姜晓滨

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:化工学院副院长

其他任职:辽宁省石化行业高效节能分离技术工程实验室副主任

性别:男

毕业院校:天津大学

学位:博士

所在单位:化工学院

学科:化学工程. 膜科学与技术. 水科学与技术

办公地点:大连理工大学西部校区化工实验楼D405

联系方式:Tel:0411-84986291

电子邮箱:xbjiang@dlut.edu.cn

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Comparative study on ATR-FTIR calibration models for monitoring solution concentration in cooling crystallization

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论文类型:期刊论文

发表时间:2017-02-01

发表刊物:JOURNAL OF CRYSTAL GROWTH

收录刊物:SCIE、EI

卷号:459

页面范围:50-55

ISSN号:0022-0248

关键字:Solution concentration; Cooling crystallization; ATR-FTIR spectra; Model calibration; Metastable zone; L-glutamic acid

摘要:In this paper calibration model building based on using an ATR-FTIR spectroscopy is investigated for in-situ measurement of the solution concentration during a cooling crystallization process. The cooling crystallization of L-glutamic Acid (LGA) as a case is studied here. It was found that using the metastable zone (MSZ) data for model calibration can guarantee the prediction accuracy for monitoring the operating window of cooling crystallization, compared to the usage of undersaturated zone (USZ) spectra for model building as traditionally practiced. Calibration experiments were made for LGA solution under different concentrations. Four candidate calibration models were established using different zone data for comparison, by using a multivariate partial least-squares (PLS) regression algorithm for the collected spectra together with the corresponding temperature values. Experiments under different process conditions including the changes of solution concentration and operating temperature were conducted. The results indicate that using the MSZ spectra for model calibration can give more accurate prediction of the solution concentration during the crystallization process, while maintaining accuracy in changing the operating temperature. The primary reason of prediction error was clarified as spectral nonlinearity for in-situ measurement between USZ and MSZ. In addition, an LGA cooling crystallization experiment was performed to verify the sensitivity of these calibration models for monitoring the crystal growth process.