Contact
Dr. Tian Ma
Head Bubbles go with the turbulent flows
Junior Group Leader – bubbles go with turbulent flows
tian.ma
hzdr.de
Phone: +49 351 260 3805
Junior research group: Bubbles go with turbulent flows
We are interested in solving fundamental and applied problems related to turbulence and bubble transport in environmental and industrial flows. We use experiments (mostly) of bubble-laden turbulent flows to understand how the bubbles modify the multiscale properties of the turbulent flows, as well as the motion of the bubbles themselves. The aim is both to enhance our fundamental understanding of bubble-turbulence interaction and provide new modeling approaches for a wide range of fields in nature and industrial processes.
Members
Group leader: Dr. Tian Ma
Postdoc: Dr. Hendrik Hessenkemper
PhD: Lantian Wang
Experimental methods for optical measurements in bubbly flows
To obtain high resolution flow data of dispersed bubble flows, we use optical measurements and develop suitable processing tools. This involves PIV-like methods and Lagrangian Particle Tracking for the liquid phase and deep learning models for detecting and tracking individual bubbles under strong occlusion.
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Multiscale properties of turbulence in bubble-laden flows
We investigate the properties of bubble-laden turbulent flows at different scales, focusing on the flow kinetic energy, anisotropy, energy transfer and extreme events.
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Collective dynamics of bubble swarms
We study the evolution of bubble clusters in a swarm of freely rising bubbles under different flow conditions. Our machine learning-aided algorithm allows us to identify and track bubbles in clusters and measure the cluster lifetime/orientation.
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Experimental studies on bubble forces in low-viscosity systems
In order to obtain accurate and reliable closure models, we design dedicated experiments and processing procedures for bubble forces and bubble interactions.
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Turbulence modelling in bubbly flows
A new model to consider the bubble induced turbulence (BIT) was recently derived basing on data from direct numerical simulations (DNS). Basing on the shear stress turbulence (SST) model additional source terms are proposed for BIT.
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