Evaluation of Two Noniterative Electrical Resistance Tomography (ERT) Reconstruction Algorithms for Air-Core Measurements in Hydrocyclone

Diddi, Suharika and Jampana, Phanindra Varma and Mangadoddy, Narasimha (2022) Evaluation of Two Noniterative Electrical Resistance Tomography (ERT) Reconstruction Algorithms for Air-Core Measurements in Hydrocyclone. Industrial & Engineering Chemistry Research, 61 (49). pp. 18017-18029. ISSN 0888-5885

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Air-core dynamics during the hydrocyclone operation play an essential role in determining the separation efficiency. Precise monitoring of air-core dynamics during operation can suggest possible strategies to prevent underflow discharge problems. Electrical resistance tomography (ERT) facilitates online analysis of the internal behavior of air-core, because of its high temporal resolution. Existing results for ERT-based air-core reconstructions in hydrocyclones employ general algorithms that do not utilize process knowledge. In this paper, two noniterative methods, viz., monotonicity and factorization algorithms, which are process-aware, are evaluated to estimate air-core diameters in hydrocyclone under feed pressure variations. To further investigate the performance of these algorithms, comparison studies are made with Gauss-Newton (GN) and Total Variation (TV) algorithms. Initially, the algorithms are compared on simulated phantoms for qualitative analysis and to select hyper-parameters. A threshold method is developed for quantitative analysis of experimental data to obtain a crisp radius value. The ground truth is calculated from image processing on images obtained from a video camera. It is observed that GN, monotonicity, and factorization methods result in a similar performance on the experimental data. However, for very fine meshes, monotonicity and factorization algorithms are much faster than GN and TV methods. © 2022 American Chemical Society.

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IITH Creators:
IITH CreatorsORCiD
Jampana, Phanindra Varmahttp://orcid.org/0000-0002-9678-5249
Item Type: Article
Additional Information: This research is supported by Science and Engineering Research Board (SERB Project No. CRG/2018/004892), Govt. of India.
Uncontrolled Keywords: Electric resistance; Factorization; Image reconstruction; Tomography
Subjects: Computer science > Algorithm Analysis
Chemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Ms Palak Jain
Date Deposited: 19 May 2023 12:05
Last Modified: 19 May 2023 12:05
URI: http://raiith.iith.ac.in/id/eprint/11493
Publisher URL: https://doi.org/10.1021/acs.iecr.2c02721
OA policy: https://v2.sherpa.ac.uk/id/publication/7779
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