scholarly journals Computational fluid dynamics comparison of separation performance analysis of uniform and non-uniform counter-flow Ranque-Hilsch Vortex Tubes (RHVTs)

2018 ◽  
Vol 36 (2) ◽  
pp. 643-656 ◽  
Author(s):  
Adib Bazgir ◽  
Nader Nabhani
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Performance Analysis ◽  
Separation Performance ◽  
Counter Flow ◽  
Vortex Tubes

Field testing CFD-based predictions of storage chamber gross solids separation efficiency

1999 ◽  
Vol 39 (9) ◽  
pp. 161-168 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul ◽  
Andrew Drinkwater ◽  
Ian Clifforde
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Settling Velocity ◽  
Separation Efficiency ◽  
Flow Patterns ◽  
Total Efficiency ◽  
Separation Performance ◽  
Storage Chamber ◽  
Solids Separation ◽  
Simulated Flow

The use of computational fluid dynamics-based techniques for predicting the gross solids and finely suspended solids separation performance of structures within urban drainage systems is becoming well established. This paper compares the result of simulated flow patterns and gross solids separation predictions with field measurements made in a full size storage chamber. The gross solids retention efficiency was measured for six different storage chambers in the field and simulations of these chambers were undertaken using the Fluent computational fluid dynamics software. Differences between the observed and simulated flow patterns are discussed. The simulated flow fields were used to estimate chamber efficiency using particle tracking. Efficiency results are presented as efficiency cusps, with efficiency plotted as a function of settling velocity. The cusp represents a range of efficiency values, and approaches to the estimation of an overall efficiency value from these cusps are briefly discussed. Estimates of total efficiency based on the observed settling velocity distribution differed from the measured values by an average of ±17%. However, estimates of steady flow efficiency were consistently higher than the observed values. The simulated efficiencies agreed with the field observations in identifying the most efficient configuration.

Performance analysis of a multi-stage ultra-supercritical steam turbine using computational fluid dynamics

2015 ◽  
Vol 87 ◽  
pp. 352-361 ◽  
Author(s):  
Hyuck Jun Jang ◽  
Soo Young Kang ◽  
Jeong Jin Lee ◽  
Tong Seop Kim ◽  
Seong Jin Park
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Performance Analysis ◽  
Steam Turbine ◽  
Multi Stage

Performance analysis and quantitative design of a flow‐guiding sieve tray by computational fluid dynamics

AIChE Journal ◽  
2019 ◽  
Vol 65 (5) ◽  
pp. e16563 ◽  
Author(s):  
Hongkang Zhao ◽  
Qunsheng Li ◽  
Gangqiang Yu ◽  
Chengna Dai ◽  
Zhigang Lei
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Performance Analysis ◽  
Sieve Tray ◽  
Quantitative Design
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