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Title: Comparing non-destructive 3D X-ray computed tomography with destructive optical microscopy for microstructural characterization of fiber reinforced composites

Abstract

Due to their lightweight, relatively high stiffness properties, and formability into complex shapes, discontinuous fiber composites are advantageous for producing small and medium size components. Improved characterization techniques and post-processing methodologies are required for more reliable quantification of the microstructure and defect distributions in these materials, in order to employ model-based approaches to assess their structural integrity. This work compares a non-destructive X-ray approach with a destructive optical microscopy approach for characterizing the microstructural attributes, specifically the fiber volume fraction, porosity volume fraction, fiber orientation distribution, and fiber length distribution of discontinuous glass fibers in a polypropylene matrix. Additionally, a method for destructively determining the ambiguous components of the orientation tensor (related to the sign ambiguity of the out-of-plane angle in a destructive cross-sectional cut of a fiber) over a large surface area is included. It was found that fiber volume fraction and average fiber aspect ratio matched well, while fiber orientation and porosity detection had small but notable differences. The differences in the detection capabilities of each technique are quantified and discussed shedding light on the specific advantages and disadvantages of each approach, and enabling engineers to quantify uncertainty in their microstructural characterization measurements especially as they relate tomore » model based structural integrity activities.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
U.S. Department of Defense (DOD) - Defense Advanced Research Projects Agency (DARPA); USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1618439
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Composites Science and Technology
Additional Journal Information:
Journal Volume: 184
Country of Publication:
United States
Language:
English
Subject:
Non-destructive testing; Optical microscopy; Short-fiber composites

Citation Formats

Hanhan, Imad, Agyei, Ronald, Xiao, Xianghui, and Sangid, Michael D. Comparing non-destructive 3D X-ray computed tomography with destructive optical microscopy for microstructural characterization of fiber reinforced composites. United States: N. p., 2019. Web. doi:10.1016/j.compscitech.2019.107843.
Hanhan, Imad, Agyei, Ronald, Xiao, Xianghui, & Sangid, Michael D. Comparing non-destructive 3D X-ray computed tomography with destructive optical microscopy for microstructural characterization of fiber reinforced composites. United States. https://doi.org/10.1016/j.compscitech.2019.107843
Hanhan, Imad, Agyei, Ronald, Xiao, Xianghui, and Sangid, Michael D. 2019. "Comparing non-destructive 3D X-ray computed tomography with destructive optical microscopy for microstructural characterization of fiber reinforced composites". United States. https://doi.org/10.1016/j.compscitech.2019.107843.
@article{osti_1618439,
title = {Comparing non-destructive 3D X-ray computed tomography with destructive optical microscopy for microstructural characterization of fiber reinforced composites},
author = {Hanhan, Imad and Agyei, Ronald and Xiao, Xianghui and Sangid, Michael D.},
abstractNote = {Due to their lightweight, relatively high stiffness properties, and formability into complex shapes, discontinuous fiber composites are advantageous for producing small and medium size components. Improved characterization techniques and post-processing methodologies are required for more reliable quantification of the microstructure and defect distributions in these materials, in order to employ model-based approaches to assess their structural integrity. This work compares a non-destructive X-ray approach with a destructive optical microscopy approach for characterizing the microstructural attributes, specifically the fiber volume fraction, porosity volume fraction, fiber orientation distribution, and fiber length distribution of discontinuous glass fibers in a polypropylene matrix. Additionally, a method for destructively determining the ambiguous components of the orientation tensor (related to the sign ambiguity of the out-of-plane angle in a destructive cross-sectional cut of a fiber) over a large surface area is included. It was found that fiber volume fraction and average fiber aspect ratio matched well, while fiber orientation and porosity detection had small but notable differences. The differences in the detection capabilities of each technique are quantified and discussed shedding light on the specific advantages and disadvantages of each approach, and enabling engineers to quantify uncertainty in their microstructural characterization measurements especially as they relate to model based structural integrity activities.},
doi = {10.1016/j.compscitech.2019.107843},
url = {https://www.osti.gov/biblio/1618439}, journal = {Composites Science and Technology},
number = ,
volume = 184,
place = {United States},
year = {Sun Nov 10 00:00:00 EST 2019},
month = {Sun Nov 10 00:00:00 EST 2019}
}

Works referenced in this record:

Effect of screw design on fiber damage in extrusion compounding and composite properties
journal, June 1995


A Study of Fibre Attrition in the Processing of Long Fibre Reinforced Thermoplastics
journal, November 1987


Techniques for compounding glass fiber-reinforced thermoplastics
journal, January 1977


Short predicting the strength and toughness of fiber composites
journal, December 1999


Behavior of discontinuous fiber composites: Fiber orientation
journal, January 1982


The Measurement of Porosity in Composite Materials Using Infrared Thermography
journal, December 1992


Characterization of fiber orientation in short‐fiber composites
journal, March 1984


Unambiguous orientation in short fiber composites over small sampling area in a center-gated disk
journal, January 2012


Thermoelastic properties of short-fibre-reinforced thermoplastics
journal, May 1999


Stereological measurement and error estimates for three-dimensional fiber orientation
journal, February 1992


Fiber Length and Orientation in Long-Fiber Injection-Molded Thermoplastics — Part I: Modeling of Microstructure and Elastic Properties
journal, January 2008


Tensile properties of short-glass-fiber- and short-carbon-fiber-reinforced polypropylene composites
journal, October 2000


Reliability in the characterization of fiber length distributions of injection molded long carbon fiber composites
journal, August 2017


A model for fiber length attrition in injection-molded long-fiber composites
journal, August 2013


Unambiguous Determination of 3D Fiber Orientation Distribution in Thermoplastic Composites Using SAM Image of Elliptical Mark and Interference Fringe
journal, February 2005


Characterization of fiber orientation in short fiber reinforced composites with an image processing technique
journal, September 2002


Large‐area, high‐resolution image analysis of composite materials
journal, February 1997


3d Characterization of wood Based Fibrous Materials: an Application
journal, March 2006


3d Directional Mathematical Morphology for Analysis of Fiber Orientations
journal, November 2009


Measurement of fibre–fibre contact in three-dimensional images of fibrous materials obtained from X-ray synchrotron microtomography
journal, May 2011

  • Malmberg, F.; Lindblad, J.; Östlund, C.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 637, Issue 1
  • https://doi.org/10.1016/j.nima.2011.01.080

Direct observation and measurement of fiber architecture in short fiber-polymer composite foam through micro-CT imaging
journal, October 2004


X-ray microtomography
journal, December 2010


X-ray computed tomography of polymer composites
journal, March 2018


Quantifying fibre reorientation during axial compression of a composite through time-lapse X-ray imaging and individual fibre tracking
journal, November 2018


The Use of Tensors to Describe and Predict Fiber Orientation in Short Fiber Composites
journal, November 1987


Hydrostatically extruded glass-fiber-reinforced polyoxymethylene. I: The development of fiber and matrix orientation
journal, October 1996


TomoPy: a framework for the analysis of synchrotron tomographic data
journal, August 2014


Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification
journal, March 2017


Viscosity of curved fibers in suspension
journal, January 2002


Prediction of elastic properties for curved fiber polymer composites
journal, January 2008


Works referencing / citing this record:

ModLayer: A MATLAB GUI Drawing Segmentation Tool for Visualizing and Classifying 3D Data
journal, November 2019