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Real-Time Optimization and Genetic Algorithm for Enhanced Process Control of Coupling Cooling and Antisolvent Crystallization

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Download Hi-Res ImageDownload to MS-PowerPointCite This:Ind. Eng. Chem. Res. 2025, 64, 4, 2199-2207
    Process Systems Engineering

    Real-Time Optimization and Genetic Algorithm for Enhanced Process Control of Coupling Cooling and Antisolvent Crystallization
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    • Shutian XuanYuan
      Shutian XuanYuan
      National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
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    • Ying Sun
      Ying Sun
      National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
      More by Ying Sun
    • Xiaomeng Zhou
      Xiaomeng Zhou
      National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
      More by Xiaomeng Zhou
    • Yunhe Bai
      Yunhe Bai
      Peric Technology Co., Ltd., Hebei 056000, China
      More by Yunhe Bai
      Orcidhttps://orcid.org/0000-0003-4961-8074
    • Yang Ye
      Yang Ye
      National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
      More by Yang Ye
      Orcidhttps://orcid.org/0000-0002-8852-5156
    • Cuihong Hu
      Cuihong Hu
      Shandong Qidu Pharmaceutical Co., Ltd., Shandong 255400, China
      More by Cuihong Hu
    • Hongxun Hao
      Hongxun Hao
      National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
      School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
      More by Hongxun Hao
      Orcidhttps://orcid.org/0000-0001-6445-7737
    • Chuang Xie*
      Chuang Xie
      National Engineering Research Center of Industrial Crystallization Technology, Tianjin University, Tianjin 300072, China
      School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
      *Email: [email protected]
      More by Chuang Xie
      Orcidhttps://orcid.org/0000-0002-3442-2071
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    Industrial & Engineering Chemistry Research

    Cite this: Ind. Eng. Chem. Res. 2025, 64, 4, 2199–2207
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    https://doi.org/10.1021/acs.iecr.4c04048
    Published January 13, 2025
    Copyright © 2025 American Chemical Society
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    Abstract

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    Crystallization process control has attracted extensive research interest in recent years within the field of industrial crystallization. This study focused on controlling the crystallization process of coupling cooling and antisolvent crystallization (CCAC), a traditional crystallization method widely used for enhancing the product yield and process efficiency. By employing model-free control, real-time self-feedback control, and preset process routes optimized by genetic algorithm (GA), the simultaneous control of the temperature profile and antisolvent addition was achieved during CCAC. The kinetic behavior of l-carnitine during the CCAC process under different control logics was characterized. It is revealed that the real-time self-feedback control and preset process route based on genetic algorithm exhibited better performance than the model-free control strategy and linear process. Specifically, real-time optimization based on the genetic algorithm (GA-RTO) can achieve a larger D90, while the optimized design route of the process can result in a larger D50. However, for simple process development, a preset process path may yield acceptable preliminary results.

    Copyright © 2025 American Chemical Society

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    Industrial & Engineering Chemistry Research

    Cite this: Ind. Eng. Chem. Res. 2025, 64, 4, 2199–2207
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.iecr.4c04048
    Published January 13, 2025
    Copyright © 2025 American Chemical Society
    Request reuse permissions

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