English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Gas-particle flows are commonly simulated through two-fluid model atindustrial-scale. However, these simulations need very fine grid to haveaccurate flow predictions, which is prohibitively demanding in terms ofcomputational resources. To circumvent this problem, the filtered two-fluidmodel has been developed, where large-scale flow field is numerically resolvedand small-scale fluctuations are accounted for through subgrid-scale modeling.In this study, we have performed fine-grid two-fluid simulations of dilutegas-particle flows in periodic domains and applied explicit filtering togenerate datasets. Then, these datasets have been used to develop artificialneural network (ANN) models for closures such as the filtered drag force andsolid phase stress for the filtered two-fluid model. The set of input variablesfor the subgrid drag force ANN model that has been found previously to workwell for dense flow regimes is found to work as well for the dilute regime. Inaddition, we present a Galilean invariant tensor basis neural network (TBNN)model for the filtered solid phase stress which can capture nicely theanisotropic nature of the solid phase stress arising from subgrid-scalevelocity fluctuations. Finally, the predictions provided by this new TBNN modelare compared with those obtained from a simple eddy-viscosity ANN model.

Machine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress