Sentence examples for viscosity modelling from inspiring English sources

Fig. 6 Viscosity modelling.

The conventional eddy viscosity modelling is applied to model the second moments for engineering applications.

ML techniques that have been used for viscosity modelling include radial basis function neural network (RBFNN), artificial neural network (ANN), fuzzy logic (FL), functional networks (FN), genetic algorithm (GA), SVM and group method of data handling (GMDH) (Table 4).

Eddy viscosity models (EVM) constitute a powerful approach for turbulence modeling in engineering applications.

This paper proposes a simple modeling approach which incorporates the dissipative nature of existing eddy viscosity models into more physically appealing non-eddy viscosity SGS models.

The first unimodal viscosity model is Liu model (Liu 2000).

(a) Low viscosity model in the lower crust.

In this study, three unimodal viscosity models were investigated.

However, for higher producing rates, the constant viscosity model generally estimates higher temperatures than does the rigorous (variable viscosity) model.

The viscosity models discussed here are generally applied to measure the viscosity of nanofluids.

The power-law and Carreau Yasuda viscosity models were used for fitting the viscosity data.