Concentration profiles of dry powders in a gravity conveyor using an electrodynamic tomography system

Green, R G; Rahmat, M. F.; Evans, Kristine O.; Goude, Anders; Henry, Manus; Stone, Joseph

doi:10.1088/0957-0233/8/2/014

Cited by 48 publications

(31 citation statements)

References 10 publications

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“…Besides ECT, there are many different types of tomographic techniques such as Electrical impedance tomography (EIT), optical tomography and Electrostatic Tomography [46]. "Procee tomography" uses an array of sensors mounted on the boundary of a vessel or a pipe to detect the pixel flow concentration and velocity in process.…”

Section: Est (Electrostatic Tomography)mentioning

confidence: 99%

Air-Solids Flow Measurement Using Electrostatic Techniques

Zhang¹

2012

Electrostatics

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Section: Est (Electrostatic Tomography)mentioning

confidence: 99%

Air-Solids Flow Measurement Using Electrostatic Techniques

Zhang¹

2012

Electrostatics

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“…3 (d). It is evident that the wire-mesh sensor has a higher and more uniform sensitivity distribution than other forms of electrostatic sensor [12]. …”

Section: Sensor Design and Characterizationmentioning

confidence: 97%

“…As a noninvasive tomography method, electrostatic tomography (EST) was applied to visualize the flow pattern and reconstruct the charge distribution in the pneumatic conveying pipeline [12][13][14][15]. A 16-electrode system was applied by Green et al to reconstruct the concentration profile in a gravity conveyer [12].…”

Section: Introductionmentioning

confidence: 99%

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Charge distribution reconstruction in a bubbling fluidized bed using a wire-mesh electrostatic sensor

Zhang

Yang

Qian

et al. 2016

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings

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Abstract-The presence of electrostatic charge in a bubbling fluidized bed influences the operation of the bed. In order to maintain an effective operation, the electrostatic charges in different positions of the bed should be monitored. In this paper a wire-mesh electrostatic sensor is introduced to reconstruct the charge distribution in a bubbling fluidized bed. The wire-mesh sensor is fabricated by two mutually perpendicular strands of insulated wires. A Finite Element Model is built to analyze the sensing characteristics of the sensor. The sensitivity distributions of each wire electrode and the whole sensor are obtained from the model, which proves that wire-mesh electrostatic sensor has a higher and more uniform sensitivity distribution than single wire sensors. Experiments were conducted in a gravity drop test rig to validate the reconstruction method. Experimental results show that the charge distribution can be reconstructed when sand particles pass through the cross section of the sensor.

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“…When rubbed, the particle is known as 'frictional electrification' or 'tribo-charging' (Matsusaka and Masuda, 2003). This phenomenon is commonly a nuisance (Nifuku et al, 1989) and can become a source of explosion hazard (Zhang et al, 2008), However, various applications such as electro photography (Schein, 1999), dry powder coating (Bailey, 1998), powder flow measurement (Masuda et al, 1998) and tomography (Green et al, 1997;Yan and Byrne, 1997;Machida and Scarlett, 2005) have been developed as a result of this phenomenon. In tomography, this charge is carried by particles.…”

Section: Electrodynamics Sensormentioning

confidence: 99%

Image Reconstruction Algorithm for Electrical Charge Tomography System

Rahmat¹,

Isa²,

Jusoff³

et al. 2010

American Journal of Applied Sciences

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Problem statement: Many problems in scientific computing can be formulated as inverse problem. A vast majority of these problems are ill-posed problems. In Electrical Charge Tomography (EChT), normally the sensitivity matrix generated from forward modeling is very ill-condition. This condition posts difficulties to the inverse problem solution especially in the accuracy and stability of the image being reconstructed. The objective of this study is to reconstruct the image cross-section of the material in pipeline gravity dropped mode conveyor as well to solve the ill-condition of matrix sensitivity. Approach: Least Square with Regularization (LSR) method had been introduced to reconstruct the image and the electrodynamics sensor was used to capture the data that installed around the pipe. Results: The images were validated using digital imaging technique and Singular Value Decomposition (SVD) method. The results showed that image reconstructed by this method produces a good promise in terms of accuracy and stability. Conclusion: This implied that LSR method provides good and promising result in terms of accuracy and stability of the image being reconstructed. As a result, an efficient method for electrical charge tomography image reconstruction has been introduced.

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Concentration profiles of dry powders in a gravity conveyor using an electrodynamic tomography system

Cited by 48 publications

References 10 publications

Air-Solids Flow Measurement Using Electrostatic Techniques

Air-Solids Flow Measurement Using Electrostatic Techniques

Charge distribution reconstruction in a bubbling fluidized bed using a wire-mesh electrostatic sensor

Image Reconstruction Algorithm for Electrical Charge Tomography System

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