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International Journal of Fluid Mechanics Research

Published 6 issues per year

ISSN Print: 2152-5102

ISSN Online: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

Effect of Labyrinth Cavities on Cavitation Reduction in a Conical Valve

Volume 35, Issue 5, 2008, pp. 395-416
DOI: 10.1615/InterJFluidMechRes.v35.i5.10
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ABSTRACT

High-intensity cavitation occurring in water flow past a valve causes vibration, noise, fatigue, and erosion of the valve and the associated piping. This paper aims to reduce cavitation through a design modification on the tapering body of a conical valve. The flow and cavitation characteristics of two different 1 in sized hydraulic conical valves have been investigated. The first one is a conventional conical valve (CCV). The newly designed second valve has labyrinth cavities on the conical valve body and hence is named the labyrinth conical valve (LCV). Computational fluid dynamics (CFD) simulations identified LCV to cavitate less than CCV. To validate the CFD predictions, different experiments were conducted. The predicted mass flow rates were found to be in close agreement with the experimental results. The bubble flow patterns of the valves were indistinguishable in visual observation. Hence, a detailed digital image processing (DIP) analysis was invoked. It showed that the cavitating flow through a LCV possessed both less bubble pixel count and bubble image entropy attributable to low cavitation. Further endorsement was obtained through a bacterial testing method using the interesting fact that cavitation can disinfect water. This test indicated that the number of E. coli bacterial colonies in the water handled by a LCV is larger compared to that of a CCV, thus confirming that the LCV is a low-cavitation valve.

CITED BY
  1. Asok S.P., Sankaranarayanasamy K., Sundararajan T., Vaidyanathan G., Kumar K. Udhaya, Pressure drop and cavitation investigations on static helical-grooved square, triangular and curved cavity liquid labyrinth seals, Nuclear Engineering and Design, 241, 3, 2011. Crossref

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