Isolated mixing regions and mixing enhancement in a high-viscosity laminar stirred tank

Author(s):  
Qianqian Kang ◽  
Jinfan Liu ◽  
Xin Feng ◽  
Chao Yang ◽  
Jingtao Wang
Author(s):  
S Madhania ◽  
A B Cahyani ◽  
T Nurtono ◽  
Y Muharam ◽  
S Winardi ◽  
...  
Keyword(s):  

1966 ◽  
Vol 30 (10) ◽  
pp. 950-951,a1
Author(s):  
Tsunehiko Uemura ◽  
Eiji O'Shima ◽  
Hakual Inoue
Keyword(s):  

Author(s):  
Hui-Bo Meng ◽  
Ming-Yuan Song ◽  
Yan-Fang Yu ◽  
Xiu-Hui Jiang ◽  
Zong-Yong Wang ◽  
...  

Abstract The laminar chaotic flow and mixing performance of a high-viscosity fluid in Lightnin static mixers (LSM) was numerically investigated via a Lagrangian particle method based on the Particle tracking technique in the range of Re=0.1−100. The numerical results of Z factor have a good agreement with the reported data from the literature. With the increase of Re in LSM, the Darcy friction coefficient values decrease and the product of fD · Re linearly increases. With the same aspect ratio (Ar), the product of fD · Re in LSM is higher by 36−57 % than that of KSM. The distribution evolution of circular group of massless particles is successfully investigated by particle distribution uniformity (PDU) in the first few mixing elements. A new ideal distribution model is proposed for structure radius (SR) which is successfully used to investigate uniform distribution of mixing process in the last few elements. The effects of Re and Ar of mixing elements on dispersive mixing performance are characterized by extensional efficiency and stretching rate. The logarithms of geometrical average stretching rate of massless particles increase linearly with the number of mixing elements. The stretching rate in LSM with Ar=1, 1.5, 2 is average higher by 45.91 %, 36.05 % and 24.32 % than that of KSM with Ar=1.5. As far as the creeping flow in LSM is concerned, the logarithm values of stretching rate are independent of Re and Ar. The mixing performance factor η is proposed to evaluate the enhancement mechanism of mixing performance based on the energy consumption. The η increases with the increasing Re and decreasing Ar. The profiles of η indicate that the mixing enhancement ability of LSM is better than that of KSM.


2009 ◽  
Vol 106 (6) ◽  
pp. 242-247
Author(s):  
C. Damerval ◽  
H. Tavernier ◽  
L. Avedian ◽  
P. Disant ◽  
P. Delfosse ◽  
...  

2016 ◽  
Vol 14 (3) ◽  
pp. 557-561
Author(s):  
Nguyễn Thị Yên ◽  
Kiều Thị Quỳnh Hoa

Lead contaminated wastewater negatively impacts to living organisms as well as humans. In recent years, a highly promising biological process using the anaerobic production of sulfide ions by sulfate-reducing bacteria has presented itself as an alternative option for the removal of lead. This process is based on microbial utilization of electron donors, such as organic compounds (carbon sources), and sulfate as the terminal electron acceptor for sulfide production. The biogenic hydrogen sulfide reacts with dissolved heavy metals to form insoluble metal sulfide precipitates Removal of lead by an enriched consortium of sulfate-reducing bacteria (DM10) was evaluated sulfate reduction, sulfide production and lead precipitation. Four parallel anaerobic continuous stirred tank reactors (CSTR, V = 2L) (referred as R1 - R4) were fed with synthetic wastewater containing Pb2+ in the concentrations of 0, 100, 150 and 200 mg L-1 of lead and operated with a hydraulic retention time of 5 days for 40 days. The loading rates of each metal in R1- R4 were 0, 20, 30 and 40 mg L-1 d-1, respectively. The results showed that there was no inhibition of SRB growth and that lead removal efficiencies of 99-100% for Pb2+ were achieved in R2 (100 mg L-1) and R3 (150 mg L-1) throughout the experiment. For the highest lead concentration of  200 mg L-1, a decrease in efficiency of removal (from 100 to 96%) was observed at the end of the experiment. The obtained result of this study might help for a better control operation and performance improvements of reactors.


1991 ◽  
Vol 1 (3) ◽  
pp. 239-252 ◽  
Author(s):  
Harry N. Buckner ◽  
Paul E. Sojka

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