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arXiv 2607.26813physics.flu-dyn

我们能否实现丹克沃茨的梦想?基于四维粒子追踪实验的带挡板搅拌釜反应器混合分析

Can we live Danckwerts' dream? Mixing Analysis in a Baffled Stirred Tank Reactor Based on 4D-Particle Tracking Experiments

Eike Steuwe, Thanh Tung Thai, Christian Weiland, Anna Klünker, Jan Hendrick Nissen, Michael Schlüter, Kathrin Padberg-Gehle, Alexandra von Kameke

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中文总结 AI 辅助

本研究通过4D粒子追踪实验分析带挡板搅拌釜的混合动力学,识别出5个输运屏障隔间,拓展了Danckwerts等人的早期研究,为化工与生化过程评估优化提供方法,轨迹数据公开供后续研究使用。

中文摘要 AI 辅助

我们对实验室规模的3升搅拌釜反应器(STR,配备两个 Rushton 涡轮和三个挡板)内的混合动力学开展实验研究。采用时间分辨四维粒子追踪测速技术,尽管存在搅拌器和挡板的遮挡,我们仍成功捕捉到整个反应器体积内多达40000个示踪粒子的轨迹,提供了前所未有的时间分辨流动与混合信息。基于这些拉格朗日数据,我们分析了速度、加速度及空间色散,揭示出各向异性混合现象。通过对实验粒子轨迹采用新型基于网络的分析方法,我们识别出具有强内部混合但与相邻隔间交换微弱的连贯流体隔间。我们发现五个不同的隔间充当输运屏障,对化学与生物化学过程中的底物分布有重要影响。因此,我们的方法通过提供对化学与生物化学反应器中单个流体团行为及拉格朗日混合的详细洞察,实现并拓展了 Danckwerts 和 Levenspiel 的早期思想实验,为化学与生物化学过程的评估和优化提供了宝贵方法。该轨迹数据已免费公开,作为进一步研究的实验参考。

英文摘要

We present an experimental investigation of mixing dynamics within a laboratory-scale 3-liter stirred tank reactor (STR) equipped with two Rushton turbines and three baffles. Using time-resolved, four-dimensional particle tracking velocimetry, we successfully capture trajectories of up to 40,000 tracer particles in the full reactor volume despite obstructions by stirrer and baffles, providing unprecedented time-resolved flow and mixing information. From these Lagrangian data, we analyze velocities, accelerations, and spatial dispersion, revealing anisotropic mixing. By utilizing novel network-based analysis methods on the experimental particle trajectories, we identify coherent fluid compartments that exhibit strong internal mixing but weak exchange with neighboring compartments. We uncover five distinct compartments acting as transport barriers, which have a high impact on substrate distribution in chemical and biochemical processes. Our approach thus realizes and extends early thought experiments from Danckwerts and Levenspiel by providing detailed insight into the behavior of single fluid parcels and Lagrangian mixing withing chemical and biochemical reactors, offering a valuable approach for evaluation and optimization of chemical and biochemical processes. The trajectory data are made freely available to serve as an experimental reference for further research.

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