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In-Situ Detection of Process-Induced Porosity During Cure of Out-of-Autoclave CompositesComposite materials offer unique benefits in aerospace applications and are becoming increasingly used by industry manufacturers. Current manufacturing and processing methods can lead to defects in the composites, which are identified after fabrication using inspection methods.This study utilized a high-temperature ultrasonic inspection system to detect process-induced porosity in an out-of-autoclave (OOA) composite panel. An ultrasonic scanner was enclosed in a nitrogen-cooled insulating box that prevented thermal damage from the industrial oven to the temperature-sensitive electronics. Inspection of the composite part was performed through the bottom of the enclosure, which served as the tool plate for the part. In this study, a porosity gradient was introduced through a misfit of the part and caul plate. Using the data obtained from B-scans and amplitude C-scans throughout the cure cycle, the high and low porosity regions within the composite laminate were detected and localized. OOA tests aided the transition of this system to an autoclave, which is the primary method of curing aerospace-grade thermoset composites.
Document ID
20205001858
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Tyler B. Hudson
(Langley Research Center Hampton, Virginia, United States)
Kenneth M. Serrano
(NASA NIFS Interns)
Abiel Amador Jr.
(NASA NIFS Interns)
Trenton Bryce Abbott
(NASA NIFS Interns)
Frank L. Palmieri
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
May 6, 2020
Subject Category
Composite Materials
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: Nashville, TN
Country: US
Start Date: January 11, 2021
End Date: January 15, 2021
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 081876.01.07.05
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
Keywords
In-process, Defect Detection, Cure Monitoring, Porosity, Ultrasonics
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