A particle-center-averaged Euler-Euler model for monodisperse bubbly flows

• An approach to simulate bubbly flows using particle-center-averaging is formed. A physically motivated wall-contact force model introduced. Particle-center-averaging recovers consistency in the Euler-Euler model. provides mesh independent solutions. Experimental data for pipe (MTLoop) are used validation. The standard based on phase-averaging method and each bubble a function of local gas volume fraction. As result, coherent motion as whole not enforced when diameter larger than size computational cell. However, models typically developed by tracking bubbles’ centers mass assuming that forces act these locations. In simulations, this inconsistency can lead nonphysical concentration center or near wall channel cell size. Besides, mesh-independent solution may exist such cases. present contribution, average variables disperse phase, which allows represent mass. flow simulation formed combining averaging with Gaussian convolution spatial extent bubbles. remediation demonstrated simplified two-dimensional test case. results illustrate recover provide Furthermore, comparison particle-center-averaged shown several cases where experimental available. show alleviate over-prediction fraction peaks wall-peaking finely dispersed velocities simulated both approaches similar.