Model of separation performance of bilinear gradients in scanning format counter-flow gradient electrofocusing techniques

2014 ◽  
Vol 36 (5) ◽  
pp. 668-674 ◽  
Author(s):  
Seyed Mostafa Shameli ◽  
Tomasz Glawdel ◽  
Carolyn L. Ren
Keyword(s):  
Separation Performance ◽  
Counter Flow ◽  
Flow Gradient

Counter-flow gradient electrofocusing

2007 ◽  
Vol 28 (4) ◽  
pp. 556-571 ◽  
Author(s):  
Jonathan G. Shackman ◽  
David Ross
Keyword(s):  
Counter Flow ◽  
Flow Gradient

DYNAMICS OF COUNTER-FLOW INJECTION FOR WAVE DRAG REDUCTION

2018 ◽  
Author(s):  
Vishnu Prakash K ◽  
Siddesh Desai ◽  
Hrishikesh Gadgil ◽  
Vinayak Kulkarni
Keyword(s):  
Drag Reduction ◽  
Flow Injection ◽  
Wave Drag ◽  
Counter Flow ◽  
Wave Drag Reduction

PERFORMANCE ANALYSIS OF DOUBLE PASS COUNTER FLOW SOLAR AIR HEATER FOR DRYING APPLICATION

2018 ◽  
Author(s):  
D.V.N. Lakshmi ◽  
Palanisamy Muthukumar ◽  
Dr.Apurba Layek ◽  
Abhimanyu Kumar Singh ◽  
Sushoban Das
Keyword(s):  
Performance Analysis ◽  
Solar Air Heater ◽  
Double Pass ◽  
Counter Flow ◽  
Air Heater

PERFORMANCE ANALYSIS OF MICROCHANNEL COUNTER FLOW HEAT EXCHANGER USING DIFFERENT NANOFLUIDS

2018 ◽  
Author(s):  
Bharath P ◽  
Doddamani Hithaish ◽  
Saravanan Venkatesh ◽  
C K Umesh
Keyword(s):  
Heat Exchanger ◽  
Performance Analysis ◽  
Counter Flow ◽  
Flow Heat

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.

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