Fredrik Bajers Vej 5
P.O. Box 159 DK-9100 Aalborg
Phone: +45 9940 9940
27.11.2017 kl. 13.00 - 27.11.2017 kl. 16.00
Jakob Hærvig, Department of Energy Technology, will defend the thesis "On the Adhesive Behaviour of Micron-sized Particles in Turbulent Flow - A numerical study coupling the discrete element method and large eddy simulations".
On the Adhesive Behaviour of Micron-sized Particles in Turbulent Flow - A numerical study coupling the discrete element method and large eddy simulations
Associate Professor Kim Sørensen
Professor Lasse Rosendahl
Professor Søren Knudsen Kær, Dept. of Energy Technology, Aalborg University (Chairman)
Professor Martin Sommerfeld, Otto-von-Guericke University Magdeburg, Germany
Professor Jeffrey S. Marshall, University of Vermont, USA
Small particles are commonly observed to stick to one another (typically denoted agglomerate) due to inter-particle attractive forces. When particles agglomerate their interaction with the surroundings is changed significantly. Particles with this behaviour are found in wide range of processes ranging from dust particles in space, that agglomerate to form early stages of planets, to soot particles emitted from various combustion processes on Earth that reduce the efficiency of various industrial processes by sticking to surfaces. Most particles influenced by inter-particle attractive forces have diameters ranging from dp = O(0.1 μm) to dp = O(10 μm) . Due to their small size, experimental investigations are limited to single particles colliding with a surface under well-controlled conditions. When adhesive particles interact in a turbulent flow, tracking individual particles in time becomes close to impossible. Due to the difficulties with tracking adhesive particles experimentally, computational methods with varying level of complexity have been developed over the last decades. Recent development within computational methods, such as the Discrete Element Method (DEM), allow more aspects of the agglomeration process to be resolved directly based on the properties of the particles. Despite the increase in computational power in the recent years, simulating the interaction of thousands, millions or even billions particles remains limited by the computational power of modern computers.
In this study, focus is first on how to analytically derive a criterion describing how to effectively speed up DEM simulations by altering the physical properties of the particles. For this purpose, simulations involving two particles colliding under various conditions are carried out to ensure the adhesive behaviour remains unchanged after applying the criterion. In conjunction with the criterion proposed, a relation describing the computational speed up is proposed.
Secondly, focus is on applying the criterion to investigate how adhesive particles interact in a turbulent pipe flow by coupling Large Eddy Simulations (LES) of turbulent flow to the Discrete Element Method (DEM). Initially, simulations are done to verify the validity of the analytically-derived criterion. Next, simulations are done for a wide range of particle properties to get a better understanding of how particle properties affect the agglomeration and deposition process.
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