公开(公告)号：US20240175369A1

公开(公告)日：2024-05-30

申请号：US17994182

申请日：2022-11-25

Applicant: RAYTHEON TECHNOLOGIES CORPORATION

Inventor： Calvin Jay Winder ,  Fadi S. Maalouf ,  Matthew E. Bintz ,  Peter T. Schutte ,  Justin Roger DeLarm ,  Pieter Van Lieu ,  Hamidreza Mohseni

IPC: F01D11/00

CPC classification number: F01D11/003 ,  F05D2240/581 ,  F05D2300/603

Abstract: A gas turbine engine includes a rotor that that has a seal surface, a shaft that has an annular seal channel that opens to the seal surface, and a seal disposed in the annular seal channel for sealing against the seal surface. The seal is made of a composite having carbon fibers disposed in a carbon matrix.

公开(公告)号：US20240175370A1

公开(公告)日：2024-05-30

申请号：US17994188

申请日：2022-11-25

Applicant: RAYTHEON TECHNOLOGIES CORPORATION

Inventor： Calvin Jay Winder ,  Fadi S. Maalouf ,  Matthew E. Bintz ,  Peter T. Schutte ,  Pieter Van Lieu ,  Justin Roger DeLarm ,  Anna Lauren Wright ,  Hamidreza Mohseni ,  David R. Lyders ,  Xiaomei Fang

IPC: F01D11/00 ,  C04B35/628 ,  C04B35/83 ,  F02C7/28

CPC classification number: F01D11/003 ,  C04B35/62873 ,  C04B35/83 ,  F02C7/28 ,  C04B2235/422 ,  C04B2235/5248 ,  C04B2235/5252 ,  F05D2220/32 ,  F05D2230/10 ,  F05D2240/55

Abstract: A gas turbine engine includes a rotor that that has a seal surface, a shaft that has an annular seal channel that opens to the seal surface, and a seal disposed in the annular seal channel for sealing against the seal surface. The seal is made of a composite having carbon fibers disposed in a carbon matrix.

公开(公告)号：US20240411962A1

公开(公告)日：2024-12-12

申请号：US18206882

申请日：2023-06-07

Applicant: RAYTHEON TECHNOLOGIES CORPORATION

Inventor： Justin Roger DeLarm

IPC: G06F30/27 ,  F01D21/00

Abstract: A method of optimizing the assembly of rotating hardware of a gas turbine engine (GTE) includes obtaining a respective input data set indicative of one or more contributors to unbalance for one or of a plurality of stages of one or more modules of the GTE. For each of the module(s), one or more neural networks associated with the module are utilized to obtain, based on the respective input data set for the module, a set of optimized clock angles for arranging the stages of the module relative to each other to mitigate vibration of the GTE. Each of the first neural network(s) has been trained with training data including the contributor(s) to unbalance, and at least one rotor dynamics model that uses the training data and the set of clock angles from the neural network(s) to predict vibration at one or more locations of interest in the GTE.