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Item type:Publication, Access status: without files , Toward automated topology optimization : identification of non-design features of CAD models using graph neural networksThis paper presents an automated identification of non-design features of CAD models for topology optimization using learning-based segmentation. The CAD files are taken from a large database of industry-relevant components. Based on the geometry and topology of the components, a graph structure is created and processed by a deep neural network. The results show good match with real cases and can be continuously improved by training with additional data.Publicationtype: Book part21