TECHNIQUES FOR GENERATIVE DESIGN USING MULTI-DISCIPLINARY OPTIMIZATION

    公开(公告)号:US20250148162A1

    公开(公告)日:2025-05-08

    申请号:US18821981

    申请日:2024-08-30

    Applicant: AUTODESK, INC.

    Abstract: In various embodiments, a generative design application can leverage multi-disciplinary optimization to solve a design problem associated with a 3D model and interdependent design variables. The generative design application includes an optimization engine that can solve the design problem, or portions thereof, by iteratively performing optimization techniques on the interdependent design variables to generate an 3D model that maximizes or minimizes one or more objectives and meets one or more constraints, while simultaneously considering the effect of each interdependency of the design variables. Furthermore, the generative design application can leverage a natural language interface to augment the creation of the design problem for optimization. The generative design application can also leverage free-form deformation during generative design to parameterize a portion of the 3D model as part of the design problem.

    TECHNIQUES FOR GENERATIVE DESIGN USING MULTI-DISCIPLINARY OPTIMIZATION

    公开(公告)号:US20250148161A1

    公开(公告)日:2025-05-08

    申请号:US18821940

    申请日:2024-08-30

    Applicant: AUTODESK, INC.

    Abstract: In various embodiments, a generative design application can leverage multi-disciplinary optimization to solve a design problem associated with a 3D model and interdependent design variables. The generative design application includes an optimization engine that can solve the design problem, or portions thereof, by iteratively performing optimization techniques on the interdependent design variables to generate an 3D model that maximizes or minimizes one or more objectives and meets one or more constraints, while simultaneously considering the effect of each interdependency of the design variables. Furthermore, the generative design application can leverage a natural language interface to augment the creation of the design problem for optimization. The generative design application can also leverage free-form deformation during generative design to parameterize a portion of the 3D model as part of the design problem.

    TECHNIQUES FOR GENERATIVE DESIGN USING MULTI-DISCIPLINARY OPTIMIZATION

    公开(公告)号:US20250148171A1

    公开(公告)日:2025-05-08

    申请号:US18821966

    申请日:2024-08-30

    Applicant: AUTODESK, INC.

    Abstract: In various embodiments, a generative design application can leverage multi-disciplinary optimization to solve a design problem associated with a 3D model and interdependent design variables. The generative design application includes an optimization engine that can solve the design problem, or portions thereof, by iteratively performing optimization techniques on the interdependent design variables to generate an 3D model that maximizes or minimizes one or more objectives and meets one or more constraints, while simultaneously considering the effect of each interdependency of the design variables. Furthermore, the generative design application can leverage a natural language interface to augment the creation of the design problem for optimization. The generative design application can also leverage free-form deformation during generative design to parameterize a portion of the 3D model as part of the design problem.

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