Permeability Prediction From Non-Destructive Imaging of Composite Microstructure

Published

May 1, 2001

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

Pub Type

Conferences

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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 December 7, 2024)