scholarly journals Rectilinear vortex sheets of inviscid liquid-gas two-phase flow: Linear stability

2016 ◽  
Vol 14 (3) ◽  
pp. 735-776 ◽  
Author(s):  
Lizhi Ruan ◽  
Dehua Wang ◽  
Shangkun Weng ◽  
Changjiang Zhu
2019 ◽  
Vol 39 (6) ◽  
pp. 3535-3575 ◽  
Author(s):  
Feimin Huang ◽  
◽  
Dehua Wang ◽  
Difan Yuan ◽  
◽  
...  

AIChE Journal ◽  
1974 ◽  
Vol 20 (5) ◽  
pp. 981-988 ◽  
Author(s):  
Raymond J. Gumerman ◽  
George M. Homsy

Author(s):  
Avinash Vaidheeswaran ◽  
William D. Fullmer ◽  
Krishna Chetty ◽  
Raul G. Marino ◽  
Martin Lopez de Bertodano

The one-dimensional fixed-flux two-fluid model (TFM) is used to analyze the stability of the wavy interface in a slightly inclined pipe geometry. The model is reduced from the complete 1-D TFM, assuming a constant total volumetric flux, which resembles the equations of shallow water theory (SWT). From the point of view of two-phase flow physics, the Kelvin-Helmholtz instability, resulting from the relative motion between the phases, is still preserved after the simplification. Hence, the numerical fixed-flux TFM proves to be an effective tool to analyze local features of two-phase flow, in particular the chaotic behavior of the interface. Experiments on smooth- and wavy-stratified flows with water and gasoline were performed to understand the interface dynamics. The mathematical behavior concerning the well-posedness and stability of the fixed-flux TFM is first addressed using linear stability theory. The findings from the linear stability analysis are also important in developing the eigenvalue based donoring flux-limiter scheme used in the numerical simulations. The stability analysis is extended past the linear theory using nonlinear simulations to estimate the Largest Lyapunov Exponent which confirms the non-linear boundedness of the fixed-flux TFM. Furthermore, the numerical model is shown to be convergent using the power spectra in Fourier space. The nonlinear results are validated with the experimental data. The chaotic behavior of the interface from the numerical predictions is similar to the results from the experiments.


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