Year: 2023
Type: article
Abstract: Large Computer-Aided Design (CAD) projects usually require collaboration across many different CAD systems as well as applications that interoperate with them for manufacturing, visualization, or simulation. A fundamental barrier to such collaborations is the ability to refer to parts of the geometry (such as a specific face) robustly under geometric and/or topological changes to the model. Persistent referencing schemes are a fundamental aspect of most CAD tools, but models that are shared across systems cannot generally make use of these internal referencing mechanisms, creating a challenge for collaboration. In this work, we address this issue by developing a novel learning-based algorithm that can automatically find correspondences between two CAD models using the standard representation used for sharing models across CAD systems: the Boundary-Representation (B-rep). Because our method works directly on B-reps it can be generalized across different CAD applications enabling collaboration.
Source: ACM Transactions on Graphics
DOI: 10.1145/3592125
Institutions: University of Washington, PTC (United States)
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Funder: National Science Foundation
Awards: Collaborative Research: FMitF: Track I: End-usser Programming for CAD Systems via Language Design and Synthesis, G7860960868, Collaborative Research: HCC: Medium: Co-Design of Shape and Fabrication Plans for Direct-Ink Write Printing Through Predictive Simulation, FMitF: Track I: Retargetable, Verifiable, Optimizable Computer-Aided Manufacturing
OpenAlex ID: W4379964926