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- W2786371475 abstract "The control of batch crystallizers is an intensively investigated topic as suitable crystallizer operation can reduce considerably the downstream operation costs and produce crystals of desired properties (size, shape, purity, etc.). Nevertheless, the control of crystallizers is still challenging. In this work the development of a fixed batch time full population balance model based adaptive predictive control system for cooling batch crystallizers is presented. The model equations are solved by the high resolution finite volume algorithm involving fine discretization, which provides a high fidelity, accurate solution. A physically relevant crystal size distribution (CSD) to chord length distribution (CLD) transformation is also developed making possible the direct, real-time application of the focused beam reflectance measurement (FBRM) probe in the control system. The measured CLD and concentration values are processed by the growing horizon estimator (GHE), whose roles are to estimate the unmeasurable ..." @default.
- W2786371475 created "2018-02-23" @default.
- W2786371475 creator A5059803186 @default.
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- W2786371475 date "2018-02-12" @default.
- W2786371475 modified "2023-10-18" @default.
- W2786371475 title "Chord Length Distribution Based Modeling and Adaptive Model Predictive Control of Batch Crystallization Processes Using High Fidelity Full Population Balance Models" @default.
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- W2786371475 doi "https://doi.org/10.1021/acs.iecr.7b03964" @default.
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