Vol.131, No.1, 2022, pp.465-476, doi:10.32604/cmes.2022.018965
OPEN ACCESS
ARTICLE
Visualization Detection of Solid–Liquid Two-Phase Flow in Filling Pipeline by Electrical Capacitance Tomography Technology
  • Ningbo Jing1, Mingqiao Li1, Lang Liu2,*, Yutong Shen1, Peijiao Yang1, Xuebin Qin1
1 College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China
2 College of Energy Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China
* Corresponding Author: Lang Liu. Email:
(This article belongs to this Special Issue: Mechanical Reliability of Advanced Materials and Structures for Harsh Applications)
Received 26 August 2021; Accepted 15 October 2021; Issue published 24 January 2022
Abstract
During mine filling, the caking in the pipeline and the waste rock in the filling slurry may cause serious safety accidents such as pipe blocking or explosion. Therefore, the visualization of the inner mine filling of the solid–liquid two-phase flow in the pipeline is important. This paper proposes a method based on capacitance tomography for the visualization of the solid–liquid distribution on the section of a filling pipe. A feedback network is used for electrical capacitance tomography reconstruction. This reconstruction method uses radial basis function neural network fitting to determine the relationship between the capacitance vector and medium distribution error. In the reconstruction process, the error in the linear back projection is removed; thus, the reconstruction problem becomes an accurate linear problem. The simulation results show that the reconstruction accuracy of this algorithm is better than that of many traditional algorithms; furthermore, the reconstructed image artifacts are fewer, and the phase distribution boundary is clearer. This method can help determine the location and size of the caking and waste rock in the cross section of the pipeline more accurately and has great application prospects in the visualization of filling pipelines in mines.
Keywords
Electrical capacitance tomography; mine backfilling; visualization detection; image reconstruction; radial basis function neural network
Cite This Article
Jing, N., Li, M., Liu, L., Shen, Y., Yang, P. et al. (2022). Visualization Detection of Solid–Liquid Two-Phase Flow in Filling Pipeline by Electrical Capacitance Tomography Technology. CMES-Computer Modeling in Engineering & Sciences, 131(1), 465–476.
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