Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO3 and Sucrose Crystallization Case Studies
In the current research work, electrical resistance tomography (ERT) was employed for monitoring and visualization of crystallization processes. A first-of-its-kind MATLAB-based interactive GUI application “ERT-Vis” is presented. Two case studies involving varied crystallization methods were underta...
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| Published in | Sensors (Basel, Switzerland) Vol. 22; no. 12; p. 4431 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
11.06.2022
MDPI |
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| Online Access | Get full text |
| ISSN | 1424-8220 1424-8220 |
| DOI | 10.3390/s22124431 |
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| Abstract | In the current research work, electrical resistance tomography (ERT) was employed for monitoring and visualization of crystallization processes. 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 were designed and performed involving calcium carbonate reactive (precipitative) crystallization for the high conductivity solution-solute media, and the cooling crystallization of sucrose representing the lower conductivity solution–solute combination. The software successfully provided key insights regarding the process in both crystallization systems. It could detect and separate the solid concentration distributions in the low as well as high conductivity solutions using the 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 by reconstructing images instantaneously, interactively visualizing, and evaluating the output of the crystallization process monitoring data. |
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| AbstractList | In the current research work, electrical resistance tomography (ERT) was employed for monitoring and visualization of crystallization processes. 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 were designed and performed involving calcium carbonate reactive (precipitative) crystallization for the high conductivity solution-solute media, and the cooling crystallization of sucrose representing the lower conductivity solution–solute combination. The software successfully provided key insights regarding the process in both crystallization systems. It could detect and separate the solid concentration distributions in the low as well as high conductivity solutions using the 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 by reconstructing images instantaneously, interactively visualizing, and evaluating the output of the crystallization process monitoring data. In the current research work, electrical resistance tomography (ERT) was employed for monitoring and visualization of crystallization processes. 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 were designed and performed involving calcium carbonate reactive (precipitative) crystallization for the high conductivity solution-solute media, and the cooling crystallization of sucrose representing the lower conductivity solution-solute combination. The software successfully provided key insights regarding the process in both crystallization systems. It could detect and separate the solid concentration distributions in the low as well as high conductivity solutions using the 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 by reconstructing images instantaneously, interactively visualizing, and evaluating the output of the crystallization process monitoring data.In the current research work, electrical resistance tomography (ERT) was employed for monitoring and visualization of crystallization processes. 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 were designed and performed involving calcium carbonate reactive (precipitative) crystallization for the high conductivity solution-solute media, and the cooling crystallization of sucrose representing the lower conductivity solution-solute combination. The software successfully provided key insights regarding the process in both crystallization systems. It could detect and separate the solid concentration distributions in the low as well as high conductivity solutions using the 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 by reconstructing images instantaneously, interactively visualizing, and evaluating the output of the crystallization process monitoring data. |
| Author | Rao, Guruprasad Koiranen, Tuomas Aghajanian, Soheil Zhang, Yuchong Jackowska-Strumiłło, Lidia Fjeld, Morten |
| AuthorAffiliation | 2 School of Engineering Science, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland; soheil.aghajanian@lut.fi (S.A.); tuomas.koiranen@lut.fi (T.K.) 3 Department of Computer Science and Engineering, Chalmers University of Technology, 41296 Göteborg, Sweden; yuchong@chalmers.se (Y.Z.); fjeld@chalmers.se (M.F.) 1 Institute of Applied Computer Sciences, Lodz University of Technology, 90-924 Lodz, Poland; guruprasad.rao@dokt.p.lodz.pl |
| AuthorAffiliation_xml | – name: 2 School of Engineering Science, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, Finland; soheil.aghajanian@lut.fi (S.A.); tuomas.koiranen@lut.fi (T.K.) – name: 1 Institute of Applied Computer Sciences, Lodz University of Technology, 90-924 Lodz, Poland; guruprasad.rao@dokt.p.lodz.pl – name: 3 Department of Computer Science and Engineering, Chalmers University of Technology, 41296 Göteborg, Sweden; yuchong@chalmers.se (Y.Z.); fjeld@chalmers.se (M.F.) |
| Author_xml | – sequence: 1 givenname: Guruprasad orcidid: 0000-0002-6591-5741 surname: Rao fullname: Rao, Guruprasad – sequence: 2 givenname: Soheil orcidid: 0000-0002-1957-072X surname: Aghajanian fullname: Aghajanian, Soheil – sequence: 3 givenname: Yuchong orcidid: 0000-0003-1804-6296 surname: Zhang fullname: Zhang, Yuchong – sequence: 4 givenname: Lidia orcidid: 0000-0002-6430-0892 surname: Jackowska-Strumiłło fullname: Jackowska-Strumiłło, Lidia – sequence: 5 givenname: Tuomas surname: Koiranen fullname: Koiranen, Tuomas – sequence: 6 givenname: Morten orcidid: 0000-0002-9562-5147 surname: Fjeld fullname: Fjeld, Morten |
| BackLink | https://research.chalmers.se/publication/531088$$DView record from Swedish Publication Index |
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| Cites_doi | 10.1002/ceat.201400203 10.1016/j.hydromet.2020.105386 10.1002/cite.201855235 10.1088/0967-3334/37/6/785 10.1108/SR-10-2019-0254 10.3390/app10113903 10.1088/0957-0233/13/12/310 10.1016/j.jfoodeng.2017.08.023 10.3390/s21020564 10.3390/cryst11030221 10.1088/0967-3334/22/1/314 10.3390/s21216995 10.1088/0967-3334/27/5/S03 10.1039/D0RE00272K 10.1016/j.powtec.2014.05.025 10.1016/j.cherd.2019.10.045 10.1016/j.foodcont.2019.02.005 10.1109/IST.2012.6295480 10.1016/j.seppur.2021.119043 10.1016/S0016-0032(24)90177-3 10.1021/acs.cgd.8b00883 10.1021/cg300547w 10.1016/j.ces.2018.06.067 10.3390/s21144766 10.3390/s22062309 10.1016/j.powtec.2022.117159 10.1016/j.nucengdes.2011.01.001 10.3390/s21216958 10.1038/s41598-018-26644-6 10.1017/9781139026949.008 10.1016/j.flowmeasinst.2015.08.001 10.1088/0957-0233/22/11/115703 10.1016/B978-0-444-63963-9.00009-9 10.1109/MCS.2006.1657878 10.1016/j.addr.2003.10.012 10.1017/CBO9781107280427 10.1016/j.softx.2018.09.005 |
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| Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022 by the authors. 2022 |
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| SubjectTerms | Algorithms Case studies Crystallization crystallization process monitoring Data processing electrical resistance tomography Electrodes Process controls Process engineering process operation Radiation Sensors Software Spectrum analysis Subject specialists Sucrose Tomography Visualization |
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| Title | Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO3 and Sucrose Crystallization Case Studies |
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