Advancing X-ray micro computed tomography in Africa: Going far, together

Plessis, Anton du; Roux, Stéphan; Tshibalanganda, Muofhe

doi:10.1016/j.sciaf.2019.e00061

Cited by 14 publications

(10 citation statements)

References 41 publications

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“…X-ray micro CT was performed at the Stellenbosch CT facility. 38 The scans were performed with 200 kV, 100 μA at 25 μm voxel size. A subvoxel interpolation was used for the thresholding process to find the accurate edge of the material (called an advanced surface determination, using a 4-voxel local thresholding search distance at all points along the interface between air and material), and this was used for further CT metrology measurements.…”

Section: Methodsmentioning

confidence: 99%

Dimensional metrology of additively manufactured lattice structures by combined tactile probe and X‐ray tomography

Plessis

Schwaderer²,

Cristofolini

et al. 2021

Mat Design & Process Comms

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Additive manufacturing allows high complexity of manufactured structures, permitting entirely new design capabilities. In the context of complex design, lattice structures hold the most promise for high complexity, tailorable and ultra-lightweight structures. These unique structures are suitable for various applications including light-weighting, energy absorption, vibration isolation, thermal management amongst many others. This new complexity leads to new manufacturing quality control and metrology challenges. Traditional metrology tools cannot access the entire structure, and the only reliable method to inspect the inner details of these structures is by X-ray computed tomography (CT). This work highlights the challenges of this process, demonstrating a novel workflow for dimensional metrology of coupon lattice samples-using a combination of surface and internal metrology using tactile probe and CT. This dual combined approach uses traditional surface coordinate measurement on exterior accessible surfaces, which is followed by internal lattice measurements. The results show a clear method and workflow for combining these technologies for a holistic dimensional inspection. The confidence gained by inspection of such lattice coupons will support the application of these lattices in end-use parts.

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Section: Methodsmentioning

confidence: 99%

Dimensional metrology of additively manufactured lattice structures by combined tactile probe and X‐ray tomography

Plessis

Schwaderer²,

Cristofolini

et al. 2021

Mat Design & Process Comms

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show abstract

“…Similar concepts and ways of thinking has been championed by South African researchers and partnering institutions globally [2,51,123,[219][220][221][222][223][224][225][226][227][228][229][230][231][232]. Through these efforts more than a dozen publications have emanated focusing on extrusion-based 3D concrete structures [51,229,230,232], X-ray tomography [219,222,225-227, 233,234], biomimicry in additive manufacturing [51,222,223,231] and critical reviews of AM applications in various industries [2,224].…”

Section: Additive Manufacturing In Building and Constructionmentioning

confidence: 99%

“…X-ray micro computed tomography (microCT) is a nondestructive characterization technique for structural integrity monitoring and assessment of flaws or defects in materials [123,222,226,229,234,244]. The microCT is being used to study effects of defects on mechanical property evolution of structures produced by metal laser powder bed fusion [123,222,226,229,234]. This has also resulted in authoritative review by South African researchers showing that not all defects are harmful and dependent on defect size [234].…”

Section: Additive Manufacturing and Quality Control Assessmentmentioning

confidence: 99%

Global perspective and African outlook on additive manufacturing research − an overview

et al. 2022

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Additive manufacturing (AM) technologies and advances made globally in medicine, construction, aerospace, and energy sectors are discussed. The paper further explores the current state of AM innovation and development landscape in Africa as a late comer to this area of smart manufacturing. Peer-reviewed and published literature were retrieved from Scopus database from 2005 to 2021 and analysed. In Africa, out of 500 published articles, South Africa has the highest research throughput, whereas about two-thirds of the continent is not actively participating in this burgeoning field. The main AM techniques most widely used are selective laser melting, fused deposition modelling, and direct energy deposition. Globally, there is an interplay of computational (machine learning and mechanistic models) and experimental approaches to understanding the physical metallurgy of AM techniques and processes. Though this trend is consistent with global practices, Africa lags the world in AM technologies, a niche that could leapfrog the manufacturing sector. Thus, Africa need to foster collaborative partnership within and globally to become an active global player in this industry.

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“…Geoscientists simulate fluid flow through porous media morphology [9,10], primarily using lattice Boltzmann [11], making the results depend heavily on the accuracy of pore size [12] and pore connectivity [13][14][15] images. Three hindering challenges are faced by pore network lattice Boltzmann simulators [16,17], simulation assumption limitations [18,19], high computation power when targeting better accuracy or using a more massive data set [19,20], and the resolution of the images used for extracting the pore network [21][22][23][24]. Researchers have also used deep learning, specifically the convoluted neural network (CNN) algorithm [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

3D Geometrical Untangling of Heterogeneous Fabric Darcy’s Flow using the Morphology Decoder

Alfarisi¹,

Raza²,

Zhang³

et al. 2022

Preprint

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Permeability has a dominant influence on the flow behavior of a natural fluid, and without proper quantification, biological fluids (hydrocarbons) and water resources become waste. During the first decades of the 21st century, permeability quantification from nano-microporous media images emerged, aided by 3D pore network flow simulation, primarily using the Lattice Boltzmann simulator. Earth scientists realized that the simulation process holds millions of flow dynamics calculations with accumulated errors and high computing power consumption. Therefore, accuracy and efficiency challenges obstruct planetary exploration. To efficiently and consistently predict permeability with high quality, we propose the morphology decoder. It is a parallel and serial flow reconstruction of machine learning-driven semantically segmented heterogeneous rock texture images of 3D X-ray microcomputerized tomography (µCT) and nuclear magnetic resonance (MRI). For 3D vision, we introduce a controllable measurable volume as a new supervised semantic segmentation, in which a unique set of voxel intensities corresponds to grain and pore throat sizes. The morphology decoder demarks and aggregates the morphology boundaries in a novel way to quantify permeability. The morphology decoder method consists of five novel processes described in this paper. These novel processes are (1) geometrical: 3D permeability governing equation, (2) machine learning: guided 3D property recognition of rock morphology, (3) analytical: 3D image properties integration model for permeability, (4) experimental: MRI permeability imager, and (5) morphology decoder (the process that integrates the other four novel processes).

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Advancing X-ray micro computed tomography in Africa: Going far, together

Cited by 14 publications

References 41 publications

Dimensional metrology of additively manufactured lattice structures by combined tactile probe and X‐ray tomography

Dimensional metrology of additively manufactured lattice structures by combined tactile probe and X‐ray tomography

Global perspective and African outlook on additive manufacturing research − an overview

3D Geometrical Untangling of Heterogeneous Fabric Darcy’s Flow using the Morphology Decoder

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