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Statistical Descriptors of Composite Fiber AggregationThis study introduces a method of characterizing fiber aggregation and resin rich regions in composite microstructures. Microscale models of representative elements (RVE) need to be indicative of the extend of clustering (i.e. close fiber-to-fiber interaction) and resin rich “pools” which may impact the overall strength and performance of a composite structure. This algorithm was used to evaluate different unidirectional 2-D microstructure scans, which will be compared to their manufacturing method or any special treatment processes. These cluster and pool scan statistics can be used as criteria to judge statistical equivalency of artificially constructed microstructures.
Document ID
20205007175
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
Scott E. Stapleton
(University of Massachusetts Lowell Lowell, Massachusetts, United States)
Jamal F Husseini
(University of Massachusetts Lowell Lowell, Massachusetts, United States)
Mathew Schey
(University of Massachusetts Lowell Lowell, Massachusetts, United States)
Tibor Beke
(University of Massachusetts Lowell Lowell, Massachusetts, United States)
Evan J Pineda
(Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
September 3, 2020
Subject Category
Composite Materials
Meeting Information
Meeting: American Society for Composites 35th Annual Technical Conference
Location: Virtual
Country: US
Start Date: September 14, 2020
End Date: September 17, 2020
Sponsors: Stevens Institute of Technology, American Society for Composites
Funding Number(s)
WBS: 109492.02.03.05.02
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
Statistics
Micorstructure
Aggregation
Clustering
Discrete Element Method
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