Algorithm to determine orientation distribution function from microscopic images of fibrous networks: Validation with X-ray microtomography

Quantitative analysis of fibre orientation in a random fibrous network (RFN) is important to understand their microstructure, properties and performance. 2D fibre orientation distribution presents an in-plane fibre orientation without any information on fibre orientation in thickness direction. This...

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Bibliographic Details
Main Authors: Yasasween Hewavidana, Mehmet Balci, Andy Gleadall, Behnam Pourdeyhimi, Vadim Silberschmidt, Emrah Demirci
Format: Default Article
Published: 2022
Subjects:
Condensed matter physics not elsewhere classified
3D orientation distribution function
Fibre density
Fibrous structure
Nonwovens
Parametric algorithm
X-ray micro -CT
Condensed Matter Physics
Online Access:https://hdl.handle.net/2134/20975101.v1
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