Granted Patent B2

US 12,472,693 · App. 16/901,147 · Granted Nov 18, 2025

Inventors: Stephen Jonathan Davis (Eastleigh, GB); Jonathan Mark Dunsdon (Murphys, CA)

Assignee: General Electric Company

B29C64/393B29C64/171B29C64/188G05B17/02B33Y10/00B33Y30/00B33Y40/10B33Y40/20B33Y50/02

Abstract

Claims (26)

1 . A system for making or repairing a specified part, the system including:

a processor; and

a memory including instructions that, when executed by the processor, cause the processor to perform operations comprising:

receiving, from a machine communicatively coupled with the processor, a set of data including at least one of sensor data or inspection data, the set of data associated with at least one of an additive manufacturing process, a reductive manufacturing process, a repair process, a pre-treatment step, or a post-treatment step, wherein the set of data is for manufactured parts similar to the specified part;

creating an optimized manufacturing process to make or repair the specified part, the creating including:

generating, in real time, a surrogate model corresponding with a physics-based model of the specified part as-manufactured, wherein the surrogate model forms a digital twin of the specified part, wherein the digital twin includes: a first model-including a relationship between the set of data and the physics-based model; and a second model of a spectrum of operating environments and as-operated data acquired from actual performance of the manufactured parts over a lifetime of the manufactured parts as operated while deployed in the field, the as-operated data acquired from actual performance of the manufactured parts similar to the specified part as operated while deployed in the field across the spectrum of operating environments, the operating environments including operational conditions that the manufactured parts similar to the specified part are exposed to in operation in the field; and

determining a process parameter for the optimized manufacturing process based on the surrogate model and a target performance for the specified part as operated in the field; and

executing, based on the digital twin, the optimized manufacturing process to either repair or make the specified part, the optimized manufacturing process implementing the process parameter.

2 . The system as set forth in claim 1 , wherein the operations further include communicating the set of data to a central server.

3 . The system as set forth in claim 2 , wherein the process parameter is a quantity of material to be added to the specified part; and wherein the set of data includes a quantity of material added to the manufactured parts similar to the specified part.

4 . The system as set forth in claim 1 , wherein the operations further include associating the set of data to a unique identifier of the specified part; and wherein the unique identifier is a serial number of a component or a serial number of a batch of components.

5 . The system as set forth in claim 4 , wherein the operations further include associating the set of data from a single process step or multiple process steps.

6 . The system as set forth in claim 5 , wherein the operations further include collating the set of data from the single process step or the multiple process steps.

7 . The system as set forth in claim 2 , wherein the operations further include, collating, by the central server, the set of data to a unique identifier of a component or batch of components of the specified part.

8 . The system as set forth in claim 7 , wherein the operations further include correlating the unique identifier with the as-operated data.

9 . The system as set forth in claim 7 , wherein the operations further include correlating the unique identifier with the surrogate model.

10 . The system as set forth in claim 1 , wherein the operations further include deploying the specified part based on the surrogate model.

11 . The system as set forth in claim 1 , wherein the digital twin is based on at least one of as-manufactured, as-tested, as-designed, and as-simulated data for the specified part.

12 . The system as set forth in claim 1 , wherein the operations further include predicting durability of the specified part based on the digital twin.

13 . The system as set forth in claim 1 , wherein the operations further include receiving data indicative of the spectrum of operating environments.

14 . The system as set forth in claim 13 , wherein the operations further include sorting the specified part based, at least in part, on the spectrum of operating environments.

15 . The system as set forth in claim 1 , wherein the operations further include sorting the specified part according to one or more performance criteria.

16 . The system as set forth in claim 15 , wherein the one or more performance criteria includes robustness.

17 . The system as set forth in claim 16 , wherein the operations further include assigning the specified part to a particular operating environment within the spectrum of operating environments based on the one or more performance criteria.

18 . The system as set forth in claim 1 , wherein the operations further include receiving the as-operated data, wherein the as-operated data is associated with a part of the same type as the specified part.

19 . The system as set forth in claim 18 , wherein creating further includes updating the surrogate model based on the as-operated data.

Assignments (1)

Continuity (3)

References Cited (200)