https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47153 i^/) were determined in a solid-liquid fluidised bed comprising glass particles (d_S = 8 mm, ρ_S = 2230 kg m⁻³) and water as a fluidising medium. Both inter-particle and particle-wall collisions were determined from the time varying jerk data. The particle mean-free path (λ) was then estimated as a distance between two successive peaks in the jerk profile. Finally, dispersion efficient D was computed based on the product of λ and V. Estimated dispersion coefficients were compared with the available correlations and reasonable agreement was obtained.]]> Wed 14 Dec 2022 15:34:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29437 Wed 11 Apr 2018 16:39:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22870 Wed 11 Apr 2018 16:11:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29702 Wed 11 Apr 2018 15:31:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29278 r ≥ 0.0128 and P_s ≥ 0.016. The distributions of the temperature and salinity profiles of salt water flow over different time steps were investigated for the effect of different dimensionless parameters and shown graphically.]]> Wed 11 Apr 2018 14:33:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25643 Wed 11 Apr 2018 14:12:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26401 r), modified Grash of number (G_m), heat generation parameter (Q), radiation parameter (R), Brownian motion number (N_b), thermophoresis number (N_t), Prandtl number (P_r), Lewis number (L_e), Chemical reaction parameter (γ) and the ratio of the rate constants of the shrinking velocity to the free stream velocity (α). A shooting technique is employed to solve this similarity model numerically. The results of the present analysis is going to observe the velocity, temperature, concentration, the wall shear stress, the Nusselt number and the Sherwood number at the different situation and dependency of different parameters. A comparative study is also being shown between the previously published results and the present results for the accuracy and interesting findings of the present research.]]> Wed 03 Oct 2018 16:26:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26402 r), modified Grashof number (G_m), thermal conductivity parameter (T_c), Prandtl number (P_r) , radiation parameter (R), heat source parameter (Q), Eckert number (E_c), Schmidt number (S_c), reaction parameter (λ) andorder of chemical reaction (η) on the all fluid velocity components, temperature and concentration distribution as well as Skin-friction coefficient, Nusselt and Sherwood number at the plate.]]> Wed 03 Oct 2018 16:23:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32954 f₁, has been proposed (see for example Joshi et al. (2001)). Briefly, the LSA analysis utilises the velocity fluctuations of both the dispersed and continuous phases associated with the specific energy dissipation rate of the two phase mixture. Typically, the specific energy dissipation rate is correlated with the density of the bed. The previous analysis, however, does not consider the energy input which associated with the turbulence intensity (velocity fluctuations) of the incoming liquid stream. Usually, this component can be ignored in sparged bubble columns because its magnitude is relatively small and it also decays in the axial direction. In plunging liquid jet bubble columns the liquid is introduced as a high speed jet that entrains gas which is then broken into fine bubbles in the Mixing Zone. The bubby mixture then passes into the Two Phase Flow Zone where instabilities can be generated. The Mixing Zone is a region of high energy dissipation resulting in relatively large liquid velocity fluctuations, which can directly influence the instability of the Two Phase Flow Zone. In this study the existing linear stability analysis is modified to include the influence of inlet liquid velocity fluctuations on the stability parameter, f₁. The modified theory is applied to the previous work of Evans (1990) for a plunging liquid jet bubble column to determine the critical gas volume fraction at which transition takes place in the Two Phase Flow Zone. In order to apply the model, drift-flux analysis has been used to obtain bubble diameter as a function of gas and liquid superficial velocities, and computational fluid dynamics has been utilised to quantify the velocity fluctuations of the liquid exiting the Mixing Zone.]]> Thu 16 Aug 2018 13:36:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42741 Thu 01 Sep 2022 13:53:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29428 Sat 24 Mar 2018 07:36:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25528 -3) were used as fluidised particles. Three different combinations of particle size pairs of both equal and unequal mass ratios were used using a constant liquid (water) superficial velocity of 0.17 ms^-1 in all the cases. Numerically, a two dimensional Eulerian-Eulerian (E-E) CFD model incorporating kinetic theory of granular flow (KTGF) was developed to predict the bed expansion behaviour. It was observed that complete bed segregation occurred when the difference between the solid particle diameters was higher while lower difference in particle diameters led to partial bed segregation. The CFD model also predicted these behaviours which were in good agreement with the experimental data.]]> Sat 24 Mar 2018 07:26:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32963 Mon 23 Sep 2019 13:30:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34359 Mon 23 Sep 2019 11:15:35 AEST ]]>