2018
DOI: 10.1016/j.expthermflusci.2018.04.013
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Unsteady flow structure and its evolution in a low specific speed centrifugal pump measured by PIV

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Cited by 80 publications
(25 citation statements)
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“…The indirect measurement method is to measure and analyze the parameters that are related to flow-induced noise such as pressure [73][74][75], velocity [12,[76][77][78] and vibration signal [79][80][81][82][83], then establish the relationship between these parameters and flow-induced noise. Different from the indirect measurement, the direct measurement is more convenient and it is realized by measuring the flow-induced noise directly.…”
Section: Experimental Measurement Studymentioning
confidence: 99%
“…The indirect measurement method is to measure and analyze the parameters that are related to flow-induced noise such as pressure [73][74][75], velocity [12,[76][77][78] and vibration signal [79][80][81][82][83], then establish the relationship between these parameters and flow-induced noise. Different from the indirect measurement, the direct measurement is more convenient and it is realized by measuring the flow-induced noise directly.…”
Section: Experimental Measurement Studymentioning
confidence: 99%
“…The results showed that the internal flow was affected by the RSI at 0.2 times of design flow rate, and as a result, the internal flow is disordered; conspicuous backflow and vortex flow occurred at different phases. The PIV measuring technique was adopted by Zhang et al [13], and they studied the intense RSI region of flow channel. They found the inflection point of the jet-wake region at the center of blade channel.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The P À1 is the inverse covariance matrix of the whole database X of 25 rows by 400 columns, see matrix in equation 5, where each row is an observation, and each column a variable. The P covariance matrix of X for which the input is ði; jÞ is the covariance calculated using equations (6) and 7, while the inverse covariance P À1 of matrix X is calculated by processing the covariance matrix P using equation (8). Finally, the D M matrix diagonal values from the 25 rows are compared with a threshold to determine if the profile is an outlier or not…”
Section: Technique For 2-d Velocity Profile Enhancementmentioning
confidence: 99%