SYSTEM AND METHOD FOR PREDICTION BINDER JET DISTORTION AND VARIABILITY USING MACHINE LEARNING

    公开(公告)号:US20250093848A1

    公开(公告)日:2025-03-20

    申请号:US18784327

    申请日:2024-07-25

    Abstract: A method for predicting distortion of a part during sintering in an additive process includes receiving a computerized representation of a complex geometric part, discretizing the computerized representation of the complex geometric part into a plurality of elements, processing the plurality of elements of the computerized representation of the complex geometric part with a machine-learning model configured to predict a distorted geometry of the complex geometric part in response to a sintering process, wherein the machine-learning model is trained to predict distortion of a set of primitive geometric coupons represented by image data fed into the machine-learning model during training, the set of primitive geometric coupons having fewer geometries than the complex geometric part, the complex geometric part comprises a plurality of geometries corresponding to geometries associated with the set of primitive geometric coupons, and generating a computerized representation of the predicted distorted geometry of the complex geometric part.

    EROSION-SHIELDED TURBINE BLADES AND METHODS OF MANUFACTURING THE SAME

    公开(公告)号:US20240133297A1

    公开(公告)日:2024-04-25

    申请号:US17973198

    申请日:2022-10-24

    CPC classification number: F01D5/005 B23P6/007 F05D2230/10 F05D2230/22

    Abstract: A method of manufacturing an erosion-shielded turbine blade includes providing a turbine blade for use with a rotary machine. The turbine blade includes an airfoil extending between a root and a tip. The airfoil includes a pressure side and an opposite suction side, and each of the pressure and suction sides extends between a leading edge and a trailing edge. The method also includes printing a green body part by an additive manufacturing process by selectively depositing a binder solution across a particulate erosion-resistant material, and sintering the green body part to produce a post-sintering erosion shield that includes densified erosion-resistant material. The method also includes coupling the erosion shield to the leading edge of the turbine blade.

    Systems and method for predicting distortion of green body parts during sintering

    公开(公告)号:US11787120B2

    公开(公告)日:2023-10-17

    申请号:US17092524

    申请日:2020-11-09

    Inventor: Ananda Barua

    CPC classification number: B29C64/393 B29C64/153 G01N3/08 B33Y50/02

    Abstract: A method of predicting a post-sintering geometry of a green body part includes determining stress differentiating material properties of a material configuration of the green body part by physically measuring the stress differentiating material properties of the material configuration and identifying a plurality of stress regions in the green body part via a first sintering analysis of the green body part. Each stress region is associated with a portion of the green body part subjected to a particular stress state during sintering. The method also includes assigning different sets of stress differentiating material properties to each of the plurality of stress regions to form a stress-simulated green body part and predicting the post-sintering geometry via a second sintering analysis of the stress-simulated green body part.

    SYSTEM AND METHOD FOR IDENTIFYING DISTORTION-COMPENSATION THRESHOLD FOR SINTERING PARTS WITH COMPLEX FEATURES

    公开(公告)号:US20220245304A1

    公开(公告)日:2022-08-04

    申请号:US17162219

    申请日:2021-01-29

    Abstract: A system includes a memory module configured to store a computer model of a part for manufacturing with an additive manufacturing machine, and a processor communicatively coupled to the memory module. The processor is configured to receive the computer model, discretize the computer model into a mesh, predict a deformation behavior the plurality of nodes of the mesh under a simulated sintering process, determine a buckling factor for the part based on the predicted deformation behavior of the mesh, determine whether the buckling factor exceeds a threshold, in response to determining that the buckling factor exceeds the threshold, export the computer model to the additive manufacturing machine for pre-build processing, and in response to determining that the buckling factor does not exceeds the threshold, output, to a display of the system, at least one of an alert that the part is unstable or the buckling factor.

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