IP Library Granted Patent US 11,280,751
Granted Patent B2
US 11,280,751 · App. 16/209,884 · Granted Mar 22, 2022

System and method for optimizing a manufacturing process based on an inspection of a component

Inventors: Eric John Ruggiero (Cincinnati, OH); James Tallman (Niskayuna, NY)
Assignee: GENERAL ELECTRIC COMPANY
G01N25/72G01B21/085G06Q50/04
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Quick Facts
Patent No.
US 11,280,751
App. No.
16/209,884
Granted
Mar 22, 2022
Kind
B2
Abstract

There are provided a system and a method of use thereof for executing a manufacturing process. For example, a method can include executing, by a system configured to drive the manufacturing process, a set of manufacturing functions based on a digital model of a first part. The method can include fetching, by the system, from an in-field scoring system, performance data relating to a second part. The method can further include constructing the digital model based on the performance data relating to the second part. The method can further include generating, based on the digital model, a forecast representative of a performance of the first part and generating the set of manufacturing functions based on the digital model and the forecast. The method further includes manufacturing the first part according to the set of manufacturing functions.

Claims (36)

1. A method for optimizing a manufacturing process, the method comprising:

executing, by a system configured to drive the manufacturing process, a set of manufacturing functions for a first part, the executing including:

fetching, by the system, from an in-field scoring system, performance data relating to a second part similar to the first part;

generating and assigning a score for the second part based on a comparison of performance data of the second part relative to performance data of a plurality of in-field parts according to a product environment spectrum;

constructing a digital model based on the performance data relating to the second part and the score;

generating, based on the digital model, a forecast representative of a performance of the first part;

generating the set of manufacturing functions based on the digital model and the forecast; and

manufacturing the first part according to the set of manufacturing functions.

2. The method of claim 1 , further comprising collecting the performance data via at least one inspection device.

3. The method of claim 1 , further comprising collecting the performance data via one of pressure sensitive paint of the second part, a blue light inspection device, a white light inspection device, and an infrared-based inspection device.

4. The method of claim 1 , wherein the performance data is related to a thermal performance of the second part.

5. The method of claim 1 , wherein the performance data is related to a thermal performance of a cooling film.

6. The method of claim 1 , wherein the performance data is related to a thickness distribution of a thermal or environmental barrier coating.

7. The method of claim 1 , wherein the performance data is related to a thermal effectiveness of the second part.

8. The method of claim 1 , wherein the second part is a hot gas path component.

9. The method of claim 1 , wherein the manufacturing process is not optimized according to a geometrical feature of the second part.

10. A system for executing a manufacturing process to manufacture a first part, the system comprising:

a processor;

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

executing a set of manufacturing functions for manufacturing a first part, the executing including:

fetching, from an in-field scoring system, performance data relating to a second part similar to the first part;

generating and assigning a score for the second part based on a comparison of performance data of the second part relative to performance data of a plurality of in-field parts according to a product environment spectrum;

constructing a digital model based on the performance data relating to the second part and the score;

generating, based on the digital model, forecast data representative of a performance of the first part;

generating the set of manufacturing functions based on the digital model and the forecast data; and

manufacturing the first part according to the set of manufacturing functions.

11. The system of claim 10 , wherein the operations further include collecting the performance data via at least one inspection device.

12. The system of claim 10 , wherein the operations further include collecting the performance data via one of pressure sensitive paint applied on the second part, a blue light inspection device, a white light inspection device, and an infrared-based inspection device.

13. The system of claim 10 , wherein the performance data is related to a thermal performance of the second part.

14. The system of claim 10 , wherein the performance data is related to a thermal performance of a cooling film.

15. The system of claim 10 , wherein the performance data is related to a thickness distribution of a thermal or environmental barrier coating.

16. The system of claim 10 , wherein the performance data is related to a thermal effectiveness of the second part.

17. The system of claim 10 , wherein the second part is a component in a hot gas path of an engine.

18. The system of claim 10 , wherein the manufacturing process is not optimized according to a geometrical feature of the second part.

19. The system of claim 10 , wherein the manufacturing process is optimized according to performance data from a plurality of in-field parts.

20. The system of claim 10 , wherein the manufacturing process is optimized according to performance data relating an aircraft engine.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 4, 2018
From: RUGGIERO, ERIC JOHN; TALLMAN, JAMES
To: GENERAL ELECTRIC COMPANY
Reel/Frame 047673/0207 →
Continuity (1)
Related Publication 20200173943A1 · Jun 4, 2020
Cited By (1)
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