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    Goal-driven computer aided design workflow
    1.
    发明授权
    Goal-driven computer aided design workflow 有权

    公开(公告)号：US10747913B2

    公开(公告)日：2020-08-18

    申请号：US15635149

    申请日：2017-06-27

    Applicant: AUTODESK, INC.

    Inventor： Francesco Iorio

    IPC: G06F30/00 ,  G06F111/20 ,  G06F30/12 ,  G06F30/13

    Abstract: 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.

    DEEP-LEARNING BASED FUNCTIONAL CORRELATION OF VOLUMETRIC DESIGNS
    2.
    发明申请
    DEEP-LEARNING BASED FUNCTIONAL CORRELATION OF VOLUMETRIC DESIGNS 审中-公开

    公开(公告)号：US20190278875A1

    公开(公告)日：2019-09-12

    申请号：US16424318

    申请日：2019-05-28

    Applicant: Autodesk, Inc.

    Inventor： Francesco Iorio

    IPC: G06F17/50 ,  G06N5/02 ,  G06N3/08 ,  G06N3/04

    Abstract: A design application receives an exemplary design from an end-user having one or more functional attributes relevant to solving a design problem. The design application then generates a set of labels that describes the functional attributes of the exemplary design. Based on the set of labels, the design application explores a functional space to retrieve one or more system classes having functionally descriptive labels that are similar to the set of labels generated for the exemplary design. The one or more system classes include different approaches to solving the design problem, and represent systems having at least some functional attributes in common with the exemplary design.

    Multi-material three dimensional models
    3.
    发明授权
    Multi-material three dimensional models 有权

    公开(公告)号：US10307963B2

    公开(公告)日：2019-06-04

    申请号：US16114711

    申请日：2018-08-28

    Applicant: Autodesk, Inc.

    Inventor： Francesco Iorio ,  Nigel Jed Wesley Morris ,  Adrian Adam Thomas Butscher ,  Massimiliano Moruzzi

    IPC: B29C67/00 ,  B29C64/386 ,  B29C64/393 ,  G05B19/4099 ,  B33Y50/02

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, facilitate creation and use of multi-material three dimensional models. In one aspect, a system includes one or more computer storage media having instructions stored thereon; and one or more data processing apparatus configured to execute the instructions to perform operations including (i) receiving input specifying different material properties of an object to be manufactured, (ii) generating from the input a three dimensional (3D) model of the object using overlapping volume representations of the different material properties of the object, wherein the overlapping volume representations employ different data formats and different resolutions, and (iii) storing the 3D model of the object for use in manufacturing the object.

    Deep-learning based functional correlation of volumetric designs
    4.
    发明授权
    Deep-learning based functional correlation of volumetric designs 有权

    公开(公告)号：US10303811B2

    公开(公告)日：2019-05-28

    申请号：US15158501

    申请日：2016-05-18

    Applicant: Autodesk, Inc.

    Inventor： Francesco Iorio

    IPC: G06F17/50 ,  G06N3/08

    Abstract: A design application receives an exemplary design from an end-user having one or more functional attributes relevant to solving a design problem. The design application then generates a set of labels that describes the functional attributes of the exemplary design. Based on the set of labels, the design application explores a functional space to retrieve one or more system classes having functionally descriptive labels that are similar to the set of labels generated for the exemplary design. The one or more system classes include different approaches to solving the design problem, and represent systems having at least some functional attributes in common with the exemplary design.

    MULTI-MATERIAL THREE DIMENSIONAL MODELS
    5.
    发明申请
    MULTI-MATERIAL THREE DIMENSIONAL MODELS 审中-公开

    公开(公告)号：US20190030816A1

    公开(公告)日：2019-01-31

    申请号：US16114711

    申请日：2018-08-28

    Applicant: Autodesk, Inc.

    Inventor： Francesco Iorio ,  Nigel Jed Wesley Morris ,  Adrian Adam Thomas Butscher ,  Massimiliano Moruzzi

    IPC: B29C64/386 ,  B29C64/393

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, facilitate creation and use of multi-material three dimensional models. In one aspect, a system includes one or more computer storage media having instructions stored thereon; and one or more data processing apparatus configured to execute the instructions to perform operations including (i) receiving input specifying different material properties of an object to be manufactured, (ii) generating from the input a three dimensional (3D) model of the object using overlapping volume representations of the different material properties of the object, wherein the overlapping volume representations employ different data formats and different resolutions, and (iii) storing the 3D model of the object for use in manufacturing the object.

    TECHNIQUES FOR WARM STARTING FINITE ELEMENT ANALYSES WITH DEEP NEURAL NETWORKS
    6.
    发明申请
    TECHNIQUES FOR WARM STARTING FINITE ELEMENT ANALYSES WITH DEEP NEURAL NETWORKS 审中-公开
    有限元分析技术与深层神经网络分析

    公开(公告)号：US20170032068A1

    公开(公告)日：2017-02-02

    申请号：US15158491

    申请日：2016-05-18

    Applicant: Autodesk, Inc.

    Inventor： Francesco Iorio

    IPC: G06F17/50 ,  G06N99/00 ,  G06N3/08

    CPC classification number: G06F17/5018 ,  G06F2217/16 ,  G06N3/08 ,  G06N20/00

    Abstract: A simulation application receives simulation parameters associated with a simulation to be generated. The simulation parameters include geometry associated with the simulation and corresponding boundary conditions. The simulation engine processes the simulation parameters and then, using a neural network, generates a solution estimate. Based on the estimated solution, the simulation engine then executes a finite element analysis solver using the solution estimate as a starting point. The FEA solver iterates until a converged solution is reached. The converged solution is then provided to the end-user.

    Abstract translation: 仿真应用程序接收与要生成的仿真相关联的仿真参数。 模拟参数包括与仿真相关的几何形状和相应的边界条件。 仿真引擎处理仿真参数，然后使用神经网络生成解估计。 基于估计的解决方案，仿真引擎使用解决方案估计作为起点执行有限元分析求解器。 FEA求解器迭代直到达到收敛解。 然后将融合解决方案提供给最终用户。

    SYSTEM-LEVEL APPROACH TO GOAL-DRIVEN DESIGN
    7.
    发明申请
    SYSTEM-LEVEL APPROACH TO GOAL-DRIVEN DESIGN 审中-公开
    系统级方法的目标设计

    公开(公告)号：US20170024493A1

    公开(公告)日：2017-01-26

    申请号：US15215520

    申请日：2016-07-20

    Applicant: Autodesk, Inc.

    Inventor： Hyunmin Cheong ,  Wei Li ,  Francesco Iorio

    IPC: G06F17/50 ,  G06F17/30

    Abstract: A design application is configured to perform a system-level optimization of a collection of system components. The design application iteratively executes a multi-objective solver to optimize structural and functional relationships between the system components in order to meet global design criteria and generate a system design. The design application initializes the design process by extracting from a knowledge base system templates having taxonomic, structural, or functional attributes relevant to the system design. The design application generates the knowledge base by mining taxonomic, structural, and functional relationships from a corpus of engineering texts.

    Abstract translation: 设计应用程序被配置为执行系统组件集合的系统级优化。 设计应用程序迭代地执行多目标求解器以优化系统组件之间的结构和功能关系，以满足全局设计标准并生成系统设计。 设计应用程序通过从具有与系统设计相关的分类，结构或功能属性的知识库系统模板中提取初始化设计过程。 设计应用通过从工程文本语料库挖掘分类学，结构和功能关系来生成知识库。

    Efficient sensitivity analysis for generative parametric design of dynamic mechanical assemblies
    8.
    发明授权
    Efficient sensitivity analysis for generative parametric design of dynamic mechanical assemblies 有权

    公开(公告)号：US11620418B2

    公开(公告)日：2023-04-04

    申请号：US15924138

    申请日：2018-03-16

    Applicant: AUTODESK, INC.

    Inventor： Mehran Ebrahimi ,  Adrian Butscher ,  Hyunmin Cheong ,  Francesco Iorio

    IPC: G06F111/10 ,  G06F30/17

    Abstract: A design engine generates a configuration option that includes a specific arrangement of interconnected mechanical elements adhering to one or more design constraints. Each element within a given configuration option is defined by a set of design variables. The design engine implements a parametric optimizer to optimize the set of design variables associated with each configuration option. For a given configuration option, the parametric optimizer discretizes continuous equations governing the physical dynamics of the configuration. The parametric optimizer then determines the gradient of an objective function based on the discretized equations the gradient of objective and constraint functions based on discrete direct differentiation method or discrete adjoint variable method derived directly from the discretized motion equations. Then, the parametric optimizer traverses a design space where the configuration option resides to reduce improve the objective function, thereby optimizing the design variables.

    Deep-learning based functional correlation of volumetric designs
    9.
    发明授权
    Deep-learning based functional correlation of volumetric designs 有权

    公开(公告)号：US10997323B2

    公开(公告)日：2021-05-04

    申请号：US16424318

    申请日：2019-05-28

    Applicant: Autodesk, Inc.

    Inventor： Francesco Iorio

    IPC: G06F17/50 ,  G06F30/00 ,  G06N3/04 ,  G06N3/08 ,  G06N5/02

    Abstract: A design application receives an exemplary design from an end-user having one or more functional attributes relevant to solving a design problem. The design application then generates a set of labels that describes the functional attributes of the exemplary design. Based on the set of labels, the design application explores a functional space to retrieve one or more system classes having functionally descriptive labels that are similar to the set of labels generated for the exemplary design. The one or more system classes include different approaches to solving the design problem, and represent systems having at least some functional attributes in common with the exemplary design.

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