用于气泡塔设计的小型连续运行装置中的聚合研究

Mark Werner Hlawitschka, Andreas Schleiffer, Jonas Schurr, Stephan Winkler, Daniel Danner
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引用次数: 0

摘要

本文介绍了一种新型微通道技术,用于分析气泡凝聚并获取相关信息以创建凝聚数据库。微通道通过连续运行的装置改进了凝聚研究,减少了杂质的积累,并增加了记录的数据量。为了介绍新的装置,介绍了酒精、电解水系统和作为第二种液体的液态硅油的研究,显示了不同浓度的影响。人工智能已成功开发用于自动生成数据。这种方法通过引入可重复的设置,提高了对气泡凝聚的理解。此外,它还有助于通过基于数据的决策和建模过渡到预测性色谱柱设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coalescence investigations in a small‐scale continuously operated setup for bubble column design
A novel micro‐channel technique for analyzing the coalescence of bubbles and obtaining relevant information for the creation of a coalescence database is presented. The micro‐channel improves the coalescence investigations by a continuously operated setup, reduces the accumulation of impurities and increases the amount of recorded data. To introduce the new setup, studies with alcoholic, electrolytic aqueous systems and liquid silicone oil as a second liquid are presented, showing the influence of different concentrations. Artificial intelligence has been successfully developed to automate data generation. This approach improves the understanding of bubble coalescence by introducing a reproducible setup. Furthermore, it facilitates the transition to a predictive column design through data‐based decisions and modelling.
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