Evaluation of the standard measurement uncertainty due to the ISO50 surface determination method for dimensional computed tomography

Lifton, Joseph; Liu, T.

doi:10.1016/j.precisioneng.2019.10.004

Cited by 36 publications

(19 citation statements)

References 14 publications

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“…However, the majority of research has focused on methods for measuring and decreasing noise, and there has been little research regarding the contribution of noise to measurement uncertainty. Although the volume of research is small, some researchers have studied how noise affects uncertainty of different type of measurements and proposed different ways to estimate its contribution [21,50,51,55,117,121,124].…”

Section: Discussionmentioning

confidence: 99%

“…Lifton et al [124] proposed a method to evaluate the standard measurement uncertainty resulting from a specific surface determination method (ISO-50). The ISO-50 surface determination method is the first segmentation algorithm implemented in dimensional XCT and is based on the establishment of the peak voxel grey value of the background and material in the XCT histogram [125].…”

Section: Recent Work On Uncertainty and Noisementioning

confidence: 99%

“…The presence of noise, beam hardening, scattering and imaging artefacts implies that neither background nor object have a constant grey value, but a range of grey values (see Figure 4). Lifton et al [124] used the standard deviation of both material and background grey levels to evaluate the standard uncertainty due to the surface determination using the ISO-50 algorithm for both Gaussian and non-Gaussian peak fits. This technique is an alternative method for assessing the contribution from noise (as well as other imaging artefacts) to XCT measurement uncertainty without calculating noise specifically.…”

Section: Recent Work On Uncertainty and Noisementioning

confidence: 99%

“…and are the background and material modal grey value, respectively; , the ISO-50 threshold and , the standard deviation for the three distributions. Reproduced with permission from [124].…”

Section: Recent Work On Uncertainty and Noisementioning

confidence: 99%

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Review of the influence of noise in X-ray computed tomography measurement uncertainty

Rodríguez-Sánchez

Thompson

Körner

et al. 2020

Precision Engineering

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Different aspects of noise in X-ray computed tomography (XCT) for industrial purposes are examined. An overview of the most common noise metrics is given, together with a description of XCT noise influence quantities. We address the current state of the art in understanding the contribution of noise to XCT measurement uncertainty, giving a chronological view of the different attempts that have been made to account for the contribution from noise to XCT measurement uncertainty. We conclude that approaches to estimating the contribution of noise to XCT measurement uncertainty that account for not only noise, but also other factors that affect image quality (e.g., scattering, beam hardening and blurring) are preferable to approaches that only account for noise.

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Section: Discussionmentioning

confidence: 99%

Section: Recent Work On Uncertainty and Noisementioning

confidence: 99%

Section: Recent Work On Uncertainty and Noisementioning

confidence: 99%

“…and are the background and material modal grey value, respectively; , the ISO-50 threshold and , the standard deviation for the three distributions. Reproduced with permission from [124].…”

Section: Recent Work On Uncertainty and Noisementioning

confidence: 99%

See 2 more Smart Citations

Review of the influence of noise in X-ray computed tomography measurement uncertainty

Rodríguez-Sánchez

Thompson

Körner

et al. 2020

Precision Engineering

View full text Add to dashboard Cite

show abstract

“…Since beam hardening artefacts are considered to be one of the most significant influence parameters in CT measuring, their influence on the 2D image quality has to be eliminated or compensated. How the determination of a border between the material and background, or a border between two different materials, influences the measurement uncertainty is explained in more detail by Lifton and Liu in [12]. For beam hardening correction, several methods are suggested: scanning with a monochromatic X-ray, using different types of physical filters in order to limit the X-ray spectra, scanning with dual energy and using linearization methods based on polynomial curves.…”

Section: Beam Hardening Artefactmentioning

confidence: 99%

Image Artefacts in Industrial Computed Tomography

Novák

Runje

Keran

et al. 2020

Teh. glas. (Online)

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Computed tomography is a method that has been used for many years in medicine and material analysis, and recently it has also been introduced in dimensional measurements. The method has a lot of advantages compared to other 3D measurement methods, with the largest one being the possibility to perform a non-destructive measurement of an object’s inner geometry. However, it is a complex method with a large number of parameters that influence measurement results. Some of these parameters are image artefacts that occur in the scanning and reconstruction process. An artefact is any artificial feature which appears on the CT image, but does not correspond to the physical feature of an object. In order to achieve metrological traceability, it is necessary to eliminate and minimize the influence of image artefacts on measurement results. This paper presents and explains image artefacts in industrial computed tomography as the consequences of different influence parameters in the CT system.

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Effect of Process Variables on Microstructure, Flow, and Tensile Properties of Nickel‐Based Superalloys with Designed Porous Structures Manufactured by Laser‐Based Powder Bed Fusion

2023

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The nickel‐based superalloys Haynes 282 and Inconel 625 are processed using laser‐based powder bed fusion of metals (PBF‐LB/M) to manufacture designed materials (DMs) with configurable open‐porous morphology. Such structures can be utilized in large gas turbines, for example, as high‐frequency dampers, heat exchangers, and for transpiration cooling features. This research investigates the effects of the applied volume energy input and laser deflection angle (as calculated by position) on the macro‐ and microstructure and tensile and flow properties of DMs made from Haynes 282. Furthermore, a novel combination of DMs and cubic lattice structures made from Inconel 625 has been investigated regarding potential improvements. The substantial interface between the two features, DM and lattice structure, is visually analyzed using microcomputed tomography. The analysis of the hierarchical DMs reveals that the combination of lattice structures and DMs is manufacturable and has benefits in terms of mechanical strength while having less significant effects on flow properties.

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Evaluation of the standard measurement uncertainty due to the ISO50 surface determination method for dimensional computed tomography

Cited by 36 publications

References 14 publications

Review of the influence of noise in X-ray computed tomography measurement uncertainty

Review of the influence of noise in X-ray computed tomography measurement uncertainty

Image Artefacts in Industrial Computed Tomography

Effect of Process Variables on Microstructure, Flow, and Tensile Properties of Nickel‐Based Superalloys with Designed Porous Structures Manufactured by Laser‐Based Powder Bed Fusion

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