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Yongxue ZHANG Hucan HOU Zhenlin LI


Inspired by wide application of the second law of thermodynamics to flow and heat transfer devices, local entropy production analysis method was creatively introduced into energy assessment system of centrifugal water pump. Based on Reynolds stress turbulent model and energy equation model, the steady numerical simulation of the whole flow passage of one IS centrifugal pump was carried out. The local entropy production terms were calculated by user defined functions, mainly including wall entropy production, turbulent entropy production and viscous entropy production. The numerical results indicated that the irreversible energy loss calculated by the local entropy production method agreed well with  that calculated by the traditional method but with some deviations which were probably caused by high rotatability and high curvature of impeller and volute. The wall entropy production and turbulent entropy production took up large part of the whole entropy production about 48.61% and 47.91% respectively, which indicated that wall friction and turbulent fluctuation were the major factors in affecting irreversible energy loss. Meanwhile, the entropy production rate distribution was discussed and compared with turbulent kinetic energy dissipation rate distribution, it showed that turbulent entropy production rate increased sharply at the near wall regions and both distributed more uniformly. The blade region in leading edge near suction side, trailing edge and volute tongue were the main regions to generate irreversible exergy loss. This research broadens a completely new view in evaluating energy loss and further optimizes pump using entropy production minimization.

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ZHANG, Yongxue; HOU, Hucan; LI, Zhenlin. A NUMERICALLY RESEARCH ON ENERGY LOSS EVALUATION IN A CENTRIFUGAL PUMP SYSTEM BASED ON LOCAL ENTROPY PRODUCTION METHOD. Thermal Science, [S.l.], mar. 2017. ISSN 2334-7163. Available at: <http://thermal-science.tech/journal/index.php/thsci/article/view/2181>. Date accessed: 24 nov. 2017. doi: https://doi.org/10.2298/TSCI150702143H.
Received 2017-03-03
Accepted 2017-03-13
Published 2017-03-13


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