Granted Patent B2

US 12,699,056 · App. 18/416,717 · Granted Aug 4, 2026

Inventors: David Williamson Shahan (Santa Monica, CA); Ashley Marie Dustin (Santa Monica, CA); Tiffany Allison Stewart (Los Angeles, CA); Ekaterina Stonkevitch (Thousand Oaks, CA); Yuksel Can Yabansu (Oak Park, CA); Andrew L. Bauer (Kirkland, WA); Gwen Marie Lanphere Gross (Redmond, WA)

Assignee: The Boeing Company

G01N21/8851G01N21/35G01N2021/0137G01N2021/3595G01N2021/8472

Abstract

Claims (85)

1 . A material chemistry verification system comprising:

a computer system;

a Fourier transform infrared spectroscopy system configured to generate Fourier transform infrared scans of absorbed infrared energy for frequencies in an infrared spectrum for unconsolidated composite materials;

a scan classifier configured classify material chemistries in unconsolidated composite materials using the Fourier transform infrared scans of the unconsolidated composite materials;

an analyzer configured to:

control the Fourier transform infrared spectroscopy system to generate a Fourier transform infrared scan for a section of an unconsolidated composite material in real time during manufacturing of the unconsolidated composite material by a composite material manufacturing system; and

verify whether a material chemistry for the section of the unconsolidated composite material is correct in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system using the Fourier transform infrared scan and the scan classifier, wherein the scan classifier is a machine learning model system trained to classify the material chemistries in the unconsolidated composite materials using the Fourier transform infrared scans of the unconsolidated composite materials; and

a machine learning model trainer configured to:

identify sample Fourier transform infrared scans of sample materials;

calculate a mean of the sample Fourier transform infrared scans;

determine correlations of the sample Fourier transform infrared scans to the mean;

remove a selected sample Fourier transform infrared scan from the sample Fourier transform infrared scans having a lowest correlation to the mean in response to a number of sample Fourier transform infrared scans having a correlation that is less than a threshold;

repeat calculating the mean, determining the correlations, and removing the selected sample Fourier transform infrared scan in response to the number of sample Fourier transform infrared scans having the correlation that is less than a threshold; and

train the machine learning model system using the remaining sample Fourier transform infrared scans in response to the remaining sample Fourier transform infrared scans having the correlation greater than the threshold, wherein the remaining sample Fourier transform infrared scans are standardized Fourier transform infrared scans.

2 . The material chemistry verification system of claim 1 , wherein the analyzer is configured to perform a number of actions in response to determining that the material chemistry is incorrect in the section.

3 . The material chemistry verification system of claim 2 , wherein the number of actions is selected from at least one of:

generating an alert;

tracking the section of the unconsolidated composite material;

marking the section of the unconsolidated composite material;

logging a presence of an unverified material chemistry in the section of the unconsolidated composite material; and

halting production of the unconsolidated composite material.

4 . The material chemistry verification system of claim 1 , wherein in generating the Fourier transform infrared scan, the Fourier transform infrared system is configured to:

emit infrared energy at the unconsolidated composite material;

detect the infrared energy emitted at the unconsolidated composite material to form time domain data; and

perform the Fourier transform that converts the time domain data into frequency domain data to form the Fourier transform infrared scan of the absorbed infrared energy for the frequencies in the infrared spectrum for the unconsolidated composite material.

5 . The material chemistry verification system of claim 1 , wherein the Fourier transform infrared spectroscopy system comprises:

Fourier transform infrared spectroscopy devices at different locations in the composite material manufacturing system, wherein the Fourier transform infrared spectroscopy devices generate the Fourier transform infrared scans for the section of the unconsolidated composite material at the different locations in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system.

6 . The material chemistry verification system of claim 1 , wherein the scan classifier is a classification process that uses standardized Fourier transform infrared scans.

7 . The material chemistry verification system of claim 1 further comprising:

a machine learning model trainer configured to:

identify the Fourier transform infrared scans of the absorbed infrared energy in unconsolidated composite material samples having different material chemistries;

generate a training data set using the Fourier transform infrared scans; and

train the machine learning model system using the training data set.

8 . The material chemistry verification system of claim 1 , wherein the composite material manufacturing system is a carbon fiber prepreg coating line, a reinforcing fiber resin impregnation line, a resin mix process system, a resin filming line, a prepreg system, and a slitting process system.

9 . The material chemistry verification system of claim 1 , wherein the unconsolidated composite material is selected from at least one of a prepreg, an aerospace-grade prepreg, a thermoset prepreg, a thermoplastic prepreg, a woven fabric prepreg, a fiber tow prepreg, a tow prepreg, unidirectional tape prepreg, a resin coated film, non-crimp fabric, or a resin mix.

10 . A material chemistry verification system comprising:

a computer system;

a scan classifier configured to classify material chemistries in unconsolidated composite materials using Fourier transform infrared scans of the unconsolidated composite materials;

an analyzer in the computer system, wherein the analyzer is configured to:

receive a Fourier transform infrared scan for a section of an unconsolidated composite material in real time during manufacturing of the unconsolidated composite material by a composite material manufacturing system; and

verify whether a material chemistry for the section of the unconsolidated composite material is correct in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system using the Fourier transform infrared scan and the scan classifier, wherein the scan classifier is a machine learning model system trained to classify the material chemistries in the unconsolidated composite materials using the Fourier transform infrared scans of the unconsolidated composite materials; and

a machine learning model trainer configured to:

identify sample Fourier transform infrared scans of sample materials;

calculate a mean of the sample Fourier transform infrared scans;

determine correlations of the sample Fourier transform infrared scans to the mean;

remove a selected sample Fourier transform infrared scan from the sample Fourier transform infrared scans having a lowest correlation to the mean in response to a number of sample Fourier transform infrared scans having a correlation that is less than a threshold;

repeat calculating the mean, determining the correlations, and removing the selected sample Fourier transform infrared scan in response to the number of sample Fourier transform infrared scans having the correlation that is less than a threshold; and

train the machine learning model system using the remaining sample Fourier transform infrared scans in response to the remaining sample Fourier transform infrared scans having the correlation greater than the threshold, wherein the remaining sample Fourier transform infrared scans are standardized Fourier transform infrared scans.

11 . The material chemistry verification system of claim 10 , wherein the Fourier transform infrared scan is received from a Fourier transform infrared spectroscopy system.

12 . The material chemistry verification system of claim 11 , wherein the Fourier transform infrared spectroscopy system comprises:

Fourier transform infrared spectroscopy devices at different locations in the composite material manufacturing system, wherein the Fourier transform infrared spectroscopy devices generate the Fourier transform infrared scans for the section of the unconsolidated composite material at the different locations in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system.

13 . The material chemistry verification system of claim 11 , wherein the analyzer is configured to:

control the Fourier transform infrared spectroscopy system to generate the Fourier transform infrared scan for the section of the unconsolidated composite material in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system.

14 . The material chemistry verification system of claim 13 , wherein in controlling the Fourier transform infrared spectroscopy system, the analyzer is configured to control the Fourier transform infrared spectroscopy system to:

emit infrared energy at the section of the unconsolidated composite material in real time during manufacturing of the unconsolidated composite material being manufactured by the composite material manufacturing system;

detect the infrared energy emitted at the unconsolidated composite material to form time domain data; and

perform a Fourier transform that converts the time domain data into frequency domain data to form the Fourier transform infrared scan of absorbed infrared energy for frequencies in an infrared spectrum for the unconsolidated composite material.

15 . The material chemistry verification system of claim 10 wherein the scan classifier is a classification process that uses standardized Fourier transform infrared scans.

16 . The material chemistry verification system of claim 10 , wherein the composite material manufacturing system is a carbon fiber prepreg coating line, a reinforcing fiber resin impregnation line, a resin mix process system, a resin filming line, a prepreg system, and a slitting process system.

17 . The material chemistry verification system of claim 10 , wherein the unconsolidated composite material is selected from at least one of a prepreg, an aerospace-grade prepreg, a thermoset prepreg, a thermoplastic prepreg, a woven fabric prepreg, a fiber tow prepreg, a tow prepreg, unidirectional tape prepreg, a resin coated film, non-crimp fabric, or a resin mix.

18 . A method for verifying a material chemistry, the method comprising:

receiving a Fourier transform infrared scan for a section of an unconsolidated composite material in real time during manufacturing of the unconsolidated composite material by a composite material manufacturing system;

verifying whether the material chemistry for the section of the unconsolidated composite material is correct in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system using the Fourier transform infrared scan and a scan classifier, wherein the scan classifier is a machine learning model system trained to classify material chemistries in unconsolidated composite materials using Fourier transform infrared scans of the unconsolidated composite materials;

identifying sample Fourier transform infrared scans of sample materials;

calculating a mean of the sample Fourier transform infrared scans;

determining correlations of the sample Fourier transform infrared scans to the mean;

removing a selected sample Fourier transform infrared scan from the sample Fourier transform infrared scans having a lowest correlation to the mean in response to a number of sample Fourier transform infrared scans having a correlation that is less than a threshold;

repeating calculating the mean, determining the correlations, and removing the selected sample Fourier transform infrared scan in response to the number of sample Fourier transform infrared scans having the correlation that is less than a threshold; and

training the machine learning model system using the remaining sample Fourier transform infrared scans in response to the remaining sample Fourier transform infrared scans having the correlation greater than the threshold, wherein the remaining sample Fourier transform infrared scans are standardized Fourier transform infrared scans.

19 . The method of claim 18 , wherein the Fourier transform infrared scan is received from a Fourier transform infrared spectroscopy system.

20 . The method of claim 19 further comprising:

controlling the Fourier transform infrared spectroscopy system to generate the Fourier transform infrared scan for the section of the unconsolidated composite material in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system.

21 . The method of claim 20 , wherein controlling the Fourier transform infrared spectroscopy system comprises:

controlling the Fourier transform infrared spectroscopy system to:

emit infrared energy at the section of the unconsolidated composite material in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system;

detect the infrared energy emitted at the unconsolidated composite material to form time domain data; and

perform a Fourier transform that converts the time domain data into frequency domain data to form the Fourier transform infrared scan of absorbed infrared energy for frequencies in an infrared spectrum for the unconsolidated composite material.

22 . The method of claim 19 , wherein the Fourier transform infrared spectroscopy system comprises Fourier transform infrared spectroscopy devices at different locations in the composite material manufacturing system, wherein the Fourier transform infrared spectroscopy devices generate Fourier transform infrared scans for the section of the unconsolidated composite material at the different locations in real time during manufacturing of the unconsolidated composite material by the composite material manufacturing system and wherein the Fourier transform infrared scan is generated from one of the locations.

23 . The method of claim 18 wherein the scan classifier is a classification process that uses standardized Fourier transform infrared scans.

24 . The method of claim 23 further comprising:

identifying the Fourier transform infrared scans of absorbed infrared energy in unconsolidated composite material samples having different material chemistries;

generating a training data set using the Fourier transform infrared scans; and

training a machine learning model system using the training data set.

25 . The method of claim 18 , wherein the composite material manufacturing system is a carbon fiber prepreg coating line, a reinforcing fiber resin impregnation line, a resin mix process system, a resin filming line, a prepreg system, and a slitting process system.

26 . The method of claim 18 , wherein the unconsolidated composite material is selected from at least one of a prepreg, an aerospace-grade prepreg, a thermoset prepreg, a thermoplastic prepreg, a woven fabric prepreg, a fiber tow prepreg, a tow prepreg, unidirectional tape prepreg, a resin coated film, non-crimp fabric, or a resin mix.

Assignments (1)

Continuity (3)

References Cited (92)