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Permeability Prediction From Non-Destructive Imaging of Composite Microstructure

Published

Author(s)

Joy Dunkers, Frederick R. Phelan Jr., Kathleen M. Flynn, D P. Sanders, Richard~undefined~undefined~undefined~undefined~undefined Parnas

Abstract

In this work, binary images of the microstructure of a unidirectional E-glass/epoxy composite were generated from the low contrast OCT data through image de-noising, contrast enhancement and feature recognition. The resulting data were input to a lattice Boltzmann model for permeability prediction. Results show that the image processing induced alterations in fiber volume fraction and tow surface area have an influence on the predicted permeability. Level-set methods for image analysis were then used to process the images to binary images. Level-set methods offer image de-noising and feature recognition while preserving fiber volume fraction and tow surface area. The calculated axial and transverse permeabilities from the level-set images shows excellent agreement with experimental values.
Proceedings Title
Society of Plastic Engineers, Annual Technical Conference | 59th | SPE/ANTEC 2001 Proceedings | CRC Press
Volume
59th
Issue
3
Conference Dates
May 1, 2001
Conference Location
Dallas, TX
Conference Title
Technical Papers of the Annual Technical Conference-Society of Plastics Engineers Incorporated

Keywords

coherence, composite, imaging, level-set, optical, permeability, tomography

Citation

Dunkers, J. , Phelan Jr., F. , Flynn, K. , Sanders, D. and Parnas, R. (2001), Permeability Prediction From Non-Destructive Imaging of Composite Microstructure, Society of Plastic Engineers, Annual Technical Conference | 59th | SPE/ANTEC 2001 Proceedings | CRC Press, Dallas, TX, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=851800 (Accessed April 16, 2024)
Created April 30, 2001, Updated October 12, 2021