Generating CAD models from topology optimization data

    公开(公告)号:US11640485B1

    公开(公告)日:2023-05-02

    申请号:US17069941

    申请日:2020-10-14

    申请人: Ansys, Inc.

    IPC分类号: G06F30/12 G06F30/10 G06T17/20

    摘要: A first computer-aided design (CAD) model to represent a physical object is received that includes a triangle mesh with boundary condition faces. Thereafter, the triangle mesh is smoothed such that the boundary condition faces are maintained. The smoothed triangle mesh is then segmented. As part of such segmenting, a plurality quads are generated. Each of the quads is then fitted with a non-uniform rational basis spline (nurbs) patch. A second CAD model is next generated to represent the physical object which is based on the plurality of quads fitted with nurbs. Related apparatus, systems, techniques and articles are also described.

    Modelling operations on functional structures

    公开(公告)号:US11636395B2

    公开(公告)日:2023-04-25

    申请号:US16922911

    申请日:2020-07-07

    申请人: DASSAULT SYSTEMES

    摘要: The disclosure notably relates to a computer-implemented method for teaching a generative autoencoder. The generative autoencoder is configured to generate functional structures. A functional structure is a data structure representing a mechanical assembly of rigid parts and which includes a tree. Each leaf node represents a shape and positioning of a respective rigid part and a force exerted on the respective rigid part. Each non-leaf node with several children represents a mechanical link between sub-assemblies. Each sub-assembly is represented by a respective one of the several children. Each non-leaf node with a single child represents a duplication of the sub-assembly represented by the single child. The method includes obtaining a dataset including functional structures. The method further comprises teaching the generative autoencoder on the dataset. This constitutes an improved method for teaching a generative autoencoder configured for generating functional structures.

    METHODS FOR MODELLING VARIATIONS OF REPEATING PARTS OF A COMPONENT

    公开(公告)号:US20230110927A1

    公开(公告)日:2023-04-13

    申请号:US17679347

    申请日:2022-02-24

    发明人: Tom De Weer

    IPC分类号: G06F30/10 G06F30/23

    摘要: A computer-implemented method for modelling variations of repeating parts of a component is disclosed herein. The method includes providing parameter sets for part configurations of a plurality of different of parts, wherein the parameters of each parameter set respectively define the part configuration of a part; selecting a selection of the part configurations; providing a part model for each part configuration of the selection, wherein the part model relates forces and displacements to locations of the respective part; and building an approximator, wherein the approximator is provided for interpolating the part models to approximate a part model of a part configuration that does not belong to the selection of the part configurations.

    Fabric softness design and construction method

    公开(公告)号:US11625507B2

    公开(公告)日:2023-04-11

    申请号:US17338939

    申请日:2021-06-04

    摘要: A process for digitally developing a new fabric and for developing a new fabric based on a physical property of the fabric and rather than a fabric construction. The process comprises selecting a desired physical property of the new fabric and selecting a fabric type. The process also includes using a fabric construction calculator to develop fabric construction parameters for the fabric, wherein the fabric has the desired physical property selected. The desired physical property is a selected softness factor of the fabric.

    DESIGN SUPPORT DEVICE, DESIGN SUPPORT SYSTEM, DESIGN SUPPORT METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20230088176A1

    公开(公告)日:2023-03-23

    申请号:US17653211

    申请日:2022-03-02

    发明人: Akihisa SHIMIZU

    IPC分类号: G06F30/10 G06F30/20

    摘要: According to one embodiment, a design support device refers to a database. The database stores a graph structure. The graph structure includes a specification item, a unit item, a first item, and a second item. The unit item is of a unit included in a product. The unit item is associated with the specification item. The first item is tied to a system simulation model and associated with the unit item. The second item is tied to a three-dimensional model and associated with the unit item and the first item. The design support device transmits a first notification to a first processing device when the three-dimensional model is updated. The first processing device is tied to the first item. The design support device transmits a second notification to a second processing device when the system simulation model is updated. The second processing device is tied to the second item.

    SYSTEM FOR PREDICTING MATERIAL PROPERTY VALUE

    公开(公告)号:US20230081583A1

    公开(公告)日:2023-03-16

    申请号:US17920052

    申请日:2021-04-09

    申请人: Hitachi, Ltd.

    IPC分类号: G06F30/27 G06F30/10

    摘要: One or more storage devices store a first machine learning model and a second machine learning model. The one or more processors generate each low-dimensional descriptor including the predetermined number of elements for multiple materials, and predict each characteristic value of the multiple materials from the low-dimensional descriptor. One or more processors select a part of materials from multiple materials based on the characteristic value, and generate a high-dimensional descriptor having the number of elements larger than the predetermined number. One or more processors predict each characteristic value of the part of the materials from the high-dimensional descriptor using the second machine learning model.

    MATERIAL ESTIMATION FOR THREE-DIMENSIONAL (3D) MODELING

    公开(公告)号:US20230077427A1

    公开(公告)日:2023-03-16

    申请号:US17707880

    申请日:2022-03-29

    摘要: The model generation system may generate texture maps for a texture based on a material image. A material image is an image of a physical material that describes the color (e.g., red-green-blue (RGB) color system model) of the physical material. The model generation system may identify a material class for the physical material depicted in the material image by applying a machine-learning model to the material image. The model generation system may then identify a texture map model that generates texture maps for the physical material based on the material image. The texture map model is a machine-learning model that is trained to generate texture maps for material images of a particular material class. The texture maps generated by the texture map model may include texture maps of standard texture values, such as metalness and roughness.

    METHOD FOR MEASURING THE SURFACE SHAPE OF A TORIC MIRROR

    公开(公告)号:US20230063166A1

    公开(公告)日:2023-03-02

    申请号:US17548912

    申请日:2021-12-13

    申请人: MLOptic Corp

    发明人: Zhide Su Zhiping Song

    IPC分类号: G06F30/10 G01B11/25 G06F30/20

    摘要: The invention discloses a toric mirror surface shape measurement method. The measurement method is as follows: first, according to the parameter information of the toric mirror to be measured, using three-dimensional modeling software, establish a CAD model of the toric mirror to be measured and then import the CAD model into the three-coordinate machine software, based on the three-coordinate machine to measure and construct the geometric characteristics of the solid toric mirror, establish the workpiece coordinate system, which is consistent with the CAD model coordinate system. Finally, use the three-coordinate machine to perform scanning measurements to the solid toric mirror and compare the scanning result with the theoretical value to obtain the measurement result data. The measurement method of the present invention is based on the three-coordinate measurement technology and has the advantages of strong operability and high measurement accuracy.