Experimental investigation of surface determination process on multi-material components for dimensional computed tomography

Oliveira, Fabrício Borges de; Stolfi, Alessandro; Bartscher, Markus; Chiffre, Leonardo De; Neuschaefer-Rube, Ulrich

doi:10.1016/j.csndt.2016.04.003

Cited by 43 publications

(21 citation statements)

References 5 publications

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“…This threshold value is then used to differentiate the material voxels from the background voxels. More advanced local adaptive methods are nowadays available to distinguish between the object materials and the air [16,[19][20][21]. The boundaries of the volume representing the surfaces are converted into a polygonal mesh using the marching cubes algorithm [22] or its variants.…”

Section: Basic Principle Of Xct Measurementmentioning

confidence: 99%

Surface texture evaluation of additively manufactured metallic cellular scaffolds for acetabular implants using X-ray computed tomography

et al. 2019

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The surface topography of acetabular implants plays a key role in providing cell attachment and proliferation. The measurement and characterisation of the surface texture of the cellular scaffold layer on the acetabular cup are very difficult due to the 3D nature of scaffold geometry. It is proposed to use X-ray computed tomography (XCT) to measure the surface texture of an electron beam melting-produced titanium acetabular cup. The surface texture of its cellular scaffold is evaluated using the newly developed 3D surface texture parameters, which allows surface characterisation on 3D triangular mesh surfaces. Four commonly used height parameters, i.e. the arithmetical mean height Sa, the root mean square height Sq, the skewness Ssk and the kurtosis Sku, are calculated from surface patches extracted from the XCT scanned triangular mesh surface. In addition, the surface peak density and pit density, which are more related to cell communication and proliferation, are estimated based on the 3D watershed segmentation. The Wolf pruning with an empirical threshold 12 µm is used to control the over-segmentation.

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Section: Basic Principle Of Xct Measurementmentioning

confidence: 99%

Surface texture evaluation of additively manufactured metallic cellular scaffolds for acetabular implants using X-ray computed tomography

et al. 2019

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“…XCT surface determination defines the boundary between the component material and the background (usually air) based on the XCT image grey scale (density) values. The surface determination methods employed to determine which grey scale value is appropriate have been shown to have a significant effect on dimensional information extracted from XCT volume data [6,9]. Here we apply four surface determination techniques to extract the surface (and subsequently generate and compare areal parameter data) from a metal Rubert comparator plate.…”

Section: Xct Surface Determinationmentioning

confidence: 99%

Factors affecting the accuracy of areal surface texture data extraction from X-ray CT

et al. 2017

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The ability to perform non-destructive areal surface analysis of the internal surfaces of additively manufactured (AM) components would be advantageous during product development, process control and product acceptance. Currently industrial X-ray computed tomography (XCT) is the only practical method for imaging the internal surfaces of AM components. A viable method of extracting useable areal surface texture data from XCT scans has now been developed and this paper reports on three measurement and data processing factors affecting the value of areal parameters per ISO 25178-2 generated from XCT volume data using this novel technique. X-ray, Metrology, Additive manufacturing 2.1. Measurement plates Individual rectangular plates, approximately 10 mm x 20 mm, were cut from a Rubert Microsurf 334 (casting) test panel. The casting panel was used as this surface was considered to most closely represent the surface of a powder bed fusion (PBF) metal AM component. The nominal surface Ra values for the plates used for this work were 50 µm and 25 µm as these approximate the as-Contents lists available at SciVerse ScienceDirect

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“…Surface determination was based on a local thresholding method implemented in VG studio Max 2.2.6. This method currently represents the state-ofthe-art tool for segmenting CT data sets allowing to reach about 1/10 of a voxel in terms of measurement uncertainty [5]. The surface was done by manually selecting the grey values belonging to the battery holder on the reconstructed images from different views.…”

Section: Measurements On Ct Scannermentioning

confidence: 99%

Tolerance Verification of an Industrial Assembly Using Computed Tomography

Stolfi¹,

Chiffre²,

Regi³

2016

4m/Iwmf2016 the Global Conference on Micro Manufacture : Incorporating the 11th International Conference on Multi-Material Micr

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This paper reports on results of tolerance verification of a multi-material assembly by using Computed Tomography (CT). The workpiece comprises three parts which are made out of different materials. Five different measurands were inspected. The calculation of measurement uncertainties was attempted by way of a ball plate. Comparison between CT and results from a traditional coordinate measuring machine was also involved in this study.

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Experimental investigation of surface determination process on multi-material components for dimensional computed tomography

Cited by 43 publications

References 5 publications

Surface texture evaluation of additively manufactured metallic cellular scaffolds for acetabular implants using X-ray computed tomography

Surface texture evaluation of additively manufactured metallic cellular scaffolds for acetabular implants using X-ray computed tomography

Factors affecting the accuracy of areal surface texture data extraction from X-ray CT

Tolerance Verification of an Industrial Assembly Using Computed Tomography

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