Verification and validation of MFiX-PIC

A Vaidheeswaran, J Musser, MA Clarke - 2020 - osti.gov
A Vaidheeswaran, J Musser, MA Clarke
2020osti.gov
This work is aimed at verification and validation (V&V) of particle-in-cell (PIC) approach in
the National Energy Technology Laboratory's (NETL) Multiphase Flow with Interphase
eXchanges (MFiX-PIC) which was officially released in April 2019. Under verification, the
results from MFiX-PIC are compared with exact or analytical solutions, while experimental
results are used for benchmarking under validation. The test suite consists of the following
cases: Terminal velocity. Particle advection in time-varying flow field. Particle settling in a …
This work is aimed at verification and validation (V&V) of particle-in-cell (PIC) approach in the National Energy Technology Laboratory’s (NETL) Multiphase Flow with Interphase eXchanges (MFiX-PIC) which was officially released in April 2019. Under verification, the results from MFiX-PIC are compared with exact or analytical solutions, while experimental results are used for benchmarking under validation. The test suite consists of the following cases: Terminal velocity. Particle advection in time-varying flow field. Particle settling in a dense medium. Evaporation. Rayleigh-Taylor instability. Minimum fluidization. Mini-circulating fluidized bed. The cases reported in a format consistent with the existing Verification and Validation Manual (Musser et al., 2018) explore a wide range of flow velocities and concentration regimes. Only one case considered in this work verifies the implementation of heat and mass transfer routines in MFiX-PIC, while a few other studies are currently underway to further expand the validation space in reacting flows. This study highlights the need for a rigorous analysis to objectively quantify the effect of model parameters. In addition, there is a scarcity of high-quality experimental data in the literature suitable for validating PIC methodology. Future efforts would include performing experiments which provide results for a valuable database. While designing such experiments, particle count should be significant to have sufficient particles per parcel while maintaining an optimal parcel to cell volume ratio. Also, datasets should have objectively assessed experimental uncertainty whereby confidence interval in those measurements become more explicit.
osti.gov
以上显示的是最相近的搜索结果。 查看全部搜索结果