Influence of Solids Concentration, Particle Size Distribution, pH and Temperature on Yield Stress of Bauxite Pulp

2011 ◽  
pp. 47-50
Author(s):  
Carla Napoli Barbato ◽  
Silvia Cristina Alves França ◽  
Márcio Nele de Souza
2014 ◽  
Vol 266 ◽  
pp. 203-209 ◽  
Author(s):  
Alireza Kashani ◽  
Rackel San Nicolas ◽  
Greg G. Qiao ◽  
Jannie S.J. van Deventer ◽  
John L. Provis

2010 ◽  
Vol 64 (5) ◽  
pp. 365-374 ◽  
Author(s):  
Aoyi Ochieng ◽  
Mrice Onyango

Many chemical reactions are carried out using stirred tanks, and the efficiency of such systems depends on the quality of mixing, which has been a subject of research for many years. For solid-liquid mixing, traditionally the research efforts were geared towards determining mixing features such as off-bottom solid suspension using experimental techniques. In a few studies that focused on the determination of solids concentration distribution, some methods that have been used have not been accurate enough to account for some small scale flow mal-distribution such as the existence of dead zones. The present review shows that computational fluid dynamic (CFD) techniques can be used to simulate mixing features such as solids off-bottom suspension, solids concentration and particle size distribution and cloud height. Information on the effects of particle size and particle size distribution on the solids concentration distribution is still scarce. Advancement of the CFD modeling is towards coupling the physical and kinetic data to capture mixing and reaction at meso- and micro-scales. Solids residence time distribution is important for the design; however, the current CFD models do not predict this parameter. Some advances have been made in recent years to apply CFD simulation to systems that involve fermentation and anaerobic processes. In these systems, complex interaction between the biochemical process and the hydrodynamics is still not well understood. This is one of the areas that still need more attention.


1997 ◽  
Vol 36 (4) ◽  
pp. 159-165 ◽  
Author(s):  
H. Landa ◽  
A. Capella ◽  
B. Jiménez

The filtration efficiency of an Advanced Primary Treatment System (APT) was analyzed in terms of suspended solids concentration, particle size distribution and helminth eggs counts. A study was carried out on three one-metre deep sand filters with a specific size (ES) of 0.6, 0.8 and 1.2 mm. More than 50 runs were done with operating rate of 7, 10, 12 and 15 m/h. Basic design-related information was obtained for the APT system. A filter with a 1.2 mm ES provided the best effluent, with 0.1 Helminth egg/L. The average suspended solid concentration in the effluent was 39 mg/L. The most recommendable filtration rate was 10 m/h with a run time of 33 h. A study of the particle distribution was made for each step of the process based on size.


1973 ◽  
Vol 95 (1) ◽  
pp. 75-77
Author(s):  
Harley Y. Jennings

This paper describes our laboratory study of the flow behavior of aqueous hemalite slurries. Viscosity and flow data are given for slurries of up to 40 percent hematite by volume (76 percent by weight). These results show that solids concentration and particle size distribution have much more effect on flow than does temperature. These and supporting laboratory data are discussed in terms of practical problems in pipelining slurries.


2009 ◽  
Vol 1 (3) ◽  
pp. 263-281 ◽  
Author(s):  
K. V. Pagalthivarthi ◽  
J. S. Ravichandra ◽  
S. Sanghi ◽  
P. K. Gupta

Erosion wear prediction in fully developed multi-size particulate flow through horizontal pipes is carried out numerically using Galerkin finite element methodology. The predicted multi-size particulate flow field near the pipe wall is correlated with wear rates via empirically determined wear coefficients. The wear models for particle impact and sliding take into account the broad particle size distribution. The effects of various operating parameters such as flow rate, solids concentration, solids density, particle size, particle size distribution and so forth has been studied. Normalized predicted wear rates are compared with published experimental results and are found to be within an average error of 16.5% with respect to experimental observations. Different wear trends with different flow parameters indicate the existence of a very complex relationship between wear rate and the flow governing parameters. A major conclusion is that accurate wear prediction could be obtained by characterizing the particle size distribution into suitable number of size classes, and accounting for the particle-size dependence in the wear model(s).


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