scholarly journals Supplemental data table for "Stage-discharge Relationships of Drawdown Plates for Denitrifying Woodchip Bioreactors"

2021 ◽  
Author(s):  
Bryan Maxwell ◽  
Richard Cooke ◽  
Reid Christianson ◽  
Laura Christianson

Table with height of water in the control structure upstream and downstream of the drawdown plate, head difference across the plate, and measured flow rate.

2021 ◽  
Author(s):  
Bryan Maxwell ◽  
Richard Cooke ◽  
Reid Christianson ◽  
Laura Christianson

Table with height of water in the control structure upstream and downstream of the drawdown plate, head difference across the plate, and measured flow rate.


2017 ◽  
Vol 43 (5) ◽  
pp. 981-992
Author(s):  
Xiaowei Zhou ◽  
Chunming Xia ◽  
Gandy Stephen ◽  
Faisel Khan ◽  
George A. Corner ◽  
...  

2020 ◽  
Vol 2020 (0) ◽  
pp. F08103
Author(s):  
Yuta UCHIYAMA ◽  
Ryo MORITA ◽  
Shuichi UMEZAWA ◽  
Masayuki IBI ◽  
Hirotoshi TAIRA ◽  
...  

KOVALEN ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 139-145
Author(s):  
Delta Rinanda Duda ◽  
Syaiful Bahri ◽  
Jaya Hardi ◽  
Nov Irmawati Inda

The absorption of Fe (III) metal in brackish water in the Balaroa Village, West Palu District using Cassava peels (Manihot utillisima Pohl) has been carried out. The aim of this study is determining the lifetime of cassava peels (Manihot utillisima Pohl) on the absorption of Fe (III) ions in brackish water. The research was conducted in a simple purification water system. Brackish water was flowed through the simple purification water system containing Cassava peels (Manihot utillisima Pohl) with a volume of brackish water is 10 liters per day (measured flow rate) and been analyzed every 2 days using UV-Vis spectrophotometry for less than 1 month. The results of the study show that cassava peel could be used as biosorbent to absorb and reduce level of Fe (III) ions in brackish water for 2.821 months. The concentration of Fe (III) ions in brackish water in Balaroa Village, West Palu District is 1.666 ppm. Keywords : Fe (III) Ion, Biosorbent, Cassava Peel


Author(s):  
Aaron J. Knobloch ◽  
Joell R. Hibshman ◽  
George Wu ◽  
Rich Saia

This study summarizes a fundamental investigation of flow through an array of silicon micromachined rectangular slots. The purpose of the study is to evaluate the effect of entrance pressure, flow area, orifice thickness, slot length, and slot width of the orifice on flow rate. These orifices were fabricated using a simple frontside through wafer DRIE process on a 385 μm thick wafer and wafer bonding to create thicker orifices. The dies were then packaged as part of a TO8 can and flow tested. To complement the results of this experimental work, two simple flow models were developed to predict the effect of geometrical and entrance conditions on the flow rate. These models were based on macroscale assumptions that were not necessarily true in the case of thin orifices. One relationship was based on Pouiselle flow which assumes fully developed flow conditions. Calculation of the entry length required for fully developed flow indicate that in the low Reynolds Number regime (32-550) evaluated, the entry flow development requires 2-8 times the thickness of the thickest orifices used for this study. Therefore, calculations of orifice flow based on a Pouiselle model are an overestimate of the actual measured flow rates. Another model examined typical orifice relationships using head loss at the entrance and exit of the slots did not accurately capture the particular flow rates since it overestimated the expansion or constriction losses. A series of experiments where the pressure was varied between 75 and 1000 Pa were performed. A comparison of the Pouiselle flow solution with experimental results was made which showed that the Pouiselle flow model overpredicts the flow rates and more specifically, the effect of width on the flow rates. The results of these tests were used to develop a transfer function which describes the dependence of flow rate on orifice width, thickness, length, and inlet pressure.


1995 ◽  
Vol 117 (3) ◽  
pp. 479-484 ◽  
Author(s):  
H. Tsukamoto ◽  
H. Yoneda ◽  
K. Sagara

A theoretical and experimental study has been made on the dynamic characteristics of a centrifugal pump subject to sinusoidal changes in rotational speed. Time-dependent rotational speed, flow-rate, and total pressure rise are measured for a variety of amplitude and frequency of the fluctuating rotational speed. Measured flow-rate as well as total pressure rise is compared with the quasi-steady ones. Unsteady flow analysis is made for a two-dimensional circular cascade by use of the singularity method. The calculated frequency characteristics are compared with the corresponding experimental ones. The deviation of unsteady characteristics from quasi-steady ones is evident, and the numerical results agree qualitatively with the measured ones. It was found that with the increased frequency of rotational speed fluctuations the dynamic characteristics deviate remarkably from quasi-steady ones. Moreover, a criterion for the assumption of quasi-steady change is presented.


Author(s):  
Elaheh Alidoosti ◽  
Jian Ma ◽  
Yingtao Jiang ◽  
Taleb Moazzeni

In the environments of high temperature (>300 °C – 1000 °C), corrosive and even irradiation application, the challenges of providing reliable and accurate flow rate measurement is significant. In comparing with many other existing technologies for normal operation environments, correlated thermal transit-time flow meter show its advantages of resolving the challenges encountered in those harsh conditions. The correlated thermal signals can be detected by two separated thermal sensors (for example, thermocouples) in series alignment along the pipe, and derive the flow rate. It was evaluated to have accurate measurement for small pipe at slow fluid speed. In the higher flow rate and big pipe size application, this technology shows its weakness due to the limitations associated with slow response time of thermal sensor, dimension, and low strength of thermal signal. In this paper, we present a sophisticated layout of thermal transit-time flow meter with numerical simulation and experiments. By numerical results, we observed that the obtained flow in the bypass route is linearly proportional to the main flow over higher range of flows showing that the measured flow is successfully extended to high range and with stable and accurate measurement results.


2010 ◽  
Vol 36 (11) ◽  
pp. 1957-1964 ◽  
Author(s):  
Peter R. Hoskins ◽  
Monica Soldan ◽  
Steven Fortune ◽  
Scott Inglis ◽  
Tom Anderson ◽  
...  

Author(s):  
Dong Gun Lee ◽  
Daniel D. Shin ◽  
Gregory P. Carman

The fabrication, analysis, and testing of a large flow rate and high frequency microvalve array are presented in this paper. The array consists of 88-microvalves fabricated on a silicon-on-insulator (SOI) substrate. The SOI wafer simplifies the fabrication process and eliminates the need for multi-layer surface micromachining process and bulk wafer-bonding procedures. The analytical resonant frequency of the valve is up to 50 kHz and operates at high delta pressures (i.e. 0.14 MPa). The microvalves are fabricated with various flap widths ranging from 300 to 400 μm and flap thickness ranging from 10 to 13 μm. The results indicate that flap displacement and flow rate are strongly dependent on flap thicknesses and to a lesser degree on flap widths increases. The resonance frequency with valve flap thickness increases and width decreases. Comparison between predicted and measured flow rate shows good agreement. A flow rate up to 35 cc/sec was measured. A failure criterion is also presented using the fracture stress analysis and shows good agreement with experimental result.


2015 ◽  
Vol 17 (2) ◽  
pp. 257-270 ◽  

<div> <p>This paper deals with prediction of the response of karstic springs by means of artificial neural networks (ANNs). A feed-forward back propagation ANN with three layers has been developed, to predict flow rates of two karstic springs, located at Rouvas area, Crete, Greece, using rainfall data as input. While the number of neurons of the input and output layers was determined by choice of data and desired output respectively, the number of neurons of the hidden layer was decided by means of numerous tests. Data used in ANN training and testing include daily and monthly precipitation depths (from September, 2006 to December, 2010) and measured flow rates of the two springs (from April, 2007 to December, 2010). Results show that the trained artificial neural network performed well, although flow rate measurements were not very regular. Moreover, the possibility of estimating the flow rate of one spring, based on measurements of the other has been investigated. Again the ANN gave satisfactory results. All spring flow rate and rainfall measurements are presented as an appendix, to facilitate further scientific research in the area of ANN application to water resources management.</p> </div> <p>&nbsp;</p>


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