https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42043 Wed 17 Aug 2022 12:41:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34792 3 in both cases. For the binary mixture, particle species of size 200 and 300 µm were used, while for the multicomponent mixture eight particle species with sizes between 49 and 421 µm were selected. The partition curves obtained from the model predictions were successfully validated with published experimental results. The separation performance of the RC was characterised by analysing how the imperfection and the d₅₀ values changed with the process variables. Furthermore, the simulation data were used for the first time to demonstrate the concentration distribution of the individual solid particle species in the fluidization and inclined sections of the RC. This study showed that the particle species with sizes closer to the d₅₀ values had a larger presence in both the vertical and inclined sections of the RC. Thus, the total concentration inside the RC mainly consisted of those particle species.]]> Wed 15 Feb 2023 09:24:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14995 Wed 11 Apr 2018 16:46:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30349 Wed 11 Apr 2018 09:58:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34790 Wed 04 Dec 2019 09:42:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24556 Tue 10 Sep 2024 11:38:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50050 Thu 29 Jun 2023 15:20:49 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49657 Thu 25 May 2023 16:15:45 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32564 Thu 13 Jun 2019 11:49:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19015 Sat 24 Mar 2018 08:05:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28503 Sat 24 Mar 2018 07:29:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28775 Sat 24 Mar 2018 07:23:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24467 Sat 24 Mar 2018 07:17:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22579 Sat 24 Mar 2018 07:15:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22810 Sat 24 Mar 2018 07:15:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23400 -20 J) and hydrodynamic resistance function. The evaporation rate was simulated based on a liquid pool evaporation model, which is a function of the area exposed, liquid properties, temperature and liquid saturation vapour pressure. As the area of liquid interface exposed is directly related to the evaporation rate, a discretised pixel map of the surface of the liquid was created. The decrease in the level of the liquid due to evaporation reduced the space available for the particles to move with the consequence that the aggregation rate increased. In addition, the decrease in the level of the liquid forced the particles to settle. When the height of the liquid was comparable to the height of the sediment, the evaporation process slowed down due to the reduction in the surface area available for evaporation. These findings foster a deeper understanding into the aggregation and deposition of nanoparticles and provide the first step to the analysis of the structure of the formed sediments which is our ultimate goal.]]> Sat 24 Mar 2018 07:13:54 AEDT ]]>