\r\nwhere particles are seeded from a source. Such particles can represent

\r\nliquid water droplets, which are affecting the continuous phase by

\r\nexchanging thermal energy, momentum, species etc. Discrete phases

\r\nare typically modelled using parcel, which represents a collection of

\r\nparticles, which share properties such as temperature, velocity etc.

\r\nWhen coupling the phases, the exchange rates are integrated over

\r\nthe cell, in which the parcel is located. This can cause spikes and

\r\nfluctuating exchange rates. This paper presents an alternative method of coupling a discrete

\r\nand a continuous plug flow phase. This is done using triangular

\r\nparcels, which span between nodes following the dynamics of single

\r\ndroplets. Thus, the triangular parcels are propagated using the corner

\r\nnodes. At each time step, the exchange rates are spatially integrated

\r\nover the surface of the triangular parcels, which yields a smooth

\r\ncontinuous exchange rate to the continuous phase. The results shows that the method is more stable, converges

\r\nslightly faster and yields smooth exchange rates compared with

\r\nthe steam tube approach. However, the computational requirements

\r\nare about five times greater, so the applicability of the alternative

\r\nmethod should be limited to processes, where the exchange rates are

\r\nimportant. The overall balances of the exchanged properties did not

\r\nchange significantly using the new approach.","references":"[1] E. A. Foumeny and H. Pahlevanzadeh, Evaluation of Plug Flow\r\nAssumption in Packed Beds, Chemical Engineering & Technology,\r\nVolume 13, Issue 1, 1990.\r\n[2] K. Brown and W. Kalata and Rudolf Schick, Optimization of SO2\r\nScrubber using CFD Modeling, Procedia Engineering, Volume 83, 2014,\r\nPages 170-180.\r\n[3] A. G. Bailey and W. Balachandran and T. J. Williams, The Rosin-Rammler\r\nsize distribution for liquid droplet ensembles, Journal of Aerosol Science,\r\nVolume 14, Issue 1, 1983, Pages 39-46.\r\n[4] N. A. Patankar and D. D. Joseph, Modeling and numerical simulation\r\nof particulate flows by the Eulerian\u2013Lagrangian approach, International\r\nJournal of Multiphase Flow, Volume 27, Issue 10, October 2001, Pages\r\n1659-1684.\r\n[5] ANSYS Inc. ANSYS Fluent User\u2019s Guide,\r\n[6] S. Pirker and D. Kahrimanovic and C. Goniva, Improving the applicability\r\nof discrete phase simulations by smoothening their exchange fields,\r\nApplied Mathematical Modelling, Volume 35, Issue 5, May 2011, Pages\r\n2479-2488.\r\n[7] P. P. Brown and D. F. Lawler, Sphere Drag and Settling Velocity Revisited,\r\n3rd ed. Journal of Environmental Engineering, Volume 129, Issue 3,\r\nMarch 2003.\r\n[8] S. Whitaker, Forced convection heat transfer correlations for flow in\r\npipes, past flat plates, single cylinders, single spheres, and flow in packed\r\nbeds and tube bundles, AIChE Journal, Volume 18, Issue 2, March 1972.\r\n[9] P. R. Smith, Bilinear interpolation of digital images, Ultramicroscopy,\r\nVolume 6, Issue 2, 1981, Pages 201-204.\r\n[10] Mathworks, Profiler documentation, http:\/\/mathworks.com\/help\/\r\nmatlab\/ref\/profile.html.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 141, 2018"}