XVoxel-Based Parametric Design Optimization of Feature Models

Parametric optimization is an important product design technique, especially in the context of modern parametric feature-based CAD paradigm. Realizing its full potential, however, requires a closed loop between and CAE (i.e., seamless CAD/CAE integration) with automatic modifications simulation updates. Conventionally approach model conversion often employed to form loop, but this way working hard automate manual inputs. As result, overall process too laborious be acceptable. To address issue, new method for introduced paper, based on unified representation scheme called eXtended Voxels (XVoxels). This hybridizes feature models voxel into concept semantic voxels, where part responsible FEM solving, high-level information capture both intents. such, it can establish direct mapping analysis models, which turn enables updates results modifications, vice versa—effectively CAE. In addition, robust efficient geometric algorithms manipulating XVoxel numerical methods (based recent finite cell method) simulating are provided. The presented has been validated by series case studies increasing complexity demonstrate effectiveness. particular, computational efficiency improvement up 55.8 times existing FCM seen.