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CONTROL OF PARTICLE SIZE DISTRIBUTION IN EMULSION CO-POLYMERIZATION PROCESSES

机译:乳液共聚过程中粒度分布的控制

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A mid-course correction (MCC) policy has been shown as a practical approach to compensate the effects of the new disturbances on the final particle size distribution (PSD) in the emulsion polymerization process. However, the development of control model remains immature in the practical sense. In this paper, a control strategy to control the bi-modal particle size distribution in an emulsion copolymerization process within the MCC approach is presented. The strategy proposes a controlled adaptive perturbation (CAP) to develop the MCC control model while minimizing the off-specification batches generation during the perturbation. The scheme utilizes the particle size polydispersion index (PSPI) as the control objective to simplify the development process. In addition, it is also shown that the final PSD can be estimated by PLS model with an adequate accuracy by using on-line calorimetry-based conversion measurements as predictor. This eliminates the requirement of off-line analysis thus faster predictions can be made.
机译:中间校正(MCC)政策已被证明是一种实用的方法来补偿乳液聚合过程中最终粒度分布(PSD)对最终粒度分布(PSD)的影响。然而,控制模型的发展在实际意义上保持不成熟。本文介绍了控制MCC方法内乳液共聚过程中的双型粒度分布的对照策略。该策略提出了一种受控的自适应扰动(帽)来开发MCC控制模型,同时最小化扰动期间产生的非规范批次。该方案利用粒度多分数指数(PSPI)作为控制目标,以简化开发过程。另外,还示出了通过使用基于在线热量的转换测量作为预测器,通过PLS模型通过PLS模型估计最终PSD。这消除了离线分析的要求,因此可以更快地进行预测。

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