Modelling of crystallization process and optimization of the cooling strategy
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Do Yeon | - |
dc.contributor.author | Paul, Michaella | - |
dc.contributor.author | Rapke, Jens-Uwe | - |
dc.contributor.author | Wozny, Guenter | - |
dc.contributor.author | Yang, Dae Ryook | - |
dc.date.accessioned | 2021-09-08T14:15:58Z | - |
dc.date.available | 2021-09-08T14:15:58Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2009-09 | - |
dc.identifier.issn | 0256-1115 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/119460 | - |
dc.description.abstract | To obtain a uniform and large crystal in seeded batch cooling crystallization, the cooling strategy is very important. In this study, an optimal cooling strategy is obtained through simulation and compared to linear and natural cooling strategies. A model for a crystallization process in a batch reactor is constructed by using population balance equation and material balance for solution concentration, and a prediction model for meta-stable limit is formulated by the dynamic meta-stable limit approach. Based on this model, an optimal cooling strategy is obtained using genetic algorithm with the objective function of minimizing the unwanted nucleation and maximizing the crystal growth rate. From the simulation results, the product from the optimal cooling strategy showed uniform and large crystal size distribution while products from the other two strategies contained significant amount of fine particles. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.title | Modelling of crystallization process and optimization of the cooling strategy | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yang, Dae Ryook | - |
dc.identifier.doi | 10.1007/s11814-009-0207-6 | - |
dc.identifier.scopusid | 2-s2.0-77951549965 | - |
dc.identifier.wosid | 000269320800008 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.26, no.5, pp.1220 - 1225 | - |
dc.relation.isPartOf | KOREAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.citation.title | KOREAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.citation.volume | 26 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1220 | - |
dc.citation.endPage | 1225 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001368520 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Chemical | - |
dc.subject.keywordAuthor | Optimal Cooling | - |
dc.subject.keywordAuthor | Batch Crystallization | - |
dc.subject.keywordAuthor | Meta-stable Zone | - |
dc.subject.keywordAuthor | Genetic Algorithm | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.