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◆ Current Opinion in Chemical Engineering2026-02-05· Computer science

Toward predictive multiscale models for HiGee devices

Bing Wang, Siyuan Chen, Hamed Hoorijani, Qingang Xiong, Kevin M Van Geem, Yi Ouyang

原始摘要(英文原文)· Original abstract
High gravity (HiGee) devices exploit centrifugal fields and compact volumes to intensify transport and reactions. Multiscale modeling advances show how HiGee thins boundary layers, enlarges interfacial areas, and accelerates mixing, heat, and mass transfer, increasing rates in fast reaction systems. A workflow links mechanistic descriptions, computational fluid dynamics reactor simulations, and process-level simulations while identifying gaps at interfaces where turbulence, mass transfer, and kinetics dominate. Priorities include rotation–aware turbulence closures, turbulence–chemistry interaction models for gas–liquid flows, and subgrid or molecular descriptions for reduced-order and process models. Advances drawing on combustion and aerothermodynamics will enable predictive design and scale-up of HiGee devices.
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