IP Library Granted Patent US 11,543,811
Granted Patent B2
US 11,543,811 · App. 15/863,534 · Granted Jan 3, 2023

Manufacture modeling and monitoring

Inventors: Joseph M. Kesler (Cincinnati, OH); Thomas D. Sharp (Terrace Park, OH); Uriah M. Ligget (Independence, KY); Brian Bahr (Cincinnati, OH); Chris M. Hodapp (Reading, OH); Gary E. Coyan (Terrace Park, OH)
Assignee: Etegent Technologies Ltd.
G05B19/41885G05B19/4063G05B2219/31444G05B2219/32359G05B2219/32368G05B2219/32385
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Quick Facts
Patent No.
US 11,543,811
App. No.
15/863,534
Granted
Jan 3, 2023
Kind
B2
Abstract

Methods, apparatus, and computer program products for analyzing, monitoring, and/or modeling the manufacture of a type of part by a manufacturing process. Non-destructive evaluation data and/or quality related data collected from manufactured parts of the type of part may be aligned to a simulated model associated with the type of part. Based on the aligned data, the manufacturing process may be monitored to determine whether the manufacturing process is operating properly; aspects of the manufacturing process may be spatially correlated to the aligned data; and/or the manufacturing process may be analyzed.

Claims (55)

1. A method of modeling the manufacture of a type of part with a manufacturing process that includes at least one manufacturing step in a system including at least one processing unit and at least one memory, the method comprising:

receiving nondestructive evaluation (NDE) data associated with the type of part that corresponds to data collected during non-destructive evaluation of at least one particular part of the type of part;

aligning the NDE data to at least one corresponding simulated location on a simulated model of at least a portion of a part of the type of part; and

associating manufacturing data with the simulated model, wherein the manufacturing data includes at least one of data indicating a manufacturing step of the manufacturing process, data indicating a manufacturing apparatus utilized in the manufacturing process, data indicating a manufacturing tool utilized in the manufacturing process, data indicating a process parameter of the manufacturing process, and data indicating evaluation equipment utilized in collecting the NDE data for a part manufactured by the manufacturing process;

wherein associating the manufacturing data with the simulated model includes associating the manufacturing data with at least one corresponding simulated location on the simulated model.

2. The method of claim 1 , further comprising:

associating the manufacturing data with NDE data that is aligned to at least one particular simulated location.

3. The method of claim 2 further comprising:

analyzing NDE data that is aligned to the at least one particular simulated location and the associated manufacturing data and identifying a manufacturing step of the manufacturing process that is associated with the NDE data aligned to the at least one particular simulated location.

4. The method of claim 2 further comprising:

analyzing NDE data that is aligned to the at least one particular simulated location and the associated manufacturing data and identifying a manufacturing apparatus that is utilized in the manufacturing process associated with the NDE data aligned to the at least one particular simulated location.

5. The method of claim 2 further comprising:

analyzing NDE data that is aligned to that at least one particular simulated location and the associated manufacturing data and identifying a manufacturing tool that is utilized in the manufacturing process associated with the NDE data aligned to the at least one particular simulated location.

6. The method of claim 1 , wherein the manufacturing data includes data indicating evaluation equipment that is utilized in collecting the NDE data during non-destructive evaluation of the at least one particular part, the method further comprising:

analyzing the NDE data and the aligned NDE data to determine whether the evaluation equipment utilized in collecting the NDE data is operating properly.

7. A method of analyzing a manufactured part of a particular type of part, wherein the manufactured part is manufactured using a manufacturing process that includes a plurality of manufacturing steps in a system including at least one processing unit and at least one memory, the method comprising:

aligning a non-destructive evaluation (NDE) dataset associated with the manufactured part to a simulated model of at least of a portion of a part of the particular type of part, including aligning NDE data associated with an area of interest on the manufactured part to at least one corresponding simulated location on the simulated model;

the NDE dataset corresponding to data collected during non-destructive evaluation of the associated manufactured part;

analyzing the aligned NDE data associated with the area of interest on the manufactured part and the at least one corresponding simulated location to determine whether the manufactured part includes a manufacturing defect that is associated with the area of interest;

aligning an indication of a determined manufacturing defect associated with an area of interest to at least one corresponding simulated location on the simulated model; and

analyzing the aligned NDE data associated with the area of interest, the at least one corresponding simulated location of the aligned manufacturing defect on the simulated model, and the aligned manufacturing defect and determining at least one manufacturing step that is associated with the manufacturing defect on the manufactured part.

8. The method of claim 7 , wherein analyzing the aligned NDE data associated with the area of interest on the manufactured part and the at least one corresponding simulated location includes determining a spatially correlated statistic for the area of interest for the manufactured part, and comparing the spatially correlated statistic to baseline data associated with the area of interest on the simulated model.

9. The method of claim 7 , further comprising:

in response to determining that the manufactured part includes a manufacturing defect associated with the area of interest, analyzing the aligned manufacturing defect to determine a root cause problem associated with the at least one corresponding simulated location of the aligned manufacturing defect on the simulated model.

10. The method of claim 9 , wherein analyzing the aligned manufacturing defect includes analyzing manufacturing data that is associated with the at least one corresponding simulated location of the aligned manufacturing defect on the simulated model; and the associated manufacturing data of the at least one corresponding simulated location of the aligned manufacturing defect including historical data for the type of part indicating any manufacturing defects associated with least one corresponding simulated location of the aligned manufacturing defect and any root cause problems that are associated with the manufacturing defects for the type of part.

11. The method of claim 7 , further comprising:

identifying at least one manufacturing apparatus which is utilized in the at least one manufacturing step that is associated with the identified manufacturing defect on the manufactured part.

12. The method of claim 11 , further comprising:

identifying at least one manufacturing tool which is associated with the manufacturing apparatus that is associated with the manufacturing defect on the manufactured part.

13. A method of monitoring the manufacture of a composite aircraft part of a particular type of composite aircraft part by a manufacturing process that has a system including at least one processing unit and at least one memory, the method comprising:

receiving a plurality of non-destructive evaluation (NDE) datasets, wherein each NDE dataset is associated with at least a portion of a manufactured composite aircraft part of the particular type;

each NDE dataset corresponding to data collected during non-destructive evaluation of the associated at least a portion of the manufactured composite aircraft part;

aligning the plurality of NDE datasets to a simulated model associated with the at least a portion of the particular type of composite aircraft part;

analyzing each aligned NDE dataset to determine at least one spatially correlated statistic for each composite aircraft part;

aligning each spatially correlated statistic to at least one corresponding simulated location on the simulated model; and

analyzing the aligned spatially correlated statistics for at least a subset of the composite aircraft parts to determine a manufacturing trend associated with the manufacturing process based on the analyzed spatially correlated statistics.

14. The method of claim 13 further comprising:

analyzing the manufacturing trend and base line data that is associated with the at least one corresponding simulated location on the simulated model to determine whether the manufacturing process is operating properly.

15. The method of claim 14 , further comprising:

in response to determining that the manufacturing process is not operating properly, determining a root cause problem associated with the manufacturing process based at least in part on the aligned NDE datasets.

16. The method of claim 13 , wherein the spatially correlated statistic is one of average porosity, average thickness or average distance for a region of the at least a portion of a manufactured composite aircraft part of the particular type.

17. The method of claim 13 , further comprising:

receiving manufacturing data associated with the manufacturing process for the particular type of part;

the manufacturing data including at least one of:

data indicating a manufacturing step of the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing apparatus utilized in the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing parameter of the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing tool utilized in the manufacturing process associated with at least one physical location on the particular type of part, and data indicating at least one possible root cause problem of the manufacturing process associated with at least one physical location on the particular type of part; and

associating the manufacturing data with the simulated model.

18. A method of monitoring the manufacture of a composite aircraft part of a particular type of composite aircraft part by a manufacturing process that has a system including at least one processing unit and at least one memory, the method comprising:

receiving a plurality of non-destructive evaluation (NDE) datasets, wherein each NDE dataset is associated with at least a portion of a manufactured composite aircraft part of the particular type;

each NDE dataset corresponding to data collected during non-destructive evaluation of the associated at least a portion of the manufactured composite aircraft part;

aligning the plurality of NDE datasets to a simulated model associated with the at least a portion of the particular type of composite aircraft part; and

analyzing each aligned NDE dataset to determine at least one spatially correlated statistic for each composite aircraft part;

receiving manufacturing data associated with the manufacturing process for the particular type of part;

the manufacturing data including at least one of:

data indicating a manufacturing step of the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing apparatus utilized in the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing parameter of the manufacturing process associated with at least one physical location on the particular type of part, data indicating a manufacturing tool utilized in the manufacturing process associated with at least one physical location on the particular type of part, and data indicating at least one possible root cause problem of the manufacturing process associated with at least one physical location on the particular type of part; and

associating the manufacturing data with the simulated model.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 5, 2026
From: ETEGENT TECHNOLOGIES, LTD.
To: NLIGN ANALYTICS, INC.
Reel/Frame 074866/0752 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2019
From: KESLER, JOSEPH M.; SHARP, THOMAS D.; LIGGETT, URIAH M.; BAHR, BRIAN; HODAPP, CHRIS M.; COYAN, GARY E.
To: ETEGENT TECHNOLOGIES LTD.
Reel/Frame 049735/0178 →
Continuity (4)
Continuation 14211600 · Mar 14, 2014
Provisional Application 61791139 · Mar 15, 2013
Related Publication 20190212721A1 · Jul 11, 2019
Related Publication 20200218242A9 · Jul 9, 2020