Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas-Particle Flows.
Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas-Particle Flows.
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DOI：
10.1146/annurev-chembioeng-060817-084025
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发表时间：
2018-06
影响因子：
8.4
通讯作者：
S. Sundaresan;A. Ozel;J. Kolehmainen
中科院分区：
文献类型：
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作者：
S. Sundaresan;A. Ozel;J. Kolehmainen
由于多相流中固有的多尺度结构，与动量、物种和能量的输运方程结合使用的本构模型是尺度相关的。我们认为，这种尺度依赖性可以通过深度学习技术和建立附加变量的输运方程，如漂移速度和物种、能量和动量转移的类比来更好地量化。人们应该如何在多尺度模型中加入粒子间力，这是通过范德华相互作用、湿粒子之间的动态液桥和摩擦带电而产生的，值得进一步研究。开发考虑所有已知相互作用的多尺度模型将提高使用模拟来探索设计方案的信心，减少中试试验的数量，并加速新技术的商业化。
As multiscale structures are inherent in multiphase flows, constitutive models employed in conjunction with transport equations for momentum, species, and energy are scale dependent. We suggest that this scale dependency can be better quantified through deep learning techniques and formulation of transport equations for additional quantities such as drift velocity and analogies for species, energy, and momentum transfer. How one should incorporate interparticle forces, which arise through van der Waals interaction, dynamic liquid bridges between wet particles, and tribocharging, in multiscale models warrants further study. Development of multiscale models that account for all the known interactions would improve confidence in the use of simulations to explore design options, decrease the number of pilot-scale experiments, and accelerate commercialization of new technologies.