Liu Huolong, Li Mingzhong
School of pharmacy, De Montfort University, Leicester LE1 9BH, UK.
School of pharmacy, De Montfort University, Leicester LE1 9BH, UK.
Int J Pharm. 2014 Jul 1;468(1-2):223-33. doi: 10.1016/j.ijpharm.2014.04.024. Epub 2014 Apr 13.
In this work, one-dimensional population balance models (PBMs) have been developed to model a pulsed top-spray fluidized bed granulation. The developed PBMs have linked the key binder solution spray operating factors of the binder spray rate, atomizing air pressure and pulsed frequency of spray with the granule properties to predict granule growth behaviour in the pulsed spray fluidized bed granulation process at different operating conditions with accuracy. A multi-stage open optimal control strategy based on the developed PBMs was proposed to reduce the model mismatch, in which through adjusting the trajectory of the evolution of the granule size distribution at predefined sample intervals, to determine the optimal operating variables related to the binder spray including the spray rate of binding liquid, atomizing air pressure and pulsed frequency of spray. The effectiveness of the proposed modelling and multi-stage open optimal control strategies has been validated by experimental and simulation tests.
在这项工作中，已开发出一维群体平衡模型（PBMs）来模拟脉冲顶喷流化床制粒过程。所开发的PBMs将粘结剂喷雾速率、雾化空气压力和喷雾脉冲频率等关键粘结剂溶液喷雾操作因素与颗粒性质联系起来，以准确预测不同操作条件下脉冲喷雾流化床制粒过程中的颗粒生长行为。提出了一种基于所开发的PBMs的多阶段开放最优控制策略，以减少模型不匹配，其中通过在预定义的采样间隔调整颗粒尺寸分布演变轨迹，来确定与粘结剂喷雾相关的最优操作变量，包括粘结液喷雾速率、雾化空气压力和喷雾脉冲频率。所提出的建模和多阶段开放最优控制策略的有效性已通过实验和模拟测试得到验证。
