Gao HM, Fan BY, Min YX, Chang Q. Investigation on the optimized algorithm for electrostatic tomography.
THE REVIEW OF SCIENTIFIC INSTRUMENTS 2018;
89:085116. [PMID:
30184655 DOI:
10.1063/1.4993686]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 08/01/2018] [Indexed: 06/08/2023]
Abstract
Particle charging in gas-solid two-phase flow is an important concern in many industrial processes. The technique of electrostatic tomography (EST) based on particle charging can achieve flow regime identification and infer concentration and flow rate by detecting the charged particles. Successful application of EST depends on the sensitivity map and the image reconstruction algorithm. In this paper, the effects of the sensitivity map on EST were demonstrated and a novel sensitivity map was presented. Then, optimized Tikhonov iterative algorithm (ITIK) was proposed to improve the quality of EST. The simulated results illustrate that the novel sensitivity map improves the quality of the reconstructed image of EST and the optimized ITIK has better performance in reconstructing the image of EST when compared with linearized back-projection algorithm, iterative linearized back-projection algorithm, and ITIK. Finally, the experimental studies were conducted and the simulated results were validated. The results indicate that the novel sensitivity map and the optimized algorithm can enable good applications of EST in gas-solid two-phase flow measurement.
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