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Tomography Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 10711

Special Issue Editors

Prof. Dr. Dominik Sankowski

E-Mail Website
Guest Editor
Lodz University of Technology, Lodz, Poland
Interests: Industrial tomography, electrical capacitance tomography, image processing, pattern recognition, measurement of material properties at high temperature
Dr. Jacek Nowakowski

E-Mail Website
Guest Editor
Lodz University of Technology, Institute of Applied Computer Science, ul. Stefanowskiego 18/22, 90-924 Lodz, Poland
Interests: Industrial tomography, electrical capacitance tomography, multimodal tomography, industrial tomography applications, fractional calculus

Special Issue Information

Dear Colleagues,

This Special Issue intendeds to provide a comprehensive overview of the current developments in process tomography applications, including but not limiting to instrumentation design, application of different tomographic techniques, hard/soft fields, multimodalities, and the use of tomography in new areas of application. This Special Issue will publish full research articles, reviews, and highly rated manuscripts addressing the above topics.

Prof. Dr. Dominik Sankowski
Dr. Jacek Nowakowski
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tomography sensors
  • 3D tomography sensors
  • multimodality tomography
  • tomography control systems
  • industrial tomography applications

Published Papers (4 papers)

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Research

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16 pages, 5717 KiB  
Article
Enhanced Tomographic Sensing Multimodality with a Crystal Analyzer
by Alexey Buzmakov, Marina Chukalina, Irina Dyachkova, Anastasia Ingacheva, Dmitry Nikolaev, Denis Zolotov and Igor Schelokov
Sensors 2020, 20(23), 6970; https://doi.org/10.3390/s20236970 - 6 Dec 2020
Cited by 2 | Viewed by 1589
Abstract
This article demonstrates how a combination of well-known tools—a standard 2D detector (CCD (charge-coupled device) camera) and a crystal analyzer—can improve the multimodality of X-ray imaging and tomographic sensing. The use of a crystal analyzer allowed two characteristic lines of the molybdenum anode— [...] Read more.
This article demonstrates how a combination of well-known tools—a standard 2D detector (CCD (charge-coupled device) camera) and a crystal analyzer—can improve the multimodality of X-ray imaging and tomographic sensing. The use of a crystal analyzer allowed two characteristic lines of the molybdenum anode—Kα and Kβ—to be separated from the polychromatic radiation of the conventional X-ray tube. Thus, as a result of one measurement, three radiographic projections (images) were simultaneously recorded. The projection images at different wavelengths were separated in space and registered independently for further processing, which is of interest for the spectral tomography method. A projective transformation to compensate for the geometric distortions that occur during asymmetric diffraction was used. The first experimental results presented here appear promising. Full article
(This article belongs to the Special Issue Tomography Sensors)
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24 pages, 7821 KiB  
Article
Electrical Resistance Tomography for Control Applications: Quantitative Study of the Gas-Liquid Distribution inside A Cyclone
by Muhammad Awais Sattar, Matheus Martinez Garcia, Robert Banasiak, Luis M. Portela and Laurent Babout
Sensors 2020, 20(21), 6069; https://doi.org/10.3390/s20216069 - 25 Oct 2020
Cited by 9 | Viewed by 3854
Abstract
Phase separation based centrifugal forces is effective, and thus widely explored by the process industry. In an inline swirl separator, a core of the light phase is formed in the center of the device and captured further downstream. Given the inlet conditions, this [...] Read more.
Phase separation based centrifugal forces is effective, and thus widely explored by the process industry. In an inline swirl separator, a core of the light phase is formed in the center of the device and captured further downstream. Given the inlet conditions, this gas core created varies in shape and size. To predict the separation behavior and control the process in an optimal way, the gas core diameter should be measured with the minimum possible intrusiveness. Process tomography techniques such as electrical resistance tomography (ERT) allows us to measure the gas core diameter in a fast and non-intrusive way. Due to the soft-field nature and ill-posed problem in solving the inverse problem, especially in the area of low spatial resolution, the reconstructed images often overestimate the diameter of the object under consideration leading to unreliable measurements. To use ERT measurements as an input for the controller, the estimated diameters should be corrected based on secondary measurements, e.g., optical techniques such as high-speed cameras. In this context, image processing and image analysis techniques were adapted to compare the diameter calculated by an ERT system and a fast camera. In this paper, a correction method is introduced to correct the diameter obtained by ERT based on static measurements. The proposed method reduced the ERT error of dynamic measurements of the gas core size from over 300% to below 20%, making it a reliable sensing technique for controlled separation processes. Full article
(This article belongs to the Special Issue Tomography Sensors)
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16 pages, 3980 KiB  
Article
On the Use of a Rotatable ECT Sensor to Investigate Dense Phase Flow: A Feasibility Study
by Radosław Wajman, Robert Banasiak and Laurent Babout
Sensors 2020, 20(17), 4854; https://doi.org/10.3390/s20174854 - 27 Aug 2020
Cited by 22 | Viewed by 2294
Abstract
This paper presents the feasibility study of dynamic flow measurements using the concept of a rotatable electrical capacitance tomography (ECT) sensor. The experiment considered horizontal flow in a pneumatic conveying flow loop in the case of dense phase flow. Slugs and settled layers [...] Read more.
This paper presents the feasibility study of dynamic flow measurements using the concept of a rotatable electrical capacitance tomography (ECT) sensor. The experiment considered horizontal flow in a pneumatic conveying flow loop in the case of dense phase flow. Slugs and settled layers were imaged and a comparison was made between no rotation or rotation of the sensor for two image reconstruction schemas: linear back projection (LBP) and non-linear iterative back projection. Data were evaluated both qualitatively and quantitatively by estimating the solids concentration level for different hue levels. Full article
(This article belongs to the Special Issue Tomography Sensors)
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Other

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15 pages, 7150 KiB  
Letter
Experimental Investigation of the Physical Properties and Microstructure of Slate under Wetting and Drying Cycles Using Micro-CT and Ultrasonic Wave Velocity Tests
by Junwei Ma, Xiaoxu Niu, Chengren Xiong, Sha Lu, Ding Xia, Bocheng Zhang and Huiming Tang
Sensors 2020, 20(17), 4853; https://doi.org/10.3390/s20174853 - 27 Aug 2020
Cited by 17 | Viewed by 2490
Abstract
Cyclic wetting and drying processes have been considered as important factors that accelerate the weathering process and have deteriorative effects on rock properties. In the present study, a fully nondestructive and noninvasive testing approach utilizing micro-CT and ultrasonic wave velocity tests was employed [...] Read more.
Cyclic wetting and drying processes have been considered as important factors that accelerate the weathering process and have deteriorative effects on rock properties. In the present study, a fully nondestructive and noninvasive testing approach utilizing micro-CT and ultrasonic wave velocity tests was employed to investigate the microstructure of slate under wetting and drying cycles. We studied variations in the physical properties, including the dry weight and the velocities of P- and S-waves versus the number of wetting and drying cycles. The internal microstructural distributions were visualized and quantified by the 3D reconstruction and hybrid image segmentation of CT images. The degree of deterioration caused by wetting and drying cycles was reflected by exponential decreases of physical properties, including dry weight and velocities of the P- and S-waves. Parameters relating to the microfracture diameter, volume, etc. were quantified. The nondestructive and noninvasive testing approach utilizing micro-CT and ultrasonic wave velocity tests has potential for the detection and visualization of the internal microstructure of rock under wetting and drying cycles. Full article
(This article belongs to the Special Issue Tomography Sensors)
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