achieved reveal that the developed tool substantially decreases the time, and therefore cost, required for CAD data repairing and domain preparation for downstream application.
This paper presents an automatic ship hull form CAD data repairing and domain preparing tool. The tool is capable to repair commonly found geometrical and topological inconsistencies in and between parametric and triangulated surfaces. Parametric surfaces are read from initial graphics exchange specification (IGES) file format and triangulated surfaces are read from standard tessellated language (STL) file format. Based on the repaired hull form parametric surfaces, automatic domain preparation strategies are implemented for mesh generators such as Numeca HEXPRESS and Open FOAMs SnappyHexMesh. Region identification method is developed to divide the hull form into different regions and export the repaired and consistent geometry in coloured STL file format. The repair, domain preparation, and region identification algorithms are tested against several ship hull form representations to evaluate the tool robustness. The results achieved reveal that the developed tool substantially decreases the time, and therefore cost, required for CAD data repairing and domain preparation for downstream application.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.