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Experimental study on pipeline drag reduction characteristics based on polymer solution Injection
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Pengfei SHI1, Haibao HU1, Jun WEN1, Hailang SUN1, 2, Luo XIE1, 3, 4, *
Journal of Experiments in Fluid Mechanics | 2026, 40(3) : 29 - 38
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Journal of Experiments in Fluid Mechanics | 2026, 40(3): 29-38
Special Issue on Outstanding Papers at the 14th National Conference on Experimental Fluid Mechanics
Experimental study on pipeline drag reduction characteristics based on polymer solution Injection
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Pengfei SHI1, Haibao HU1, Jun WEN1, Hailang SUN1, 2, Luo XIE1, 3, 4, *
Affiliations
  • 1School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
  • 2China Ship Scientific Research Center, Wuxi 214082, China
  • 3Xi'an Tianhe Defense Technology Co., Ltd, Xi’an 710019, China
  • 4Xi’an Tianhe Maritime Technologies Co., Ltd, Xi’an 710019, China
Published: 2026-06-25 doi: 10.11729/syltlx20250101
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Adding a trace amount of polymer into turbulent flow can significantly reduce wall friction. This drag reduction technique has been widely applied in fields such as fire-fighting, pipeline transportation, and biomedicine. Polyethylene oxide (PEO) is an efficient drag-reducing polymer, whose performance is affected by multiple parameters. In this study, a gravity-driven circulating pipe-flow system is employed to experimentally investigate the drag reduction characteristics of PEO solution injection in turbulent pipe flow. The effects of Reynolds number, injection angle (seven angles), injection rate and relative molecular mass (total of 7 kinds) on the drag reduction rate (RD) are systematically examined. A normalized polymer flux Kp, which is suitable for pipe flow, is proposed to collapse the experimental data. Results show that RD initially increases roughly linearly with lg Kp and then approaches a saturation level. This trend is analogous to the previously reported K-scaling law for polymer injection in turbulent boundary layers. Moreover, the dependence of RD on molecular weight exhibits an S-shaped trend. By fitting the data with a sigmoidal function, the optimal molecular weight range for maximum drag reduction can be predicted. These findings provide useful guidance for the optimization and prediction of polymer injection parameters in drag-reduced turbulent pipe flows.

polymer  /  injection  /  drag reduction  /  turbulence  /  relative molecular mass
Pengfei SHI, Haibao HU, Jun WEN, Hailang SUN, Luo XIE. Experimental study on pipeline drag reduction characteristics based on polymer solution Injection[J]. Journal of Experiments in Fluid Mechanics, 2026 , 40 (3) : 29 -38 . DOI: 10.11729/syltlx20250101
Year 2026 volume 40 Issue 3
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Article Info
doi: 10.11729/syltlx20250101
  • Receive Date:2025-11-03
  • Online Date:2026-09-02
  • Published:2026-06-25
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  • Received:2025-11-03
  • Revised:2026-02-03
  • Accepted:2026-02-13
Affiliations
    1School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
    2China Ship Scientific Research Center, Wuxi 214082, China
    3Xi'an Tianhe Defense Technology Co., Ltd, Xi’an 710019, China
    4Xi’an Tianhe Maritime Technologies Co., Ltd, Xi’an 710019, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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