Experimental and Numerical Validation of the Total Trapping Number for Prediction of DNAPL Mobilization

2007 ◽  
Vol 41 (23) ◽  
pp. 8135-8141 ◽  
Author(s):  
Yusong Li ◽  
Linda M. Abriola ◽  
Thomas J. Phelan ◽  
C. Andrew Ramsburg ◽  
Kurt D. Pennell
Keyword(s):  
Numerical Validation ◽  
Trapping Number

The Quasi-Steady-State Approximation: Numerical Validation

1998 ◽  
Vol 75 (9) ◽  
pp. 1158 ◽  
Author(s):  
Richard A. B. Bond ◽  
Bice S. Martincigh ◽  
Janusz R. Mika ◽  
Reuben H. Simoyi
Keyword(s):  
Steady State ◽  
Quasi Steady State ◽  
Numerical Validation ◽  
State Approximation ◽  
Steady State Approximation

Patient-individual local SAR determination: In vivo measurements and numerical validation

2011 ◽  
Vol 68 (4) ◽  
pp. 1117-1126 ◽  
Author(s):  
T. Voigt ◽  
H. Homann ◽  
U. Katscher ◽  
O. Doessel
Keyword(s):  
Numerical Validation ◽  
In Vivo Measurements ◽  
Local Sar

The Feasibility of an Euler-Lagrange Approach for the Modelling of Wet Steam

2020 ◽  
Author(s):  
Tim Wittmann ◽  
Christoph Bode ◽  
Jens Friedrichs
Keyword(s):  
Optimal Parameter ◽  
Nucleation Theory ◽  
Classical Nucleation Theory ◽  
Droplet Growth ◽  
Wet Steam ◽  
Discrete Phase Model ◽  
Ansys Fluent ◽  
Validation Data ◽  
Numerical Validation ◽  
Lagrange Approach

Abstract This study investigates the applicability of an Euler-Lagrange approach for the calculation of nucleation and condensation of steam flows. Supersonic nozzles are used as generic validation cases, as their high expansion rates replicate the flow conditions in real turbines. Experimental and numerical validation data for these nozzles are provided by the International Wet Steam Modelling Project of Starzmann et al. (2018). In contrast to most participants of that project, an Euler-Lagrange approach is utilized for this study. Therefore, the classical nucleation theory with corrections and different droplet growth laws is incorporated into the Discrete Phase Model of ANSYS Fluent. Suggestions for an efficient implementation are presented. The Euler-Lagrange results show a good agreement with the experimental and numerical validation data. The sensitivities of the Euler-Lagrange approach to modelling parameters are analysed. Finally, an optimal parameter set for the calculation of nucleation and condensation is proposed.

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