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Direct numerical simulation of a turbulent 90° bend pipe flow
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Engineering Sciences (SCI), Mechanics.ORCID iD: 0000-0002-1663-3553
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, School of Engineering Sciences (SCI), Mechanics.ORCID iD: 0000-0001-9627-5903
2018 (English)In: International Journal of Heat and Fluid Flow, ISSN 0142-727X, E-ISSN 1879-2278, Vol. 73, p. 199-208Article in journal (Refereed) Published
Abstract [en]

Direct numerical simulation (DNS) has been performed for a spatially developing 90° bend pipe flow to investigate the unsteady flow motions downstream of the bend. A recycling method is implemented to generate a fully-developed turbulent inflow condition. The Reynolds number of the pipe flow is ReD=5300 and the bend curvature is γ=0.4. A long straight pipe section (40D) is attached in the downstream of the bend to allow the flow to develop. Flow oscillations downstream of the bend are measured using several methods, and the corresponding oscillation frequencies are estimated. It is found that different characteristic frequencies are obtained from various flow measurements. The stagnation point movement and single-point velocity measurements may not be good measures to determine the swirl-switching frequency. The oscillations of the lateral pressure force on the pipe wall and half-sided mass flow rate are proposed to be a more unambiguous measure of the unsteady flow motions downstream of the bend. 

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 73, p. 199-208
Keywords [en]
90 degrees bend, Conditional averaging, Curved pipe, DNS, Swirl switching, Turbulent pipe flow, Direct numerical simulation, Flow rate, Numerical models, Pipe flow, Reynolds number, Turbulent flow, Characteristic frequencies, Curved pipes, Oscillation frequency, Stagnation points, Turbulent inflow conditions, Oscillating flow
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-236662DOI: 10.1016/j.ijheatfluidflow.2018.08.003ISI: 000452345000017Scopus ID: 2-s2.0-85052536769OAI: oai:DiVA.org:kth-236662DiVA, id: diva2:1262795
Note

Export Date: 22 October 2018; Article; CODEN: IJHFD; Correspondence Address: Chung, Y.M.; School of Engineering and Centre for Scientific Computing, University of WarwickUnited Kingdom; email: y.m.chung@warwick.ac.uk; Funding details: University of Warwick; Funding details: EP/L000261/1, EPSRC, Engineering and Physical Sciences Research Council; Funding text: This work has been supported by the Engineering and Physical Sciences Research Council grant no EP/L000261/1 . The authors would like to thank Professor Paul Fischer for the help in using Nek5000 . Simulations were performed on ARCHER, the UK National Supercomputing Service. This work also used the HPC facilities (Tinis) at the Centre for Scientific Computing, University of Warwick. QC 20181113

Available from: 2018-11-13 Created: 2018-11-13 Last updated: 2019-10-18Bibliographically approved

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Örlü, RamisSchlatter, Philipp

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