Design Optimization Guided by Discrete Geometrical Pattern Library

    公开(公告)号:US20220405442A1

    公开(公告)日:2022-12-22

    申请号:US17748272

    申请日:2022-05-19

    Abstract: A discrete geometrical pattern library guides a method for design optimization of a finite element model in a computer aided design (CAD) environment. Boundary conditions are applied to the finite element model, design variables for the bounded finite element model are initialized, and an objective function for the finite element model is evaluated. A gradient of the objective function is evaluated with respect to the design variables, an appearance constraint function is evaluated for the finite element model, and a gradient of the appearance constraint function is evaluated with respect to the design variables. The design variables are updated using a mathematical programming, and a convergence in the design optimization is detected, producing a converged design optimization of the finite element model is produced.

    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.

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