Flow Behavior of Hematite Slurries

1973 ◽  
Vol 95 (1) ◽  
pp. 75-77
Author(s):  
Harley Y. Jennings
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Laboratory Study ◽  
Flow Behavior ◽  
Laboratory Data ◽  
Flow Data ◽  
Solids Concentration

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.

Laboratory study of the particle-size distribution of Decabromodiphenyl ether (BDE-209) in ambient air

Chemosphere ◽  
2016 ◽  
Vol 144 ◽  
pp. 241-248 ◽  
Author(s):  
Peng-hao Su ◽  
Chun-yan Hou ◽  
Dan Sun ◽  
Dao-lun Feng ◽  
Thor Halldorson ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Laboratory Study ◽  
Ambient Air ◽  
Decabromodiphenyl Ether ◽  
Bde 209

scholarly journals CFD simulation of solids suspension in stirred tanks: Review

2010 ◽  
Vol 64 (5) ◽  
pp. 365-374 ◽  
Author(s):  
Aoyi Ochieng ◽  
Mrice Onyango
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Concentration Distribution ◽  
Cfd Simulation ◽  
Fluid Dynamic ◽  
Cfd Modeling ◽  
Small Scale ◽  
Stirred Tanks ◽  
Solids Concentration

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.

Particle size distribution in an efluent from an advanced primary treatment and its removal during filtration

1997 ◽  
Vol 36 (4) ◽  
pp. 159-165 ◽  
Author(s):  
H. Landa ◽  
A. Capella ◽  
B. Jiménez
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Primary Treatment ◽  
Suspended Solid ◽  
Sand Filters ◽  
Related Information ◽  
Solids Concentration ◽  
Operating Rate ◽  
Suspended Solid Concentration

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.

Sign in / Sign up

Export Citation Format

Share Document