Machine learning based rotor alloy design system

    公开(公告)号:US11676009B2

    公开(公告)日:2023-06-13

    申请号:US16593328

    申请日:2019-10-04

    CPC classification number: G06N3/08 B64F5/00 G06V10/764 G06V10/82

    Abstract: A method for designing a material for an aircraft component according to one example includes training a neural network to correlate microstructural features of an alloy with material properties of the alloy by at least providing a set of images of the alloy. Each of the images in the set of images has varied constituent compositions and at least one patch of corresponding data is embedded into the image. The method also includes determining non-linear relationships between the microstructural features and corresponding empirically determined material properties via a machine learning algorithm, receiving a set of desired material properties of the alloy for aircraft component, and determining a set of microstructural features capable of achieving the desired material properties of the alloy based on the determined non-linear relationships.

    MACHINE LEARNING BASED ROTOR ALLOY DESIGN SYSTEM

    公开(公告)号:US20210103805A1

    公开(公告)日:2021-04-08

    申请号:US16593328

    申请日:2019-10-04

    Abstract: A method for designing a material for an aircraft component according to one example includes training a neural network to correlate microstructural features of an alloy with material properties of the alloy by at least providing a set of images of the alloy. Each of the images in the set of images has varied constituent compositions and at least one patch of corresponding data is embedded into the image. The method also includes determining non-linear relationships between the microstructural features and corresponding empirically determined material properties via a machine learning algorithm, receiving a set of desired material properties of the alloy for aircraft component, and determining a set of microstructural features capable of achieving the desired material properties of the alloy based on the determined non-linear relationships.

    MATERIAL SELECTION AND OPTIMIZATION PROCESS FOR COMPONENT MANUFACTURING

    公开(公告)号:US20200055614A1

    公开(公告)日:2020-02-20

    申请号:US16104435

    申请日:2018-08-17

    Abstract: A method for designing a material for an aircraft component includes training a neural network to correlate microstructural features of an alloy with material properties of the alloy by at least providing a set of images of the alloy to the neural network. Each of the images in the set of images has varied constituent compositions. The method further includes providing the neural network with a set of determined material properties corresponding to each image, associating the microstructural features of each image with the set of empirically determined data corresponding to the image, and determining non-linear relationships between the microstructural features and corresponding empirically determined material properties via a machine learning algorithm, receiving a set of desired material properties of the alloy for aircraft component, and determining a set of microstructural features capable of achieving the desired material properties of the alloy based on the determined non-linear relationships.

    Chill Plate for Equiax Casting Solidification Control For Solid Mold Casting of Reticulated Metal Foams
    27.
    发明申请
    Chill Plate for Equiax Casting Solidification Control For Solid Mold Casting of Reticulated Metal Foams 有权
    冷轧板用于铸造网状金属泡沫的实心铸造的铸造凝固控制

    公开(公告)号:US20170008071A1

    公开(公告)日:2017-01-12

    申请号:US14792997

    申请日:2015-07-07

    CPC classification number: B22C7/023 B22C9/04 B22C9/22 B22D15/04 B22D25/005

    Abstract: A method to manufacture reticulated metal foam via a dual investment solid mold includes pouring molten metal material into a mold while the mold is located on a chill plate. A method to manufacture reticulated metal foam includes pouring molten metal material into a mold while the mold is located on a chill plate, the chill plate configured to apply an externally driven temperature gradient in the mold so that solidification progresses from the chilled end to the non-chilled end

    Abstract translation: 通过双投资固体模具制造网状金属泡沫的方法包括在模具位于冷却板上时将熔融金属材料浇注到模具中。 一种制造网状金属泡沫的方法包括在模具位于冷却板上时将熔融金属材料浇注到模具中,该冷却板构造成在模具中施加外部驱动的温度梯度,使得固化从冷冻端到非冷冻端 结束了

    Open-Cell Reticulated Foam
    28.
    发明申请
    Open-Cell Reticulated Foam 审中-公开
    开孔网状泡沫

    公开(公告)号:US20160228913A1

    公开(公告)日:2016-08-11

    申请号:US14617291

    申请日:2015-02-09

    Abstract: A foam for use in a lost-foam casting process utilized in the manufacture of a component for a gas turbine engine, the foam having a void fraction less than or equal to ninety five percent, is disclosed. The foam may include a first layer comprising polymer foam having an open-cell structure and a void fraction greater than ninety five percent. A second layer, comprising adhesive, may be adhered to the first layer. A third layer comprising particulate material may be adhered to the second layer.

    Abstract translation: 公开了一种用于制造用于燃气涡轮发动机的部件的失水泡沫铸造工艺中的泡沫,该泡沫具有小于或等于百分之九十五的空隙率。 泡沫可以包括第一层,其包含具有开孔结构和空隙率大于百分之九十五的聚合物泡沫。 包含粘合剂的第二层可以粘附到第一层。 包含颗粒材料的第三层可以粘附到第二层。

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