scholarly journals OVERVIEW OF THE USE OF X-RAY EQUIPMENT IN ELECTRONICS QUALITY TESTS

2021 ◽  
Vol 11 (2) ◽  
pp. 26-29
Author(s):  
Magdalena Michalska
Keyword(s):  
Computed Tomography ◽  
Image Formation ◽  
Electronics Industry ◽  
Circuit Board ◽  
Surface Mount Technology ◽  
X Ray ◽  
Surface Mount ◽  
X Ray Computed

Surface-mount technology is now widely used in the production of many components. The development of the miniaturised electronics industry forces the development of increasingly accurate inspection methods. X-ray and computed tomography are methods to accurately assess the quality of a circuit board. The article discusses the basics of image formation of the tested electronics, the development of the design of the devices used and examples of x-ray, computed tomography applications.

scholarly journals Automated evaluation of the surface point quality in dimensional X-ray computed tomography

2020 ◽  
Vol 87 (2) ◽  
pp. 111-121 ◽  
Author(s):  
Andreas Michael Müller ◽  
Lorenz Butzhammer ◽  
Florian Wohlgemuth ◽  
Tino Hausotte
Keyword(s):  
Computed Tomography ◽  
Surface Point ◽  
Random Measurement Error ◽  
X Ray ◽  
Random Measurement ◽  
Automated Evaluation ◽  
Dimensional Measurements ◽  
X Ray Computed ◽  
Model Measurement

AbstractX-ray computed tomography (CT) enables dimensional measurements of numerous measurands with a single scan, including the measurement of inner structures. However, measurement artefacts complicate the applicability of the technology in some cases. This paper presents a methodology to assess the surface point quality of computed tomography measurements without the requirement of a CAD model. Measurement artefacts lowering the surface point quality can therefore automatically be detected. The correlation of quality values with the random measurement error is demonstrated. The presented method can in principle be used to weight single fit points to reduce the measurement uncertainty of CT measurements.

scholarly journals Introduction: Advances and trends in image formation in X-ray computed tomography

2015 ◽  
Vol 42 (5) ◽  
pp. 2656-2656
Author(s):  
Frédéric Noo ◽  
Andrew Karellas
Keyword(s):  
Computed Tomography ◽  
Image Formation ◽  
X Ray ◽  
X Ray Computed

INVESTIGATION OF POLYMER COMPOSITE MATERIAL SAMPLES BY X-RAY COMPUTED TOMOGRAPHY AND PROCESSING OF TOMOGRAMS WITH THE IMAGE OF THE VOLUME FRACTION OF POROSITY

2021 ◽  
pp. 105-113
Author(s):  
A.A. Demidov ◽  
◽  
O.A. Krupnina ◽  
N.A. Mikhaylova ◽  
E.I. Kosarina ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Polymer Composite ◽  
Volume Fraction ◽  
Filter Material ◽  
Polymer Composite Material ◽  
Tomographic Images ◽  
X Ray ◽  
X Ray Computed ◽  
Porosity Volume Fraction

The question of the quality of samples made of polymer composite materials and its verification by x-ray computed tomography is considered. The capabilities of North Star Imaging X5000 tomograph were studied and the samples from PCM were examined for detection and evaluation of the porosity volume fraction. The factors influencing the accuracy of the estimation of the porosity volume fraction are investigated. Namely the size voxel, a filter material, quantity of projections. On the other hand, the size вокселя defines resolution of the digital image, the relation depends on a material of the applied filter a signal/noise, productivity of control worsens with growth of quantity of projections. The choice of optimum values of the listed parametres is necessary for satisfactory quality received tomographic images.

X-ray computed tomography: Advances in image formation

2011 ◽  
Vol 38 (S1) ◽  
pp. S1-S1
Author(s):  
Frédéric Noo ◽  
Andrew Karellas
Keyword(s):  
Computed Tomography ◽  
Image Formation ◽  
X Ray ◽  
X Ray Computed

Clear wood content in standing trees predicted from branch scar measurements with terrestrial LiDAR and verified with X-ray computed tomography

2014 ◽  
Vol 44 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Stefan M. Stängle ◽  
Franka Brüchert ◽  
Ursula Kretschmer ◽  
Heinrich Spiecker ◽  
Udo H. Sauter
Keyword(s):  
Computed Tomography ◽  
Wood Quality ◽  
European Beech ◽  
Internal Quality ◽  
Clear Wood ◽  
Terrestrial Lidar ◽  
X Ray ◽  
Standing Trees ◽  
X Ray Computed

Knowledge about the wood quality of standing trees is crucial in that it serves as an excellent means for nearly all stages of the wood-supply chain. Better information about internal wood characteristics can be derived from the outside appearance by establishing a correlation between the bark characteristics of a stem and its internal quality. This paper presents an approach where the quality determination of standing trees using a terrestrial light detection and ranging (LiDAR) system is combined with the information about internal quality of logs using X-ray computed tomography (CT). Results show a high accuracy for branch scar measurements with terrestrial LiDAR and knot measurement with CT. A strong correlation between scar seal quotient and the amount of clear wood could be confirmed using European beech (Fagus sylvatica L.) as an example. Quality grading of virtually segmented logs using terrestrial LiDAR and CT showed moderate correlation; 62.5% of the segments were allocated to the same grade by both approaches. In conclusion, terrestrial LiDAR in forest inventory could be used as an instrument to predict inner wood quality in greater detail by gathering data on the outer appearance and branch scars of standing trees. This additional knowledge has the potential to improve forest planning, bucking instructions, and a roundwood allocation that meets industry demand.

Sparsity driven deterministic sampling strategy for coded aperture X-ray Computed Tomography

2021 ◽  
Author(s):  
MUNNU SONKAR ◽  
Pradip Sasmal ◽  
Prasad Theeda ◽  
C S Sastry
Keyword(s):  
Computed Tomography ◽  
Sampling Strategy ◽  
Ct Images ◽  
Coded Aperture ◽  
Signal Recovery ◽  
X Ray ◽  
Deterministic Sampling ◽  
X Ray Computed ◽  
Unit Norm

Abstract The subsampling strategies in X-ray Computed Tomography (CT) gained importance due to their practical relevance. In this direction of research, also known as coded aperture X-ray computed tomography (CAXCT), both random and deterministic strategies were proposed in the literature. Of the techniques available, the ones based on Compressive Sensing (CS) recently gained more traction as CS based ideas efficiently exploit inherent duplication present in the system. The quality of the reconstructed CT images, nevertheless, depends on the sparse signal recovery properties (SRPs) of the sub-sampled Radon matrices. In the present work, we determine CAXCT deterministically in such a way that the corresponding sub-sampled Radon matrices remain close to the incoherent unit norm tight frames (IUNTFs) for better numerical behaviour. We show that this optimization, via Khatri-Rao product, leads to non-negative sparse approximation. While comparing and contrasting our method with its existing counterparts, we show that the proposed algorithm is computationally less involved. Finally, we demonstrate efficacy of the proposed deterministic sub-sampling strategy in recovering CT images both in noiseless and noisy cases.

An X-ray computed tomography-based index to characterize the quality of cataclastic carbonate rock samples

2011 ◽  
Vol 117 (3-4) ◽  
pp. 180-188 ◽  
Author(s):  
P. Christe ◽  
P. Turberg ◽  
V. Labiouse ◽  
R. Meuli ◽  
A. Parriaux
Keyword(s):  
Computed Tomography ◽  
Carbonate Rock ◽  
X Ray ◽  
Rock Samples ◽  
X Ray Computed
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