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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Rapid online calibration for ATR-FTIR spectroscopy during batch crystallization of ammonium sulphate in a semi-industrial scale crystallizer
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Rapid online calibration for ATR-FTIR spectroscopy during batch crystallization of ammonium sulphate in a semi-industrial scale crystallizer

机译:半工业规模结晶器中硫酸铵批量结晶过程中ATR-FTIR光谱的快速在线校准

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摘要

The knowledge of solute concentration throughout a batch crystallization process is essential from process control perspective. Despite the progress in process analytical technology (PAT), there still exist several challenges for online measurement of solute concentration at industrial scale. In this study, concentration monitoring was realized using attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy at lab as well as semi-industrial scale. Applications of the calibration model developed at lab scale for the measurements at the semi-industrial scale however resulted into strongly biased concentration predictions, caused by the differences in the curvature of fiber optics and the uneven thermal expansion of the probe. Therefore an alternative rapid online calibration method was developed during the start-up phase of the process. With this method, the time required for developing a working calibration model for concentration monitoring during crystallization of ammonium sulphate in a semi-industrial scale draft tube crystallizer has been reduced approximately by 90%. With the help of simultaneous concentration and crystal size distribution measurements at semi-industrial scale, the descriptive capability of the model was improved due to better kinetic parameters.
机译:从过程控制的角度来看,整个批结晶过程中溶质浓度的知识至关重要。尽管过程分析技术(PAT)取得了进步,但在工业规模上在线测量溶质浓度仍然存在一些挑战。在这项研究中,在实验室以及半工业规模使用衰减全反射傅立叶变换红外(ATR-FTIR)光谱仪实现了浓度监测。然而,由于光纤曲率的差异和探头的热膨胀不均匀,在实验室规模开发的用于半工业规模测量的校准模型的应用导致浓度预测出现严重偏差。因此,在该过程的启动阶段开发了一种替代的快速在线校准方法。使用这种方法,在半工业规模的尾水管结晶器中开发硫酸铵结晶期间进行浓度监控的工作校准模型所需的时间已减少了大约90%。借助于在半工业规模上同时进行的浓度和晶体尺寸分布测量,该模型的描述能力由于更好的动力学参数而得以改善。

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