Process optimization based on the design of experiments for continuous crystallization of <em>L</em>-glutamic acid

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Abstract For using the continuous oscillatory baffled crystallizer (COBC) to conduct cooling crystallization of β form L-glutamic acid (LGA), a prediction model of product crystal size distribution (CSD) and optimization method of process operation conditions is proposed, based on the design of experiments. The oscillation frequency and cooling rate of two zones of the COBC are taken as the operation conditions to design a 3-factor and 3-level Box-Behnken experimental scheme. By measuring the chord length distribution (CLD) of crystal products under different experimental conditions, a prediction model of the product CSD is constructed based on double-layer basis functions. Then an objective function related to the target CSD and product yield is introduced to establish an optimization method of the process operation conditions, based on the above prediction model. The effectiveness and advantages of the proposed method are verified by simulation and experiments on the cooling crystallization process of β form LGA.

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	Articles by authors
	ZHAO Mingyan
	YANG Siwei
	LIU Tao
	YU Haichen

Keywords： cooling crystallization of L-glutamic acid design of experiments crystal size distribution process optimization continuous oscillatory baffled crystallizer

Received 2022-07-15;

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ZHAO Mingyan, YANG Siwei, LIU Tao, YU Haichen.Process optimization based on the design of experiments for continuous crystallization of L-glutamic acid[J] Chemcial Industry and Engineering, 2023,V40(1): 53-59

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