Scale-up modeling for manufacturing nanoparticles using microfluidic T-junction
Scale-up modeling for manufacturing nanoparticles using microfluidic T-junction
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DOI：
10.1080/24725854.2018.1443529
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发表时间：
2018-01-01
影响因子：
2.6
通讯作者：
Huang, Qiang
中科院分区：
文献类型：
--
作者：
Duanmu, Yanqing;Riche, Carson T.;Huang, Qiang
纳米粒子在能源、安全、医药、食品和环境科学等各个领域具有巨大的潜力，可以给工业带来革命性的变化，改善我们的生活。基于液滴的微流控反应器是实现单分散纳米粒子高产率的重要工具。根据工艺设置的不同，典型的微流控T形结中液滴的形成可以用不同的机制来解释，即挤压、滴滴或挤压到滴滴。因此，由于不确定性，制造过程可能会在多个物理域下运行。虽然已经为单个领域开发了机理模型，但跨多个领域的液滴形成的放大制造的建模方法并不存在。建立一个完整和可扩展的液滴形成模型，对于扩大微流控反应器的大规模生产至关重要，面临着两个关键挑战：建模空间的高维性和物理域边界的模糊性。这项工作为多领域制造过程的放大建立了一种新颖和通用的公式，并为产品质量控制提供了一种可扩展的建模方法，使得由于不确定性而可能在多个物理领域下运行的制造过程的放大成为可能。
Nanoparticles have great potential to revolutionize industry and improve our lives in various fields such as energy, security, medicine, food, and environmental science. Droplet-based microfluidic reactors serve as an important tool to facilitate monodisperse nanoparticles with a high yield. Depending on process settings, droplet formation in a typical microfluidic T-junction is explained by different mechanisms, squeezing, dripping, or squeezing-to-dripping. Therefore, the manufacturing process can potentially operate under multiple physical domains due to uncertainties. Although mechanistic models have been developed for individual domains, a modeling approach for the scale-up manufacturing of droplet formation across multiple domains does notexist. Establishing an integrated and scalable droplet formation model, which is vital for scaling up microfluidic reactors for large-scale production, faces two critical challenges: the high dimensionality of the modeling space; and ambiguity among the boundaries of physical domains. This work establishes a novel and generic formulation for the scale-up of multiple-domain manufacturing processes and provides a scalable modeling approach for the quality control of products, which enables and supports the scale-up of manufacturing processes that can potentially operate under multiple physical domains due to uncertainties.