X-Ray Computed Tomography for Dimensional Metrology

Zanini, Filippo; Carmignato, Simone

doi:10.1007/978-981-10-4912-5_19-1

Cited by 2 publications

(2 citation statements)

References 68 publications

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“…Nondestructive testing technology, particularly industrial computed tomography (CT), holds significance in detecting internal defects and precisely measuring internal structures [6][7][8][9][10][11][12]. Schock et al [13] suggested a combination of high-resolution dual-energy X-ray micro-CT with subsequent advanced image processing steps to derive characteristic parameters for describing real porous systems.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of fluid flow behavior in steel cord with lattice Boltzmann methodology: The impacts of microstructure and loading force

Zhao,

Jin,

Fan

et al. 2024

PLoS ONE

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Steel cord materials were found to have internal porous microstructures and complex fluid flow properties. However, current studies have rarely reported the transport behavior of steel cord materials from a microscopic viewpoint. The computed tomography (CT) scanning technology and lattice Boltzmann method (LBM) were used in this study to reconstruct and compare the real three-dimensional (3D) pore structures and fluid flow in the original and tensile (by loading 800 N force) steel cord samples. The pore-scale LBM results showed that fluid velocities increased as displacement differential pressure increased in both the original and tensile steel cord samples, but with two different critical values of 3.3273 Pa and 2.6122 Pa, respectively. The original steel cord sample had higher maximal and average seepage velocities at the 1/2 sections of 3D construction images than the tensile steel cord sample. These phenomena should be attributed to the fact that when the original steel cord sample was stretched, its porosity decreased, pore radius increased, flow channel connectivity improved, and thus flow velocity increased. Moreover, when the internal porosity of tensile steel cord sample was increased by 1 time, lead the maximum velocity to increase by 1.52 times, and the average velocity was increased by 1.66 times. Furthermore, when the density range was determined to be 0–38, the pore phase showed the best consistency with the segmentation area. Depending on the Zou-He Boundary and Regularized Boundary, the relative error of simulated average velocities was only 0.2602 percent.

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Section: Introductionmentioning

confidence: 99%

Numerical investigation of fluid flow behavior in steel cord with lattice Boltzmann methodology: The impacts of microstructure and loading force

Zhao,

Jin,

Fan

et al. 2024

PLoS ONE

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“…X-ray CT is an optimal technique to provide dimensional metrology of complex small-scale structures, such as those produced by additive manufacturing, due to its capability to nondestructively measure internal features and multimaterial components [9,10,13,14]. X-ray CT is mainly used in the following fields: medical imaging, material analysis, and recently dimensional metrology [9,10,13,[15][16][17][18][19]. However, the use of X-ray CT in manufacturing metrology has been limited due (1) to a lack of international standards for metrological testing and uncertainty assessment [13] and (2) an often significant and poorly understood level of variability in the metrology results at the micro/ nanoscale.…”

Section: Introductionmentioning

confidence: 99%

A Systems Approach to Estimating the Uncertainty Limits of X-Ray Radiographic Metrology

Panas

Cuadra

Mohan

et al. 2021

Journal of Micro and Nano-Manufacturing

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Micro- and nano-manufacturing capabilities have rapidly expanded over the past decade to include complex 3d structure fabrication; however, the metrology required to accurately assess these processes via part inspection and characterization has struggled to keep pace. X-ray Computed Tomography (XCT) is considered an ideal candidate for providing the critically needed metrology on the smallest scales, especially internal features or inaccessible regions. XCT supporting micro- and nano-manufacturing often push against the poorly understood resolution and variation limits inherent to the machines which can distort or hide fine structures. We develop and experimentally verify a comprehensive analytical uncertainty propagation Signal Variation Flow Graph (SVFG) model for X-ray radiography in this work to better understand resolution and image variability limits on the small scale. The SVFG approach captures, quantifies and predicts variations occurring in the system that limit metrology capabilities, particularly in the micro/nano domain. This work is the first step to achieving full uncertainty modeling of computed tomography (CT) reconstructions and provides insight into improving X-ray attenuation imaging systems. The SVFG methodology framework is applied to generate a complete basis set of functions describing the major sources of variation in radiographs. Five models are identified, covering variation in Energy (0DE), Intensity (0DI), Length (1DL), Blur (1DB), and Position (2DP). Radiographic system experiments are defined to measure the parameters required by the SVFGs. Best practices are identified for these measurements. The SVFG models are confirmed via direct measurement of variation to predict variation within 30% on average.

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X-Ray Computed Tomography for Dimensional Metrology

Cited by 2 publications

References 68 publications

Numerical investigation of fluid flow behavior in steel cord with lattice Boltzmann methodology: The impacts of microstructure and loading force

Numerical investigation of fluid flow behavior in steel cord with lattice Boltzmann methodology: The impacts of microstructure and loading force

A Systems Approach to Estimating the Uncertainty Limits of X-Ray Radiographic Metrology

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