How do you identify flow regimes in a condensing steam jet? A new study uses chaos analysis to distinguish stable jets, oscillating jets and bubbly flow using just two parameters.
A simple way to track complex vapor–liquid dynamics.
🔗 https://pubs.aip.org/aip/pof/article/38/2/024119/3380433/Flow-pattern-recognition-of-condensing-steam-jet
#FluidDynamics #TwoPhaseFlow #Condensation #HeatTransfer #PhysicsOfFluids
'Two-group bubble size distribution evolution in vertical two-phase flow: Mechanistic model development and evaluation in a tight-lattice rod bundle' - a 'National Science Open' article published by @EDPSciences on #ScienceOpen:
🔗 https://www.scienceopen.com/document?vid=dac3b468-6270-4ed7-bdff-41a4f3a6922c
#Research #Engineering #FluidMechanics #TwoPhaseFlow
Two-group bubble size distribution evolution in vertical two-phase flow: Mechanistic model development and evaluation in a tight-lattice rod bundle
<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d10033496e243">Two-phase flow with complex phase interfaces is commonly observed in both nature and
industrial processes. The bubble size distribution (BSD) is a crucial parameter in
gas-liquid two-phase flow, impacting various flow characteristics including interfacial
forces, void fraction distribution, and interfacial area transport. Throughout the
flow progression, the BSD changes along the channel due to variations in pressure
and interactions among bubbles. Accurately predicting the evolution of BSD can enhance
the modeling of two-phase flow. This study presents a novel BSD evolution (BSDE) model,
where the governing equation for the probability density function is formulated by
considering the conservation of bubbles within a one-dimensional control volume in
the channel. The downstream BSD is predicted based on the upstream BSD and the effects
of pressure variations and bubble interactions along the channel. To account for the
multiscale nature of the two-phase flow, the bubbles are categorized into small groups
(
<i>G</i>
<sub>1</sub>) and large groups (
<i>G</i>
<sub>2</sub>). Six distinct source term distributions for intra/inter bubble interactions have
been developed. Each source term accounts for the distributions of consumed and generated
bubbles, ensuring the conservation of bubble volume through constraints on model coefficients.
The model has been tested on a tight-lattice rod bundle using experimental data, with
deviations of less than 5% and 15% for
<i>G</i>
<sub>1</sub> and
<i>G</i>
<sub>2</sub> flow, respectively. Since the model development is independent of specific geometry,
the framework of the BSDE model can also be effectively applied to channels of varying
shapes.
</p>
ScienceOpen