NTRS
NTRS - NASA Technical Reports Server
Search
more_vert
Collections
About
News
Help
Login
Press Enter or click the Search button to begin your search.
Back to Results
Machine Learning to Predict Joint Performance in Epoxy Composites Based on Process Parameters
Document ID
20210000075
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Brennen M Middleton
(Universities Space Research Association Columbia, Maryland, United States)
Tyler B Hudson
(Langley Research Center Hampton, Virginia, United States)
Yi Lin
(National Institute of Aerospace Hampton, Virginia, United States)
Jin Ho Kang
(National Institute of Aerospace Hampton, Virginia, United States)
Frank L Palmieri
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
January 5, 2021
Subject Category
Composite Materials
Meeting Information
Meeting:
2021 Annual Meeting of the Adhesion Society
Location:
Virtual
Country:
US
Start Date:
February 22, 2021
End Date:
February 25, 2021
Sponsors:
Adhesive and Sealant Council
Funding Number(s)
WBS: 533127.02.19.07.02
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Available Downloads
Name
Type
Aerobond_Extened Abstract_Middleton_Final.pdf
STI
cloud_download
content_copy
visibility
Related Records
There are no records associated with this record.
visibility_off
No Preview Available