Published March 2021 | Version v1
Journal article

Characterization of air-void systems in 3D printed cementitious materials using optical image scanning and X-ray computed tomography

  • 1. Microlab, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, Delft, 2628CN (Netherlands)

Description

Highlights: • The air void system of 3D printed cementitious materials was characterized. • The content, distribution, size and shape of air void in printed samples were studied. • A comparison between optical image scanning and X-ray computed tomography was given. • Possible reasons for air void formation in printed cementitious materials were given. For many 3D printed cementitious materials, air voids may play a dominant role in the interlayer bond strength. However, to date, far too little attention has been paid to reveal the air void characteristics in 3D printed cementitious materials. Therefore, to fill this gap, this study attempts to provide an example of systematically characterizing the typical air void system of 3D printed cementitious materials via different image acquisition and analysis techniques. Two printable limestone and calcined clay-based mixtures were employed to prepare the printed samples. The micrographs were acquired by using optical image scanning and X-ray computed tomography. Afterwards, air void metrics in printed cementitious materials were determined, i.e., content, distribution, size, and shape. The results revealed that most of the air voids with the diameter in the range of 10–1000 μm were distributed evenly in the layer region of printed samples. Large air voids (1000–6000 μm) were enclosed mainly between the printed filaments (interface region), which resulted in the relatively higher local porosity than that of layer region. Additionally, the majority of air voids displayed irregular and elongated shapes, which could be attributed to the extrusion and layer-wise manufacturing processes in 3D printing. Finally, a comparison between optical image scanning and X-ray computed tomography was given.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.matchar.2021.110948

Additional details

Identifiers

DOI
10.1016/j.matchar.2021.110948;
PII
S1044580321000784;

Publishing Information

Journal Title
Materials Characterization
Journal Volume
173
Journal Page Range
vp.
ISSN
1044-5803
CODEN
MACHEX

Optional Information

Copyright
Copyright (c) 2021 The Authors. Published by Elsevier Inc.