2010
DOI: 10.1016/s1001-6058(09)60038-x
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Flow Characteristics in Energy Dissipation Units of Labyrinth Path in the Drip Irrigation Emitters with DPIV Technology

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Cited by 32 publications
(34 citation statements)
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“…It showed that velocity distribution in the same section had the trend of declining from the center to the side of the path, and the magnitude of the velocity in mainstream region was higher than the flow stagnation region. The velocity characteristics were the same as the result of Liu [10], who observed the flow field with DPIV (Digital Particle Image Velocimetry) technology. The velocity distribution characteristics mean that the two models were suitable to obtain the digitization of the flow field in the drip irrigation emitter.…”
Section: Model Verification and Selectionmentioning
confidence: 57%
See 1 more Smart Citation
“…It showed that velocity distribution in the same section had the trend of declining from the center to the side of the path, and the magnitude of the velocity in mainstream region was higher than the flow stagnation region. The velocity characteristics were the same as the result of Liu [10], who observed the flow field with DPIV (Digital Particle Image Velocimetry) technology. The velocity distribution characteristics mean that the two models were suitable to obtain the digitization of the flow field in the drip irrigation emitter.…”
Section: Model Verification and Selectionmentioning
confidence: 57%
“…LIU [10] employed the DPIV technology to identify that it is easy to happen clog for flow stagnation regions of emitters. Due to the similarity of the flow path structural unit and the velocity distribution in different sections [14], the different cross sections in the same structural unit were selected to analyze the velocity distribution characteristics in the article.…”
Section: Discussionmentioning
confidence: 99%
“…Tracing particles were customized fluorescence polystyrene particles, of which the density was 1.02 kg m À3 and concentration 1-2%. The TSI insight 3G software (TSI, Inc., Shoreview, Minn.) was used for image acquisition and analysis, and the time interval of image sampling was 0.01 s. The specific testing steps of DPIV were shown in Liu et al (2009). Under pressure of 100 kPa, the velocity vector distributions calculated by the standard k-ε model were compared with that acquired by DPIV, as shown in Figure 2 (a).…”
Section: Model Verificationmentioning
confidence: 99%
“…3, the surface topographical characteristics of biofilms inside the unit, unit segments and multilevel unit segments at three levels were monitored (Liu et al 2010). The unit means the smallest and repeatable structure of the labyrinth flow path (e.g., site 1-5 in Fig.…”
Section: Selection Of Monitoring Sitesmentioning
confidence: 99%