CONSTRAINT-ORIENTED PROGRAMMING APPROACH TO MECHANICAL ASSEMBLY DESIGN

    公开(公告)号:US20240273254A1

    公开(公告)日:2024-08-15

    申请号:US18642546

    申请日:2024-04-22

    申请人: AUTODESK, INC.

    摘要: A design engine systematically explores a design space associated with a design problem related to mechanical assemblies. The design engine implements a constraint programming approach to produce mechanical assembly configurations that adhere to a set of design constraints. For each feasible configuration, the design engine then optimizes various parameters to generate design options that meet a set of design objectives. With these techniques, the design space can be explored very quickly to generate significantly more feasible design options for the mechanical assembly than possible with conventional manual approaches. Accordingly, numerous design options can be generated that may otherwise never be produced using those conventional approaches.

    COMBINING ADDITIVE AND CONVENTIONAL MANUFACTURING TECHNIQUES TO IMPROVE MANUFACTURABILITY

    公开(公告)号:US20180299868A1

    公开(公告)日:2018-10-18

    申请号:US15841008

    申请日:2017-12-13

    申请人: AUTODESK, INC.

    IPC分类号: G05B19/4099 B33Y50/00

    摘要: A design engine analyzes a complex polygonal mesh to identify regions of that mesh that can be simplified. The design engine then replaces those identified regions with simplified geometry that is more easily fabricated using traditional techniques. The remaining complex regions of the mesh are fabricated using additive fabrication techniques. The design engine interacts with both a traditional fabrication device and an additive fabrication device to fabricate the simplified and complex regions of the mesh, respectively. In this manner, a hybrid 3D structure is generated that includes both simplified geometry and complex geometry.

    KNOWLEDGE-BASED DESIGN AUTOCOMPLETE RECOMMENDATIONS

    公开(公告)号:US20180089338A1

    公开(公告)日:2018-03-29

    申请号:US15719449

    申请日:2017-09-28

    申请人: AUTODESK, INC.

    IPC分类号: G06F17/50 G06N5/04

    摘要: Embodiments of the invention disclosed herein provide techniques for generating a design autocomplete recommendation. The techniques include determining one or more first components included in a first design. The techniques further include analyzing, via the processor, a plurality of designs included in a database to select a second design that includes one or more second components that correspond to the one or more first components. The techniques further include selecting, via a processor, one or more third components included in the second design that are not included in the first design. The techniques further include causing an autocomplete recommendation that includes the one or more third components to be output.

    ANALYTICS-DRIVEN GLOBAL OPTIMIZATION STRATEGY SELECTION AND REFINEMENT
    5.
    发明申请
    ANALYTICS-DRIVEN GLOBAL OPTIMIZATION STRATEGY SELECTION AND REFINEMENT 审中-公开
    分析 - 驱动全球优化战略选择和改进

    公开(公告)号:US20140149331A1

    公开(公告)日:2014-05-29

    申请号:US14082672

    申请日:2013-11-18

    申请人: AUTODESK, INC.

    发明人: Francesco IORIO

    IPC分类号: G06N5/02

    CPC分类号: G06F17/11 G06Q10/06

    摘要: A centralized optimization engine is configured to receive a problem specification that defines an optimization problem to be solved. The optimization engine classifies the problem specification within a large dataset of previously solved optimization problems. The optimization engine selects one or more solution strategies associated with similar optimization problems, and then executes those solution strategies to solve the optimization problem. Over time, the optimization engine updates the large data set with statistical information that reflects the performance of different solution strategies applied to various optimization problems, thereby increasing the effectiveness with which optimization problems may be solved.

    摘要翻译: 集中优化引擎被配置为接收定义要解决的优化问题的问题规范。 优化引擎将问题规范分类到先前已解决的优化问题的大数据集中。 优化引擎选择与类似优化问题相关的一个或多个解决策略,然后执行这些解决策略来解决优化问题。 随着时间的推移,优化引擎用统计信息更新大数据集,反映了应用于各种优化问题的不同解决策略的性能,从而提高了解决优化问题的有效性。

    HYBRID STRUCTURAL-GEOMETRIC TECHNIQUE FOR PERFORMING DRAPING SIMULATION OF WOVEN FABRIC COMPOSITES

    公开(公告)号:US20190259192A1

    公开(公告)日:2019-08-22

    申请号:US15953351

    申请日:2018-04-13

    申请人: AUTODESK, INC.

    IPC分类号: G06T15/00

    摘要: One embodiment of the present invention sets forth a technique for performing a draping simulation of a fabric that includes obtaining a problem definition that includes a fabric cell size, a spring constant ratio, and a three-dimensional (3D) surface. The technique also includes representing the fabric as a set of fabric cells with dimensions that adhere to the fabric cell size, modeling the fabric cells based on a set of side springs and a set of diagonal springs, and setting a first spring constant of the side springs and a second spring constant of the diagonal springs based on the spring constant ratio. The technique further includes propagating the fabric cells along the 3D surface according to the fabric cell size, the first spring constant, and the second spring constant to generate a result of the draping simulation.

    CONSTRAINT-ORIENTED PROGRAMMING APPROACH TO MECHANICAL ASSEMBLY DESIGN

    公开(公告)号:US20190213300A1

    公开(公告)日:2019-07-11

    申请号:US15866398

    申请日:2018-01-09

    申请人: AUTODESK, INC.

    IPC分类号: G06F17/50

    摘要: A design engine systematically explores a design space associated with a design problem related to mechanical assemblies. The design engine implements a constraint programming approach to produce mechanical assembly configurations that adhere to a set of design constraints. For each feasible configuration, the design engine then optimizes various parameters to generate design options that meet a set of design objectives. With these techniques, the design space can be explored very quickly to generate significantly more feasible design options for the mechanical assembly than possible with conventional manual approaches. Accordingly, numerous design options can be generated that may otherwise never be produced using those conventional approaches.

    TOPOLOGY OPTIMIZATION FOR SUBTRACTIVE MANUFACTURING TECHNIQUES

    公开(公告)号:US20180345647A1

    公开(公告)日:2018-12-06

    申请号:US15996407

    申请日:2018-06-01

    申请人: AUTODESK, INC.

    摘要: Design process that performs geometry synthesis on a 3D model of a product based on a design problem statement and manufacturing constraints associated with a manufacturing machine intended to manufacture the product. The manufacturing constraints may include dimensions for a tool bit, dimensions for a tool head, a set of machining directions of the manufacturing machine, or any combination thereof. For a 5-axis manufacturing machine, the set of machining directions may be determined by a “NormalSearch” algorithm and/or a “HeatSearch” algorithm. The geometry synthesis produces a design solution comprising a final 3D model of the product, whereby each point on the boundary of the final 3D model is determined to be accessible by a tool bit and/or tool head in at least one machining direction of the manufacturing machine. Thus, the design solution for the product is more easily and directly manufacturable by the manufacturing machine.

    IMAGE SELECTION USING AUTOMATICALLY GENERATED SEMANTIC METADATA
    9.
    发明申请
    IMAGE SELECTION USING AUTOMATICALLY GENERATED SEMANTIC METADATA 有权
    使用自动生成的语义元数据进行图像选择

    公开(公告)号:US20140324823A1

    公开(公告)日:2014-10-30

    申请号:US13870864

    申请日:2013-04-25

    申请人: AUTODESK, INC.

    发明人: Francesco IORIO

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30268

    摘要: A computer-implemented method for method for selecting visual subject matter stored in a database includes receiving user input that indicates a first region of a first image that is stored in the database and, based on metadata associated with the first image stored in the database, determining at least one visual feature in the first region of the first image stored in the database. The method further includes, based on metadata associated with other images stored in the database, selecting a second image from the database that includes a visual feature that correlates with the visual feature in the first region of the first image, wherein the metadata associated with the first image stored in the database and the metadata associated with the other images stored in the database include image correlation information received from a remote server device.

    摘要翻译: 一种用于选择存储在数据库中的视觉主题的方法的计算机实现方法,包括接收表示存储在数据库中的第一图像的第一区域的用户输入,并且基于与存储在数据库中的第一图像相关联的元数据, 确定存储在数据库中的第一图像的第一区域中的至少一个视觉特征。 该方法还包括基于与存储在数据库中的其他图像相关联的元数据,从数据库中选择包括与第一图像的第一区域中的视觉特征相关的视觉特征的第二图像,其中与 存储在数据库中的第一图像和与存储在数据库中的其他图像相关联的元数据包括从远程服务器设备接收的图像相关信息。

    GOAL-DRIVEN COMPUTER AIDED DESIGN WORKFLOW
    10.
    发明公开

    公开(公告)号:US20230161921A1

    公开(公告)日:2023-05-25

    申请号:US18158406

    申请日:2023-01-23

    申请人: AUTODESK, INC.

    发明人: Francesco IORIO

    IPC分类号: G06F30/00

    CPC分类号: G06F30/00 G06F2111/20

    摘要: A centralized design engine receives a problem specification from an end-user and classifies that problem specification in a large database of previously received problem specifications. Upon identifying similar problem specifications in the large database, the design engine selects design strategies associated with those similar problem specifications. A given design strategy includes one or more optimization algorithms, one or more geometry kernels, and one or more analysis tools. The design engine executes an optimization algorithm to generate a set of parameters that reflect geometry. The design engine then executes a geometry kernel to generate geometry that reflects those parameters, and generates analysis results for each geometry. The optimization algorithms may then improve the generated geometries based on the analysis results in an iterative fashion. When suitable geometries are discovered, the design engine displays the geometries to the end-user, along with the analysis results.