2017
DOI: 10.1002/2017wr021032
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Fracture network created by 3‐D printer and its validation using CT images

Abstract: Understanding flow mechanisms in fractured media is essential for geoscientific research and geological development industries. This study used 3‐D printed fracture networks in order to control the properties of fracture distributions inside the sample. The accuracy and appropriateness of creating samples by the 3‐D printer was investigated by using a X‐ray CT scanner. The CT scan images suggest that the 3‐D printer is able to reproduce complex three‐dimensional spatial distributions of fracture networks. Use … Show more

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Cited by 41 publications
(15 citation statements)
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“…Discrepancies between intended geometries and printed geometries have been also found in other studies (e.g. Suzuki et al 2017;Head and Vanorio 2016;Wicker et al 2005).…”
Section: Discussionsupporting
confidence: 75%
See 1 more Smart Citation
“…Discrepancies between intended geometries and printed geometries have been also found in other studies (e.g. Suzuki et al 2017;Head and Vanorio 2016;Wicker et al 2005).…”
Section: Discussionsupporting
confidence: 75%
“…Several studies have used 3D printing to explore flow processes at the Darcy-scale. Suzuki et al (2017) investigated single-phase flow and transport in 3D printed, discrete fracture networks. They compared tracer breakthrough curves obtained from numerical simulations with experimental results on 3D printed fracture networks.…”
Section: Introductionmentioning
confidence: 99%
“…If the 3D printer created fractures with the effective apertures, the printed fracture apertures would be 0.25 of the original sizes. On the other hand, comparison with the CT scan images (Suzuki et al 2017) indicated that the 3D printer resolution was sufficient to reproduce the fracture network. In addition, the result of the OpenFOAM model showed that the CFD type of model can reproduce the tracer response.…”
Section: Results From Equivalent Permeability Modelmentioning
confidence: 99%
“…Suzuki et al (2017) created a fracture network model with a 3D printer. The details of the fracture network model creation can be found in Suzuki et al (2017). Disc-shaped fractures were distributed randomly and evenly in the whole domain with the range of fracture length between 3.2 mm and 14.9 mm, as shown in Fig.…”
Section: D Printed Fracture Networkmentioning
confidence: 99%
“…Three-dimensional printing technology (otherwise known as additive manufacturing) can be used to replicate the internal defect structure of rock masses (Suzuki et al 2017;Kong et al 2018b;Squelch 2018;Zhu et al 2018a), something which is not possible using any previous technique for making artificial rock specimens. This technology makes possible the creation of multiple identical samples so that tests can be repeated and hence more reliable conclusions drawn.…”
Section: Three-dimensional Printing Technologymentioning
confidence: 99%