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    Augmented reliability models for design and manufacturing
    1.
    发明授权
    Augmented reliability models for design and manufacturing 有权

    公开(公告)号：US12079554B2

    公开(公告)日：2024-09-03

    申请号：US17957152

    申请日：2022-09-30

    申请人： Optimal Plus Ltd. ,  ANSYS Inc.

    发明人： Shaul Teplinsky ,  Dan Sebban ,  Craig Hillman ,  Ashok Alagappan

    IPC分类号： G06F30/27 ,  G06F119/02 ,  G06N20/00

    CPC分类号： G06F30/27 ,  G06N20/00 ,  G06F2119/02

    摘要： A method for generating a reliability performance model includes developing a reliability prediction machine learning model for predicting reliability performance of a product based on data obtained from manufacturing and testing of the product, and obtaining feature names for the reliability prediction machine learning model and their predictive power values. The feature names may correspond to features from the data obtained from manufacturing and testing of the product. The method may further include extracting a set of feature names corresponding to features having highest predictive power values from the feature names, and generating a reliability performance model using one or more model parameters derived from the set of feature names.

    Blackbox reduced order models of thermal systems
    2.
    发明授权
    Blackbox reduced order models of thermal systems 有权

    公开(公告)号：US12039238B1

    公开(公告)日：2024-07-16

    申请号：US16722574

    申请日：2019-12-20

    申请人： Ansys, Inc.

    发明人： Saeed Asgari ,  Xiao Hu ,  Aravind Sathyanarayana ,  Viralkumar Gandhi

    IPC分类号： G06F30/20 ,  G06F17/16 ,  G06F30/27 ,  G06F119/08

    CPC分类号： G06F30/27 ,  G06F17/16 ,  G06F30/20 ,  G06F2119/08

    摘要： Computationally efficient and accurate methods of fitting black box simulation data to obtain Linear Parametrically Varying models useful for design of thermal management systems are disclosed. The Linear Parametrically Varying models may be used in dynamic simulations to determine temperatures in thermal systems. A computer-implemented model is run at a plurality of fixed values of the scheduling parameter to obtain output responses to excitations of the input at the fixed values of the scheduling parameter. LTI representations are fit to the output responses, the LTI representations having state-space variables characterized by negative real poles. Coefficient matrices of the LTI representations are updated, and an LPV-ROM representation is generated.

    Systems and methods of simulating preload in fasteners undergoing rotation
    3.
    发明授权
    Systems and methods of simulating preload in fasteners undergoing rotation 有权

    公开(公告)号：US12039237B1

    公开(公告)日：2024-07-16

    申请号：US16984558

    申请日：2020-08-04

    申请人： ANSYS, Inc.

    发明人： Yongyi Zhu ,  Chandra Shekhar Thakur

    IPC分类号： G06F30/23 ,  G06F111/10

    CPC分类号： G06F30/23 ,  G06F2111/10

    摘要： Data characterizing a fastener and a preload condition applied to the fastener are received in a computer system. A model representing a mechanism coupling a first portion and a second portion of the fastener is created. The first portion and the second portion are located respectively at either end of the fastener along a longitudinal axis of the fastener. The first portion and the second portion are axially displaceable along the axis towards each other via the mechanism and rotatably displaceable about the axis relative to each other via the mechanism. The model includes relative axial displacement and/or relative torsional displacement between the first portion and the second portion corresponding to the preload condition. Physical behaviors of the fastener applied with the preload condition is simulated based on the model.

    AUTOMATING EXTRACTION OF MATERIAL MODEL COEFFICIENTS FOR SIMULATIONS
    5.
    发明公开
    AUTOMATING EXTRACTION OF MATERIAL MODEL COEFFICIENTS FOR SIMULATIONS 审中-公开

    公开(公告)号：US20240086584A1

    公开(公告)日：2024-03-14

    申请号：US18369804

    申请日：2023-09-18

    申请人： ANSYS, INC.

    发明人： Vinay Kumar Carpenter ,  Prem Andrade ,  Ravindra Lahu Masal

    IPC分类号： G06F30/20 ,  G06F30/10

    CPC分类号： G06F30/20 ,  G06F30/10

    摘要： Systems and methods for deriving material coefficient values from physical measurements of physical objects are described. These physical measurements can provide material test data. In one embodiment of a method described herein, the material test data can be used to calculate a first subset of material coefficients for use in one or more material models from material test data; the method can define a set of optimization parameters and define a set of relationships between a second subset of the material coefficients and the set of optimization parameters such that values of the material coefficients in the second subset of material coefficients can be calculated from the set of optimization parameters, wherein the first subset and the second subset include all of the material coefficients in the one or more material models and the set of optimization parameters have fewer parameters than a total number of coefficients in the first subset and the second subset; then the method can calculate optimum values of the optimization parameters to yield an optimum fit of the one or more models to the material test data, the optimum fit based on optimum material coefficients calculated from the calculated optimum values of the optimization parameters.

    Systems and methods for building dynamic reduced order physical models
    6.
    发明授权
    Systems and methods for building dynamic reduced order physical models 有权

    公开(公告)号：US11922314B1

    公开(公告)日：2024-03-05

    申请号：US16527387

    申请日：2019-07-31

    申请人： ANSYS, INC.

    发明人： Mohamed Masmoudi ,  Christelle Boichon-Grivot ,  Valéry Morgenthaler ,  Michel Rochette

    IPC分类号： G06N3/084 ,  G06F30/00 ,  G06N3/048

    CPC分类号： G06N3/084 ,  G06F30/00 ,  G06N3/048

    摘要： Methods and apparatuses that generate a simulation object for a physical system are described. The simulation object includes a trained computing structure to determine future output data of the physical system in real time. The computing structure is trained with a plurality of input units and one or more output units. The plurality of input units include regular input units to receive input data and output data of the physical system. The output units include one or more regular output units to predict a dynamic rate of change of the input data over a period of time. The input data and output data of the physical system are obtained for training the computing structure. The input data represent a dynamic input excitation to the physical system over the period of time. And the output data represents a dynamic output response of the physical system to the dynamic input excitation over the period of time.

    Generating CAD models from topology optimization data
    10.
    发明授权
    Generating CAD models from topology optimization data 有权

    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.

    发明人： Wolfgang Seibold ,  Brian Tomas ,  Matthias Messner

    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.