Compact high-resolution gamma-ray computed tomography system for multiphase flow studies

2013 ◽  
Vol 84 (3) ◽  
pp. 033106 ◽  
Author(s):  
A. Bieberle ◽  
H. Nehring ◽  
R. Berger ◽  
M. Arlit ◽  
H.-U. Härting ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Multiphase Flow ◽  
Gamma Ray ◽  
Tomography System ◽  
Gamma Ray Computed Tomography ◽  
High Resolution Gamma

Void measurement using high-resolution gamma-ray computed tomography

2011 ◽  
Vol 241 (6) ◽  
pp. 2086-2092 ◽  
Author(s):  
André Bieberle ◽  
Dietrich Hoppe ◽  
Eckhard Schleicher ◽  
Uwe Hampel
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Gamma Ray ◽  
Gamma Ray Computed Tomography ◽  
High Resolution Gamma

Measurement of Fluid Distributions in a Rotating Fluid Coupling Using High Resolution Gamma Ray Tomography

2008 ◽  
Vol 130 (9) ◽  
Author(s):  
U. Hampel ◽  
D. Hoppe ◽  
A. Bieberle ◽  
R. Kernchen ◽  
K.-H. Diele ◽  
...  
Keyword(s):  
High Resolution ◽  
Gamma Ray ◽  
Rotating Fluid ◽  
Pump Speed ◽  
Tomography System ◽  
Fluid Coupling ◽  
Gamma Ray Detector ◽  
Gamma Ray Computed Tomography ◽  
Acquisition Technique ◽  
High Resolution Gamma

Gamma ray tomography has been used to visualize fluid distributions in a rotating fluid coupling in different operation points at a pump speed of 780rpm and lower turbine speeds. The gamma ray computed tomography system comprises a Cs-137 isotopic source and a high resolution gamma ray detector. An angle synchronized tomographic data acquisition technique was applied to produce sharp slice images from different positions along the coupling axis. The data have been used to assess the hydraulic behavior of the fluid coupling and to help improve our understanding of the flow structure development and its implications on torque transfer in such a device.

High Resolution Gamma Ray Tomography and its Application to Multiphase Flow Measurement

2008 ◽  
Author(s):  
Uwe Hampel ◽  
André Bieberle ◽  
Eckhard Schleicher ◽  
Dietrich Hoppe ◽  
Cornelius Zippe ◽  
...  
Keyword(s):  
High Resolution ◽  
Multiphase Flow ◽  
Flow Measurement ◽  
Gamma Ray ◽  
High Resolution Gamma

Development of a Gamma-Ray Process Tomography System for Hydrodynamic Characterisation of Multiphase Reactors

2011 ◽  
Vol 83 ◽  
pp. 41-47 ◽  
Author(s):  
Abdullah Jaafar ◽  
Mohd Khairi Mohd Said ◽  
Nur Aira Abdul Rahman ◽  
Salzali Mohd ◽  
Mohamad Rabaie Shari ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Gamma Ray ◽  
Imaging Technique ◽  
Ct Scanner ◽  
Multiphase Reactors ◽  
Non Invasive ◽  
Tomography System ◽  
Expectation Maximisation ◽  
Gamma Ray Computed Tomography

Gamma-ray computed tomography (CT) is a powerful non-invasive imaging technique for viewing an object in 2-D or 3-D cross-section images without the need to physically section it. The invention of CT technique revolutionised the field of medical diagnostic imaging because it provides more detailed and useful information than any previous non-invasive imaging technique. The method is increasingly used in industrial fields. This paper describes the development of a gamma-ray computed tomography system for imaging and visualising of industrial multiphase reactors. The theoretical aspects of CT scanner, the system configurations and the adopted algorithm for image reconstruction are discussed. Penetrating radiation from an isotopic gamma-ray source of Cs-137 and a bank of NaI(Tl) scintillation detectors in combination with a dedicated mechanical gantry set-up were used to construct the CT system. During scanning, the movement of the detector’s bank and rotation table is controlled by a LabView-based software. The software is also designed to control all associated nuclear electronics equipments and finally to acquire gamma-ray transmission data. The image reconstruction is performed by using Expectation-Maximisation (EM) and Alternating-Maximisation (AM) algorithms written in Visual-Fortran programming language. Several physical phantoms to simulate industrial multiphase process columns and reactors were scanned using this CT scanner. Some of the reconstructed images are presented in this paper.

Simulation of a Gamma-Ray Computed Tomography System Using Two Radioisotopes for Structural Inspections: A Preliminary Study

2017 ◽  
Vol 64 (10) ◽  
pp. 2673-2677
Author(s):  
Dong-Hoon Lee ◽  
Chanwoo Park ◽  
Cheol-Ha Baek ◽  
Chaeyeong Lee ◽  
Seung-Jae Lee ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Gamma Ray ◽  
Tomography System ◽  
Preliminary Study ◽  
Gamma Ray Computed Tomography

scholarly journals Soil porosity distribution representative elementary area analyzed through gamma-ray computed tomography

2016 ◽  
Vol 30 (4) ◽  
pp. 447-456 ◽  
Author(s):  
Talita Rosas Ferreira ◽  
Luiz Fernando Pires
Keyword(s):  
Computed Tomography ◽  
Gamma Ray ◽  
Soil Porosity ◽  
Porosity Distribution ◽  
Tomography System ◽  
Computed Tomography Images ◽  
Γ Ray ◽  
Computed Tomography Image ◽  
Gamma Ray Computed Tomography ◽  
Elementary Area

Abstract This study aims to use γ-ray computed tomography images to define the representative elementary area of the soil porosity distribution. Different textured soils from Southeast Brazil and different schemes of areas were analyzed. The image acquisition was performed in 2006 using a first generation γ-ray computed tomography system equipped with 241Am radioactive source. Consecutive increasing areas located at the center (scheme 1), the inferior (scheme 2) and superior (scheme 3) borders of the sample computed tomography image, with size areas ranging from 1.2 to 678.8 mm², were selected. The full width at a half maximum parameter was used to describe the samples soil porosity distribution and mathematical analysis concepts were adopted to define the representative elementary area. The representative elementary areas found for the sandy soil (Geric Ferralsol) and clayey soils (Rhodic Ferralsol and Eutric Nitosol) were respectively: 514.3, 514.3 and 555.4 mm² (scheme 1); 279.5, 393.3 and 457.4 mm² (scheme 2); and 457.4, 457.4 and 457.4 mm² (scheme 3). The results confirmed that the representative elementary area were influenced by the soil texture and management. Different schemes were noticed to provide different representative elementary areas for the same soil, which suggests that this procedure was efficient to detect the heterogeneity inside the soil samples.

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