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Wu W.,Beijing Hydraulic Research Institute | Wu W.,Water saving Engineering Research Center | Chen W.,Tianjin North China Geological Exploration Bureau | Liu H.,Beijing Hydraulic Research Institute | And 7 more authors.
Irrigation and Drainage | Year: 2014

In this study, a dimensional analysis model for disc filters was developed based on hydraulic tests of 10 different types of disc filters together with structural parameters such as the inner diameter of the inlet/outlet pipe Db, the outflow path width Pw, outflow path depth Pb, disc width Dd, etc. The correlation coefficient Radj2 of the model was 0.990. The correlation coefficient between the measured and predicted values of the model was R2 = 0.967. The effects of structural parameter changes on the filter head loss were studied based on the typical physical structural parameters. The inlet/outlet inner diameter was found to have the greatest impact on the head loss. The effects on the head loss resulting from changes in the outflow path width and depth were not significant (P < 0.05). Therefore, when designing the flow path structure of disc filters, the head loss can be effectively minimized by increasing the inlet/outlet inner diameter, inflow path depth, and inner diameter of the disc filter element. In addition, a decrease in the outflow path width and depth can reduce the amount of pollutants entering the flow path without causing a significant increase in the head loss. © 2013 John Wiley & Sons, Ltd. Source


Wu W.,Beijing Hydraulic Research Institute | Wu W.,Water saving Engineering Research Center | Chen W.,Tianjin North China Geological Exploration Bureau | Liu H.,Beijing Hydraulic Research Institute | And 5 more authors.
Irrigation and Drainage | Year: 2014

This study is based on data of the hydraulic analysis of 15 types of screen filters, incorporating such technical parameters as the pipe inlet/outlet inner diameter Dp, angle between filter body and inlet/outlet a, filter pore diameter ds, filter mesh number M, water velocity of inlet/outlet vi, and average water velocity of filter pore vm to develop a dimensional head loss model. The regression coefficient Radj2 is 0.951 and the correlation coefficient R between the measured value and predicted value is 0.97. Using the model to study filter head loss variations as different structure parameters change, and the variation of structure parameters would lead to the changes of vi, vm, Re and Fr, consequently resulting in head loss variation. It was found that the head loss decreases significantly as the inlet/outlet diameter and filter mesh diameter decrease. An increasing angle or filter mesh size (while keeping the filter diameter constant) does not have a significant impact on the screen filter head loss. For the screen filter structural design, the proper inner diameter of inlet/outlet and filter mesh diameter should be selected to reduce both water head loss along the path and local head loss. © 2014 John Wiley & Sons, Ltd. Source

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