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Numerical modeling based upon the size distribution of the Al nanocrystals after isothermal annealing is applied to study the nucleation kinetics in the metallic glasses.
This paper illustrates a numerical modeling based integrated approach for predicting the progressive caving behavior of strata and optimum capacity requirement of powered support for longwall working in a given geo-mining and strata condition.
Coupled cell performance evaluation, liquid water visualization by neutron radiography (NRG) and numerical modeling based on multiphase mixture (M2) model were performed with three types of GDMs Micro Porous Layerr (MPL) free; Carbon Paper (CP) with MPL; and CP free to investigate interfacial liquid water transport phenomena in PEMFCs and its effect on cell performance.
Second, local factors can be obtained not by following the empirical value in the building codes but by detailed numerical modeling based on computational fluid dynamics (Yan et al. 2013) or wind tunnel experiments (Chock and Cochran 2006).
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A numerical model based on coupled nonlinear Schrödinger equations with an assumption of incoherent feedback19 reproduces the experimentally observed smooth spectrum as well.
To simulate the experiments, a numerical model based on dynamic finite element analysis was constructed.
A numerical model based on linear drying in finite time intervals was developed.
We precede several experimental data for realizing a numerical model based on TRNSYS software.
A corresponding numerical model based on the Ansys/Fluent computational fluid dynamics code was built.
A thorough validation process of the numerical model, based on published experimental data is described.
A several experimental data have been added for realizing a numerical model based on TRNSYS software.
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