- Title
- A continuum simulation model for the reflux classifier
- Creator
- Syed, Naveed; Dickinson, Jamie; Galvin, Kevin P.; Moreno-Atanasio, Roberto
- Relation
- APCChE 2015 Congress incorporating Chemeca 2015. Proceedings of APCCHE 2015/Chemeca 2015 (Melbourne 27 September - 1 October, 2015)
- Publisher
- Engineers Australia
- Resource Type
- conference paper
- Date
- 2015
- Description
- A 2-D model for continuous processing has been developed to study the segregation and dispersion of multicomponent systems in the Reflux Classifier (RC). The fluidized and inclined sections in the RC were divided into different shells and elements in the y and x directions, respectively. The amount of solids of a given species that moved from one shell to another either in the x or y directions was calculated through the sum of the dispersion and segregation fluxes. Within the inclined channel a parabolic profile was assumed for the net flux (solids plus water). A detailed flux balance was carried at different shells within the inclined channel in order to demonstrate the accuracy of the model. Two particle species with densities equal to 1400 kg/m3 and 2400 kg/m3, and size of 0.3 mm were considered in the simulations. These particle properties corresponded to settling velocities of 0.0186 m/s and 0.0336 m/s. The model has also been tested for multiple particle species and the partition curves have been plotted for different underflow velocities. The simulations have shown the capacity of the RC to retain heavy components even at hydraulic velocities larger than the settling velocities, due the existence of the inclined channels, while the lighter components reported to the overflow. In addition, this 2-D continuum modelling has shown significant advantages over discrete particle methods as this method does not show unrealistic phenomena, such as blockages of narrow one-dimensional channels.
- Subject
- continuum model; dispersion; inclined channel; Reflux Classifier; segregation
- Identifier
- http://hdl.handle.net/1959.13/1308626
- Identifier
- uon:21685
- Language
- eng
- Reviewed
- Hits: 2690
- Visitors: 2623
- Downloads: 7