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Development and Demonstration of a Digital NDE Pipeline for Streamlined Analysis of Ultrasonic DataCurrently when nondestructive evaluation (NDE) is performed on composite structures, the results, although recorded digitally are often manually interpreted and indicated (drawn) on the part being inspected by hand. Following this, a determination must be made on how to disposition that part. This decision could be based on engineering guidelines and best practices, rule-of-thumb, expert opinion or finite-element analysis of the part with some approximate representation of the damage. In order to streamline this process for ultrasonic inspection an effort was undertaken as part of NASA Advanced Composites Project to develop the Digital NDE Pipeline. The Digital NDE Pipeline is an integrated tool suite and associated framework that streamlines the inspection and defect disposition process through model-assisted inspection optimization, automated defect analysis of NDE data, and mapping of NDE data into finite element analysis software. This paper will provide an overview of the Digital NDE Pipeline and provide details of the individual tools developed along with the results of applying these tools to a demonstration test case.
Document ID
20205002425
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
K. Elliott Cramer
(Langley Research Center Hampton, Virginia, United States)
David S. Forsyth
(TRI Austin, Inc. Austin, TX)
Adarsh Krishnamurthy
(Iowa State University Ames, Iowa, United States)
Steve D. Holland
(Iowa State University Ames, Iowa, United States)
Date Acquired
May 19, 2020
Subject Category
Quality Assurance And Reliability
Meeting Information
Meeting: 12th International Symposium on NDT in Aerospace 2020
Location: Williamsburg, VA
Country: US
Start Date: October 6, 2020
End Date: October 8, 2020
Sponsors: Universal Technology Corporation (United States)
Funding Number(s)
WBS: 826611.04.07.02.04
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Composites
Ultrasound
Modeling
Automatic Defect Recognition
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