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contributor authorLai
contributor authorFen;Huang
contributor authorMaoli;Wu
contributor authorXiaofei;Nie
contributor authorChanghua;Li
contributor authorGuojun
date accessioned2022-08-18T12:55:42Z
date available2022-08-18T12:55:42Z
date copyright5/19/2022 12:00:00 AM
date issued2022
identifier issn0098-2202
identifier otherfe_144_10_101206.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287117
description abstractLocal entropy generation is derived from the second law of thermodynamics, which can directly identify the source of irreversible dissipation and learn more about the physical mechanism of performance degradation. Zwart cavitation model is modified to clarify the rapid head drop of a cavitation flow within a test centrifugal pump, and it is used to simulate the cavitation flow. Local entropy generation method is used to analyze the cavitation flow with varying net positive suction head. The magnitude of entropy generation in different types and regions is compared. Spatial distribution of turbulent and near-wall entropy generation are analyzed. Results show that the modified Zwart cavitation model can better capture the cavity morphology and its evolution. Turbulent and near-wall entropy generations, which mainly concentrate on the impeller, have a large proportion of total entropy generation. The rapid increase in fluctuating velocity entropy generation near the impeller blade pressure side and near-wall entropy generation near the trailing edge of the impeller blade are the main reasons for the rapid head drop within a test centrifugal pump. The sources of turbulent and near-wall entropy generation are vortex and shear stress, respectively.
publisherThe American Society of Mechanical Engineers (ASME)
titleLocal Entropy Generation Analysis for Cavitation Flow Within a Centrifugal Pump
typeJournal Paper
journal volume144
journal issue10
journal titleJournal of Fluids Engineering
identifier doi10.1115/1.4054467
journal fristpage101206-1
journal lastpage101206-15
page15
treeJournal of Fluids Engineering:;2022:;volume( 144 ):;issue: 010
contenttypeFulltext


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