公开(公告)号：US20250093848A1

公开(公告)日：2025-03-20

申请号：US18784327

申请日：2024-07-25

Applicant: General Electric Company

Inventor： Steven Donald Atkinson ,  Panagiotis Tsilifis ,  Ananda Barua ,  Vadim Bromberg

IPC: G05B19/4099

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.