MACHINE LEARNING-BASED SELECTIVE INCARNATION OF COMPUTER-AIDED DESIGN OBJECTS

    公开(公告)号:US20220405447A1

    公开(公告)日:2022-12-22

    申请号:US17777525

    申请日:2019-12-05

    IPC分类号: G06F30/27 G06F30/10

    摘要: A computing system may include an instance identification engine configured to determine a selected subset of pattern instances of a programmatic pattern used to represent a geometry of a computer-aided design (CAD) object, including by identifying a CAD operation to perform on the CAD object; determining a sampled point set in the CAD object applicable to the CAD operation; providing the sampled point set as an input to an inversion machine-learning (ML) model trained to output a given pattern instance of the programmatic pattern for an input point of the CAD object; and determining, as the selected subset, an output set of pattern instances provided by the inversion ML model for the sampled point set. The system may also include an object incarnation engine configured to incarnate a geometry of the selected subset of pattern instances to perform the CAD operation on the CAD object.

    SYSTEMS AND METHOD FOR PROCESSING TOPOLOGY OPTIMIZED GEOMETRIES

    公开(公告)号:US20220284153A1

    公开(公告)日:2022-09-08

    申请号:US17632481

    申请日:2019-08-28

    IPC分类号: G06F30/20 G06F30/10

    摘要: A computing system may include a geometry access engine configured to access geometries associated with a topology optimization process, including an original geometry that represents a design space upon which the topology optimization process applies to as well as a topology optimized geometry that represents an output of the topology optimization process performed for the original geometry. The system may also include geometry processing engine configured to generate a final geometry from the topology optimized geometry, including by conforming the topology optimized geometry to the original geometry at portions of the topology optimized geometry that correspond to fixed regions of the original geometry as well as smoothing the topology optimized geometry at portions that correspond to non-fixed regions of the original geometry.

    SPATIAL DECOMPOSITION-BASED REPAIR OF DEFECTS IN BOUNDARY REPRESENTATIONS

    公开(公告)号:US20210035361A1

    公开(公告)日:2021-02-04

    申请号:US16527674

    申请日:2019-07-31

    发明人: Hiren Dedhia

    IPC分类号: G06T17/20

    摘要: A computing system may include a mesh access engine and a mesh repair engine. The mesh access engine may be configured to access a boundary representation of an object design, the boundary representation including a defect. The mesh repair engine may be configured to repair the boundary representation, including by converting the boundary representation into a spatial decomposition representation of the object design and converting the spatial decomposition representation of the object design back into a boundary representation form to obtain a repaired boundary representation of the object design.

    Spatial decomposition-based repair of defects in boundary representations

    公开(公告)号:US10984592B2

    公开(公告)日:2021-04-20

    申请号:US16527674

    申请日:2019-07-31

    发明人: Hiren Dedhia

    IPC分类号: G06T17/20

    摘要: A computing system may include a mesh access engine and a mesh repair engine. The mesh access engine may be configured to access a boundary representation of an object design, the boundary representation including a defect. The mesh repair engine may be configured to repair the boundary representation, including by converting the boundary representation into a spatial decomposition representation of the object design and converting the spatial decomposition representation of the object design back into a boundary representation form to obtain a repaired boundary representation of the object design.