Toward predictive multiscale models for HiGee devices

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Authors: Bing Wang, Siyuan Chen, Hamed Hoorijani, Qingang Xiong, Kevin M Van Geem, Yi Ouyang
Cited by: 4
References: 82

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.

Fields of Study & Subjects

Ferroelectric and Negative Capacitance Devices Green IT and Sustainability Parallel Computing and Optimization Techniques

Publication details

Journal / source
Current Opinion in Chemical Engineering
Publisher
Elsevier BV
Volume
51
Pages
101230–101230
Publication date
5 February 2026
Language
EN