Model‐Based Optimization of Ripening Processes with Feedback Modules,Chemical Engineering & Technology

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Model‐Based Optimization of Ripening Processes with Feedback Modules
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2020-04-14 , DOI: 10.1002/ceat.201900515
Michele Spinola ₁ , Alexander Keimer ₂ , Doris Segets ₃ , Günter Leugering ₄ , Lukas Pflug _{5,

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Affiliation

In order to obtain high‐quality particulate products with tailored properties, process conditions and their evolution in time must be chosen appropriately. Although the efficiency of these products depends on their dispersity in several dimensions, in established processes the particle size is usually the decisive variable to adjust. As part of the synthesis of these products, feedback modules are often incorporated so that a time‐dependent ratio of the obtained product can flow back into the system. Moreover, the synthesis should be an energy‐ and resource‐efficient process. To provide a means of ensuring this requirement, a model‐ and gradient‐based, numerically efficient optimization tool for particle synthesis is presented which was developed to describe population balance equations incorporating feedback terms.

中文翻译：

带反馈模块的成熟过程的基于模型的优化

为了获得高品质的粒状产品具有定制的属性，过程条件以及它们在时间演化必须适当地选择。尽管这些产品的效率取决于它们在多个维度上的分散性，但在已建立的过程中，粒径通常是需要调整的决定性变量。作为这些产品综合的一部分，通常会集成反馈模块，以使所获得产品的随时间变化的比率能够回流到系统中。此外，综合应该是能源和资源高效的过程。为了提供确保满足此要求的方法，提出了一种基于模型和梯度的，数值有效的粒子合成优化工具，该工具用于描述包含反馈项的总体平衡方程。

更新日期：2020-04-14

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