Model-based design for water-soluble crystals with anti-caking function by the feedback between caking prediction and crystallization control. (5th May 2023)

• Record Type: Journal Article
• Authors: Li, Jiahui; Guo, Shengzheng; Liu, Yanbo; Yan, Hui; Li, Mingxuan; Tong, Li; Gao, Ye; Chen, Mingyang; Wu, Songgu; Gong, Junbo
• Is Part Of: Chemical engineering science. Volume 271(2023)
• Publication Date: 2023-05-05
• Subjects: Anti-caking -- Water-soluble crystals -- Caking tendency prediction -- Crystallization control -- Mean particle size; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2023.118568
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Model-based design for anti-caking function of water-soluble crystals. Development of the Caking-Size-Crystallization (CSC) model. First model coupling between front-end crystallization and post-end caking process. Model validation and optimal solution by case study of ammonium persulfate. High efficiency and product quality with CSC model on comparison of model-free. Abstract: Water-soluble crystals with anti-caking function have become high-end products, whereas they are prepared by trial and error due to the lack of quantitative correlation between particle size and caking tendency, as well as the absence of the models for global consideration between caking and crystallization. This work presents a coupled Caking-Size-Crystallization (CSC) model, which connects the front-end crystallization process and the post-end caking process to achieve the closed-loop design of the anti-caking function for the first time. The CSC model can directly generate the optimal cooling trajectory to crystallize the product free of caking. The introduction of the caking constant term, the mean particle size and the Mullin-Nyvlt's theory improve the design efficiency by an order of magnitude with the precision guaranteed. This model-based approach presents an opportunity to find optimal crystallization operating profiles with diverse crystal seed loading strategies that meet both product function and manufacturability demands.