Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO3 and Sucrose Crystallization Case Studies

Guruprasad Rao
ORCID logo ,
Soheil Aghajanian
ORCID logo ,
Yuchong Zhang
ORCID logo ,
Lidia Jackowska Strumillo
* ,
Tuomas Koiranen
,
Morten Fjeld
ORCID logo
Version 1 : Received: 30 April 2022 / Approved: 6 May 2022 / Online: 6 May 2022 (10:20:02 CEST)

A peer-reviewed article of this Preprint also exists.

Rao, G.; Aghajanian, S.; Zhang, Y.; Jackowska-Strumiłło, L.; Koiranen, T.; Fjeld, M. Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO3 and Sucrose Crystallization Case Studies. Sensors 2022, 22, 4431. Rao, G.; Aghajanian, S.; Zhang, Y.; Jackowska-Strumiłło, L.; Koiranen, T.; Fjeld, M. Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO3 and Sucrose Crystallization Case Studies. Sensors 2022, 22, 4431.

Abstract

In the current research work, electrical resistance tomography (ERT) was employed for crystallization process monitoring and visualization. A first-of-its-kind MATLAB-based interactive GUI application “ERT-Vis” is presented. Two case studies involving varied crystallization methods were undertaken. The experiments involving calcium carbonate reactive (precipitative) crystallization for the high conductivity solution-solute media and the cooling crystallization for sucrose crystallization representing the lower conductivity solution-solute combination were designed and performed. The software successfully provided key insights regarding the process progress in both crystallization systems. It could detect and separate the crystal agglomerations in the low as well as high conductivity solutions using visual analytics tools provided. The performance and utility of the software were studied using a software evaluation case study involving domain experts. Participant feedback indicated that ERT-Vis software helps in reconstructing images instantaneously, interactively visualizing, and evaluating the output of the crystallization process monitoring data.

Keywords

Electrical Resistance Tomography; Visualization; Crystallization process monitoring; process operation

Subject

Engineering, Industrial and Manufacturing Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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