中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

19 records (took 0.019 seconds)

    OPTIMIZATION OF A DESIGN USING A PHYSICS SOLVER INTEGRATED WITH A NEURAL NETWORK
    1.
    发明公开
    OPTIMIZATION OF A DESIGN USING A PHYSICS SOLVER INTEGRATED WITH A NEURAL NETWORK 审中-公开

    公开(公告)号：US20230325561A1

    公开(公告)日：2023-10-12

    申请号：US17714849

    申请日：2022-04-06

    Applicant: PALO ALTO RESEARCH CENTER INCORPORATED

    Inventor： Aaditya Chandrasekhar ,  Amirmassoud Mirzendehdel ,  Morad Behandish

    IPC: G06F30/27 ,  G06F30/23

    CPC classification number: G06F30/27 ,  G06F30/23

    Abstract: A computer-implemented physics solver operates within a neural network framework. A neural network accepts a coordinate for each location within a design domain and outputs a local composition for each location. A model of the design domain is formed in a physics solver. The model includes discrete elements that encompass the design domain. A solution of the model provides a value of a design objective. For a plurality of iterations, the following is performed: the neural network determines current local compositions for the locations in the design domain corresponding to the discrete elements; the current local compositions are input into the discrete elements of the physics solver to obtain a current value of the design objective; and the current value of the design objective is used to find a loss gradient of a loss function. The loss gradient is used to update the neural network during the iterations.

    GENERATING CONSOLIDATED DESIGNS OF A PRODUCTION MODEL TO REPLACE MULTIPLE PARTS OF AN ASSEMBLY
    2.
    发明公开
    GENERATING CONSOLIDATED DESIGNS OF A PRODUCTION MODEL TO REPLACE MULTIPLE PARTS OF AN ASSEMBLY 审中-公开

    公开(公告)号：US20230267243A1

    公开(公告)日：2023-08-24

    申请号：US18172138

    申请日：2023-02-21

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Amirmassoud Mirzendehdel ,  Morad Behandish

    IPC: G06F30/17 ,  G06F30/20

    CPC classification number: G06F30/17 ,  G06F30/20 ,  G06F2111/04

    Abstract: Techniques, devices, and systems for automatically generating consolidated designs of a production model to replace multiple parts of an assembly are disclosed herein. For example, a set of digital models may be originally designed to be separately manufactured and assembled post production. The present disclosure analyzes the set of digital models and computes candidates of consolidated designs that consolidates a subset number of the digital models into a single part to be manufactured. The computation may be based on certain complexity level (e.g., based on manufacturing capability and/or user preference/input). The consolidated designs simplify the manufacturing process by reducing individual parts to be manufactured and the subsequent assembly, as well as improving reliability, improving automation, and reducing manufacturing costs.

    Method and System for Part Design Using Heterogeneous Constraints
    5.
    发明申请
    Method and System for Part Design Using Heterogeneous Constraints 有权

    公开(公告)号：US20210073349A1

    公开(公告)日：2021-03-11

    申请号：US16561633

    申请日：2019-09-05

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Amirmassoud Mirzendehdel ,  Morad Behandish ,  Saigopal Nelaturi

    IPC: G06F17/50

    Abstract: A method of classifying design criteria includes receiving design criteria for a product part. The criteria comprise one or both of performance and manufacturing criteria. The design criteria are sorted into different classes of one or both of one or more objective functions and one or more constraints based on when they can be satisfied or optimized. Constraint violations are determined. A design workflow is produced to generate one or more designs of a part to comply with one or more of satisfying constraints and optimizing objective functions.

    TOPOLOGY OPTIMIZATION WITH LOCALLY DIFFERENTIABLE COMPLEMENT SPACE CONNECTIVITY
    6.
    发明公开
    TOPOLOGY OPTIMIZATION WITH LOCALLY DIFFERENTIABLE COMPLEMENT SPACE CONNECTIVITY 审中-公开

    公开(公告)号：US20240061965A1

    公开(公告)日：2024-02-22

    申请号：US18086048

    申请日：2022-12-21

    Applicant: PALO ALTO RESEARCH CENTER INCORPORATED

    Inventor： Clinton Morris ,  Amirmassoud Mirzendehdel ,  Morad Behandish

    IPC: G06F30/10 ,  G06F30/23

    CPC classification number: G06F30/10 ,  G06F30/23 ,  G06F2111/04

    Abstract: One or more physical constraints are selected from a plurality of physical constraints for a part. The physical constraints are for use by a physics solver and define a physical performance of the part. One or more connectivity constraints are defined for use by the physics solver. The connectivity constraints enforce connectivity to or from at least one region over a complement space of the part. The connectivity constraints include locally differentiable violation measures that are modeled after at least one of the physical constraints. A topology of the part is optimized in the physics solver by enforcing the physical constraints and the connectivity constraints while satisfying a primary objective function that optimizes the physical performance of the part. A computer-aided design of the part is produced based on the optimized topology.

    METHODS AND SYSTEMS OF GEOMETRIC REPRESENTATION GENERATION BASED ON A SYSTEM-LEVEL MODEL
    7.
    发明公开
    METHODS AND SYSTEMS OF GEOMETRIC REPRESENTATION GENERATION BASED ON A SYSTEM-LEVEL MODEL 审中-公开

    公开(公告)号：US20230394191A1

    公开(公告)日：2023-12-07

    申请号：US17831125

    申请日：2022-06-02

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Randi Wang ,  Anurag Bhattacharyya ,  Qian Ye ,  Clinton Morris ,  Amirmassoud Mirzendehdel ,  Morad Behandish

    IPC: G06F30/18

    CPC classification number: G06F30/18 ,  G06F2111/04

    Abstract: This disclosure provides techniques for automatically generating a geometric representation based on a system-level model (e.g., a lumped parameter model, or LPM). The geometric representation may include a three-dimensional (3D) or cross-sectional shape, resulting from topology optimization within a design space automatically generated without human intervention. An example method may include identifying one or more constraints for each of two or more components of an LPM. One or more conditions are generated for the LPM. The one or more conditions are mapped to the one or more constraints. A processing device may generate a design space for a geometric representation to perform functions represented by the LPM. The geometric representation is subject to the generated one or more conditions. The processing device may then perform topology optimization of the geometric representation in the design space to generate an optimized geometry (e.g., a converged and/or final output).

Patent Agency Ranking