Coplanar electrical/ultrasonic dual-modality tomography for water continuous gas/oil/water three-phase distribution imaging

This volume of Measurement Science and Technology contains a Special Feature on Industrial Vision and Automation. The special feature puts together research articles within the common denominator of Industrial Vision & Automation, especially for evaluation of various materials. This tried to demonstrate the breadth of applications for which one can use various vision systems, together with very recent research developments, some clear demonstrations of the method at work in applications and some of the necessary background theory that underpins the basic vision modalities. This special feature based on the adopted imaging methodology and the principles involved. Further articles in this Special Feature are sub-classified in to optical, thermal, X-ray and acoustical vision modalities as presented below with a brief description of the accepted manuscripts in each sub-section. Optical Vision Systems: An alternative technique is proposed to improve the visual detection rate of longitudinal conveyor belt tears by Gongxian Wang et al [1]; Automatic defect detection in multi-crystalline solar wafers using deep learning is presented by Du-Ming Tsai et al [2] Thermo-Vision Systems: An efficient denoising CAE with U-net architecture is proposed for thermal data to solve the problem of an insufficient dataset has been demonstrated in the work of Xiaoyuan Li et al [3]; Exploratory factor analysis for defect identification with active thermography is presented by Kai-Lun Huang et al [4]; X-ray Vision Systems: Coded aperture x-ray computed tomography `by sparsity-driven deterministic sampling strategy is demonstrated by Munnu Sonkar et al [5]; Acoustical Vision Systems: Phase velocity measurement of dispersive wave modes by Gaussian peak-tracing using f-k transform is presented by Bikash Ghose et al [6]; Coplanar electrical/ultrasonic dual-modality tomography for water continuous gas/oil/water three-phase distribution imaging is demonstrated by Guanghui Liang et al [7]; Defect visualization of cylindrical and conical CFRP lattice structures using rotational ultrasonic propagation imager is highlighted by J H An et al [8]; We are sure that readers will find this as a valuable special feature and a useful reference resource. Finally, we would like to thank all the authors for their contributions, the referees for their effort to thoroughly review the manuscripts by providing their valuable feedback to enhance the quality and the entire Editorial Board of Measurement Science and Technology for their constant support.

“…Coplanar electrical/ultrasonic dual-modality tomography for water continuous gas/oil/water three-phase distribution imaging is demonstrated by Liang et al [7].…”

Section: Acoustical Vision Systemsmentioning

confidence: 99%

Industrial vision and automation

Mulaveesala¹,

Arora²,

Dua³

et al. 2022

Section: Introductionmentioning

confidence: 99%

“…Electrical resistance tomography (ERT) is known as an important kind of electrical tomography (ET) technique [1][2][3][4][5][6][7]. With the advantages of simple structure, no radiation, high speed and low cost, it has shown great potential in the state monitoring and parameter measurement of conductive gas-liquid two-phase flows in industrial processes [7][8][9]. However, the traditional ERT still has some limitations: (1) it requires contact measurement, which causes polarization, electrochemical erosion and contamination of the electrodes in practical applications [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A new image reconstruction strategy for capacitively coupled electrical impedance tomography

Wu,

Jiang,

et al. 2023

Capacitively coupled electrical impedance tomography (CCEIT) is an attractive improvement of electrical resistance tomography (ERT) that offers contactless measurement and utilizes both the real and imaginary parts of the impedance for monitoring conductive gas-liquid two-phase flows in the industry. The conventional CCEIT adopts the finite element method under the benchmark of conductive liquid background to obtain the sensitivity matrices, which has been validated effective in ERT for the usage of the real part information. However, few researches on the usage of the imaginary part information of the conductive fluid have been reported. More research work should be undertaken to seek the most effective sensitivity calculation benchmark for the imaginary part utilization in CCEIT. In this work, the usage of the imaginary part information under different sensitivity calculation benchmarks is studied and a new image reconstruction strategy is proposed for CCEIT. By comparing the imaginary part sensitivity matrices and the corresponding imaging performance under different backgrounds, the benchmark that can make better use of the imaginary part information is determined. With the determined benchmark, a new image reconstruction strategy of CCEIT, which utilizes the respective effective benchmarks for the image reconstruction of the two parts of the fluid impedance, and employs a novel hybrid image fusion method to obtain the final image, is presented. Research results show that the benchmark of non-conductive gas background is more effective for the usage of the imaginary part information of the conductive gas-liquid two-phase flow. And the experimental results demonstrate the effectiveness of the proposed strategy in obtaining high-quality images. Compared with the conventional image reconstruction strategy of CCEIT, the proposed strategy has better imaging performance. This research provides valuable experience in utilizing the imaginary part information of the fluid impedance and lays a good foundation for the further development of CCEIT.

“…In the gas-liquid-solid three-phase fluidized bed, the phase mass and heat transfer, reaction rate, and safe operation are influenced by the phase distribution [1,2]. Accurately measuring the distribution of each phase in the fluidized bed is beneficial to the design and research of the fluidized bed.…”

Section: Introductionmentioning

confidence: 99%

Design and optimization of electromagnetic tomography and electrical resistance tomography dual-modality sensor

Wang

Liang

et al. 2022

Electromagnetic tomography and electrical resistance tomography (EMT/ERT) dual-modality sensors can combine the advantages of single-modality sensors and detect the distribution of a three-phase medium in a gas-liquid-solid three-phase fluidized bed containing magnetic catalyst. However, the detailed design and optimization of the structure of the EMT/ERT dual-modality sensor arranged in the same cross-section are lacking. In this paper, this problem is solved from the perspective of mutual interference with both EMT and ERT. In numerical simulations, the boundary measurement data and the quality of reconstructed images are compared between single-modality and dual-modality. It is concluded that the EMT has no interference with the ERT, whereas the EMT is interfered by the ERT with the increase of duty ratio. In addition, it is determined that the position of the center of the coil facing the center of the electrodes and the electrode duty ratio of 0.5 are the optimal dual-modality structure. A dual-modality sensor experiment is carried out, and the optimal structure of dual-modality sensor is further validated.