Abstract
For using the continuous oscillatory baffled crystallizer (COBC) to conduct cooling crystallization of β form L-glutamic acid (LGA), a prediction model of crystal product size distribution and an optimization method of process operation conditions are proposed in this paper, based on the design of experiment. The oscillation frequency and cooling rates of front two zones of the COBC are taken as the input conditions to design a 3-factor and 3-level Box-Behnken experimental scheme. A prediction model of crystal product size distribution based on double-layer basis functions is constructed by examining the chord length distribution of crystal products under different experimental conditions. Then an objective function on the target crystal size distribution and product yield is introduced to establish an optimization method on the process operating conditions, based on the above prediction model. The effectiveness and advantages of the proposed method are verified by simulation and experiments on the continuous cooling crystallization process of p form LGA.
Original language | English |
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Title of host publication | 2022 China Automation Congress (CAC) |
Publisher | IEEE |
Pages | 501-505 |
Number of pages | 5 |
ISBN (Electronic) | 9781665465335 |
DOIs | |
Publication status | Published - 13 Mar 2023 |
Event | 2022 China Automation Congress - Xiamen, China Duration: 25 Nov 2022 → 27 Nov 2022 |
Conference
Conference | 2022 China Automation Congress |
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Abbreviated title | CAC 2022 |
Country/Territory | China |
City | Xiamen |
Period | 25/11/22 → 27/11/22 |
Keywords
- Continuous oscillatory baffled crystallizer
- Cooling crystallization of L-glutamic acid
- Design of experiments
- Prediction model
- Process Input Optimization
- crystal size distribution
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Aerospace Engineering
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Control and Optimization