Dual Modality Tomography System Using Optical and Electrodynamic Sensors for Tomographic Imaging Solid Flow

Rahmat, M. F.; Ibrahim, Suhaimi; Elmajri, Mustafa Musbah; Mohammed, Nabil; Isa, Mohd Daud

doi:10.21307/ijssis-2017-399

Cited by 2 publications

(1 citation statement)

References 11 publications

(12 reference statements)

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“…However, when charged particles travel through the sensing area where the electrostatic sensors are installed, an erratic electrostatic field is created by the charges on the particles, leading to induced charges on the sensors. Consequently, the flow parameters, such as velocity, mass flow rate, size and tomographic images of the particles can be obtained by using suitable electrostatic sensors in combination with appropriate signal processing and analyzing equipments and technologies (Intra and Tippayawong, 2008; Yan et al , 1995; Rahmat et al , 2009b, 2010b, c).…”

Section: Introductionmentioning

confidence: 99%

2‐D finite‐element modeling of electrostatic sensor for tomography system

Thuku

Rahmat²,

Wahab³

et al. 2013

Sensor Review

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Purpose -Circular pipelines are mostly used for pneumatic conveyance in industrial processes. For optimum and efficient production in industries that use a pipeline for conveyance, tomographic image of the transport particles is paramount. Sensing mechanism plays a vital role in process tomography. The purpose of this paper is to present a two-dimensional (2-D) model for sensing the characteristics of electrostatic sensors for electrical charge tomography system. The proposed model uses the finite-element method. Design/methodology/approach -The domain is discretized into discrete shapes, called finite elements, by using a MATLAB. Each of these elements is taken as image pixels, on which the electric charges carried by conveyed particles are transformed into equations. The charges' interaction and the sensors installed around the circumference, at the sensing zone of the conveying pipeline are related by the proposed model equations. A matrix compression technique was also introduced to solve the problem of unevenly sensing characteristics of the sensors due to elements' number's concentration. The model equations were used to simulate the modeled electrostatic charge distribution carried by the particles moving in the pipeline. Findings -The simulated results show that the proposed sensors are highly sensitive to electrostatic charge at any position in the sensing zone, thereby making it a good candidate for tomographic image reconstruction. Originality/value -Tomographic imaging using finite element method is found to be more accurate and reliable compared to linear and filtered back projection method.

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Section: Introductionmentioning

confidence: 99%

2‐D finite‐element modeling of electrostatic sensor for tomography system

Thuku

Rahmat²,

Wahab³

et al. 2013

Sensor Review

View full text Add to dashboard Cite

show abstract

Image Fusion for Electrodynamics and Optical Dual Mode Tomography System

et al. 2015

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In this paper, a novel fuzzy fusion method is proposed to combine the images obtained from dual modality (optical and electrodynamics) tomography sensors. The fuzzy rules designed are based on the features of each single mode sensor. Furthermore, the outcome of the proposed method is compared with the two mostly common image fusion methods; principal component analysis (PCA) and discrete wavelet transform (DWT). The fused image results of half flow and full flow solid/gas laboratory phantoms are presented in this paper. Matlab software was used to visualize and analyze the combined images. The results show that the proposed method has produces superior improvement in the quality of fused image for optical and electrodynamics dual mode tomography applications in the case of solid/gas flow.

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Dual Modality Tomography System Using Optical and Electrodynamic Sensors for Tomographic Imaging Solid Flow

Abstract: Abstract-Process tomography is a technique to realize flow imaging in a process

Cited by 2 publications

References 11 publications

2‐D finite‐element modeling of electrostatic sensor for tomography system

2‐D finite‐element modeling of electrostatic sensor for tomography system

Image Fusion for Electrodynamics and Optical Dual Mode Tomography System

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