A volume-tracking method for the modelling of multi-fluid flows in engineering unit operations

Liovic, P., Rudman, M., and Liow, J-L. (2002) A volume-tracking method for the modelling of multi-fluid flows in engineering unit operations. In: Proceedings of the 6th World Congress of Chemical Engineering. From: 6th World Congress of Chemical Engineering, 23-27 September 2001, Melbourne, VIC, Australia.

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A numerical code is presented for the numerical simulation of multi-fluid flows in pyrometallurgical unit operations. The code, MFVOF, is a finite difference code that allows transient solutions to immiscible multi-fluid flow problems to be generated in 2-D Cartesian and cylindrical geometries. The code is based on the use of an accurate PLIC (piecewise linear interface calculation) volume-tracking scheme to track the distortions of fluid bodies, with a redistribution procedure to ameliorate the formation of subgrid-scale fluid ligaments. Other recent enhancements to the code include swirl and expansion/compression modelling. The MFVOF code is not only able to model flows with low-curvature interface traditional applications of volume tracking - it is also able to generate robust and realistic transient representations of fragmentation and coalescence involving higher-curvature interfaces. This suggests that volume tracking can become increasingly useful for multi-phase flow modelling in chemical engineering unit operations, beyond traditional civil engineering and metallurgical applications.

Item ID: 14672
Item Type: Conference Item (Research - E1)
ISBN: 978-0-7340-2201-1
Keywords: mathematical modelling; VOF
Date Deposited: 25 Oct 2017 22:54
FoR Codes: 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics @ 51%
09 ENGINEERING > 0913 Mechanical Engineering > 091399 Mechanical Engineering not elsewhere classified @ 49%
SEO Codes: 86 MANUFACTURING > 8611 Basic Metal Products (incl. Smelting, Rolling, Drawing and Extruding) > 861103 Basic Iron and Steel Products @ 51%
97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 49%
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