Designing a 3D modeled object via orientation optimization

    公开(公告)号:US12061850B2

    公开(公告)日:2024-08-13

    申请号:US17124386

    申请日:2020-12-16

    CPC classification number: G06F30/23 G06F30/10 G06T17/205

    Abstract: A computer-implemented method for designing a 3D modeled object. The 3D modeled object represents a mechanical part formed in a material having an anisotropic behavior with respect to a physical property. The method includes obtaining a 3D finite element mesh and data associated to the 3D finite element mesh. The data associated to the 3D finite element mesh includes a plurality of forces and boundary conditions. The plurality of forces forms multiple load cases. The method further comprises optimizing an orientation field distributed on the 3D finite element mesh with respect to an objective function. The objective function rewards orientation continuity with respect to the physical property. The optimizing is based on the 3D finite element mesh and on the data associated to the 3D finite element mesh. This constitutes an improved method for designing a 3D modeled object.

    Geometrical Dimensionality Control in Optimization

    公开(公告)号:US20210173979A1

    公开(公告)日:2021-06-10

    申请号:US17114577

    申请日:2020-12-08

    Abstract: A computer-implemented method of automatically determining an optimized design for manufacturing a real-world object includes: defining, in memory of a computer-based processor, a finite element model representing a real-world object, the finite element comprising a plurality of elements; evaluating, with the computer-based processor, a distribution of a design variable throughout a vicinity of the finite element model, using singular value decomposition (SVD), to produce a singular value for the design variable in each respective element in the vicinity of the finite element model; defining optimization constraints for the vicinity of the finite element model based on the singular values produced from the SVD; and optimizing the finite element model with respect to the design variable by locally enforcing a geometry of the real-world object in the vicinity based on the defined optimization constraints.

    Geometrical dimensionality control in optimization

    公开(公告)号:US12164846B2

    公开(公告)日:2024-12-10

    申请号:US17114577

    申请日:2020-12-08

    Abstract: A computer-implemented method of automatically determining an optimized design for manufacturing a real-world object includes: defining, in memory of a computer-based processor, a finite element model representing a real-world object, the finite element comprising a plurality of elements; evaluating, with the computer-based processor, a distribution of a design variable throughout a vicinity of the finite element model, using singular value decomposition (SVD), to produce a singular value for the design variable in each respective element in the vicinity of the finite element model; defining optimization constraints for the vicinity of the finite element model based on the singular values produced from the SVD; and optimizing the finite element model with respect to the design variable by locally enforcing a geometry of the real-world object in the vicinity based on the defined optimization constraints.

    Local control of design patterns on surfaces for enhanced physical properties

    公开(公告)号:US10915680B2

    公开(公告)日:2021-02-09

    申请号:US16230130

    申请日:2018-12-21

    Abstract: Embodiments automatically determine optimized designs for manufacturing real-world objects. An embodiment begins with defining a finite element model comprised of a plurality of elements that represents a real-world object. Next, equilibriums and design responses of the object in response boundary conditions are determined, which includes calculating a local volume constraint for a given element of the finite element model. Then, design response sensitivities of the object in response to the boundary conditions are determined, which includes differentiating the calculated local volume constraint to determine sensitivity of a sizing design variable. In turn, the model is iteratively optimized with respect to the sizing design variable using the determined equilibriums and the determined design responses, including the calculated local volume constraint, and the determined design response sensitivities, including the determined sensitivity of the sizing design variable to determine an optimized value of the sizing design variable.

    Analytical consistent sensitivities for external intervening between two sequential equilibriums

    公开(公告)号:US10546076B2

    公开(公告)日:2020-01-28

    申请号:US15392095

    申请日:2016-12-28

    Abstract: Embodiments provide methods and systems for optimizing a physical system. One such example embodiment begins by defining, in memory of a processor, a model comprising a plurality of design variables where the defined model represents a real-world physical system where behavior of the model is given by an equation that includes corresponding sensitivity equations for the plurality of design variables. The example method continues by iteratively optimizing the model with respect to a given design variable of the plurality, using the equation. In an example embodiment, the optimizing includes the processor accounting for a given external intervention event between equilibriums by adding a term for design response sensitivity of the given one of the plurality of design variables to the corresponding sensitivity equation of the given design variable. Such optimizing results in an improved optimization of the real-world physical model.

    ANALYTICAL CONSISTENT SENSITIVITIES FOR EXTERNAL INTERVENING BETWEEN TWO SEQUENTIAL EQUILIBRIUMS

    公开(公告)号:US20180181691A1

    公开(公告)日:2018-06-28

    申请号:US15392095

    申请日:2016-12-28

    CPC classification number: G06F17/5009 G06F17/11 G06F17/5018

    Abstract: Embodiments provide methods and systems for optimizing a physical system. One such example embodiment begins by defining, in memory of a processor, a model comprising a plurality of design variables where the defined model represents a real-world physical system where behavior of the model is given by an equation that includes corresponding sensitivity equations for the plurality of design variables. The example method continues by iteratively optimizing the model with respect to a given design variable of the plurality, using the equation. In an example embodiment, the optimizing includes the processor accounting for a given external intervention event between equilibriums by adding a term for design response sensitivity of the given one of the plurality of design variables to the corresponding sensitivity equation of the given design variable. Such optimizing results in an improved optimization of the real-world physical model.

    SYSTEMS AND METHODS FOR RESOLVING NUMERICAL INSTABILITIES

    公开(公告)号:US20240354470A1

    公开(公告)日:2024-10-24

    申请号:US18641087

    申请日:2024-04-19

    CPC classification number: G06F30/23 G06F2111/10

    Abstract: Embodiments determine physical behavior of real-world objects. Using a computer-based model representing a real-world object, embodiments add pseudo-constitutive modeling to the computer-based model to alleviate local numerical instabilities caused by ill-conditioned elemental stiffness operators within elements of the model. A computer-based model, representing a real-world object using a plurality of elements, is defined which indicates one or more materials represented by the elements. Equations describing physics-based behaviors of the one or more materials are defined. A stabilization equation that is a function of a non-linear deformation gradient matrix is defined. A simulation is performed of the real-world object, subject to a load, using the defined computer-based model, the defined equations describing physics-based behaviors, and the defined stabilization equation. Performing the simulation includes applying the stabilization equation to each of the plurality of elements. Results of performing the simulation indicate the physical behavior of the real-world object.

Patent Agency Ranking