Reinforcement learning for block decomposition of planar CAD models
Benjamin C. DiPrete,
Rao Garimella,
Cristina Garcia Cardona
et al.
Abstract:The problem of hexahedral mesh generation of general CAD models has vexed researchers for over 3 decades and analysts often spend more than 50% of the design-analysis cycle time decomposing complex models into simpler blocks meshable by existing techniques. The decomposed blocks are required for generating good quality meshes (tilings of quadrilaterals or hexahedra) suitable for numerical simulations of physical systems governed by conservation laws. We present a novel AI-assisted method for decomposing (segme… Show more
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