A Statistical Porosity Characterization Approach of Carbon-Fiber-Reinforced Polymer Material Using Optical Microscopy and Neural Network

A Statistical Porosity Characterization Approach of Carbon-Fiber-Reinforced Polymer Material Using Optical Microscopy and Neural Network

The intensified pursuit for lightweight solutions in the commercial vehicle industry increases the demand for method development of more advanced lightweight materials such as Carbon-Fiber-Reinforced Composites (CFRP). The behavior of these anisotropic materials is challenging to understand and manu...

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Bibliographic Details
Main Authors: Sara Eliasson, Mathilda Karlsson Hagnell, Per Wennhage, Zuheir Barsoum
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Materials
Subjects:
Carbon-Fiber-Reinforced Polymer
porosity
Convolutional Neural Network
optical microscopy
Online Access:https://www.mdpi.com/1996-1944/15/19/6540

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