TY - JOUR
T1 - Simulation and mechanism of the synergistic drag reduction performance of two types of microgroove surfaces and mucus
AU - Zhang, Kaisheng
AU - Li, Jing
AU - Zhang, Chuangchuang
AU - Zhang, Jing
AU - Zhang, Baocheng
N1 - Publisher Copyright:
© 2025 Elsevier Inc.
PY - 2025/9
Y1 - 2025/9
N2 - Wall friction resistance during underwater travel reduces propulsion efficiency and generates significant noise. While several drag reduction methods inspired by bionic principles have been proposed, they often fail to sustain high drag reduction over time. In this study, we optimize conventional rectangular grooves and design two new groove structures, with mucus secretion pores positioned below them. Rheological experiments on various drag-reducing agents reveal that the bionic mucus follows the Carreau model, and simulations identify the most effective mucus for drag reduction. A hydrodynamic model is developed to examine the synergistic effect of the drag-reducing grooves and bionic mucus, which is solved using large vortex simulations and analyzed accordingly. The results indicate that the highest drag reduction rate (37.5 %) is achieved when the mucus secretion velocity is 0.25 m/s in the curved groove. Using vortex dynamics theory, we propose a function that relates drag reduction rate to vortex volume for quantitative analysis. The theoretical calculations show a positive correlation between drag reduction and mucus secretion speed, consistent with the simulation results. We conclude that the drag reduction mechanism involves the combination of microgrooves and mucus, which reduces the number and density of vortex structures near the wall, slows their evolution, and weakens turbulence intensity, leading to drag reduction. By integrating simulation and theory, this study offers a reference for theoretical drag reduction calculations and presents new insights for designing drag-reducing surfaces.
AB - Wall friction resistance during underwater travel reduces propulsion efficiency and generates significant noise. While several drag reduction methods inspired by bionic principles have been proposed, they often fail to sustain high drag reduction over time. In this study, we optimize conventional rectangular grooves and design two new groove structures, with mucus secretion pores positioned below them. Rheological experiments on various drag-reducing agents reveal that the bionic mucus follows the Carreau model, and simulations identify the most effective mucus for drag reduction. A hydrodynamic model is developed to examine the synergistic effect of the drag-reducing grooves and bionic mucus, which is solved using large vortex simulations and analyzed accordingly. The results indicate that the highest drag reduction rate (37.5 %) is achieved when the mucus secretion velocity is 0.25 m/s in the curved groove. Using vortex dynamics theory, we propose a function that relates drag reduction rate to vortex volume for quantitative analysis. The theoretical calculations show a positive correlation between drag reduction and mucus secretion speed, consistent with the simulation results. We conclude that the drag reduction mechanism involves the combination of microgrooves and mucus, which reduces the number and density of vortex structures near the wall, slows their evolution, and weakens turbulence intensity, leading to drag reduction. By integrating simulation and theory, this study offers a reference for theoretical drag reduction calculations and presents new insights for designing drag-reducing surfaces.
KW - Bionic mucus
KW - Drag reduction mechanism
KW - Numerical simulation
KW - Surface microstructure
KW - Synergistic drag reduction
UR - https://www.scopus.com/pages/publications/105002251988
U2 - 10.1016/j.ijheatfluidflow.2025.109837
DO - 10.1016/j.ijheatfluidflow.2025.109837
M3 - 文章
AN - SCOPUS:105002251988
SN - 0142-727X
VL - 115
JO - International Journal of Heat and Fluid Flow
JF - International Journal of Heat and Fluid Flow
M1 - 109837
ER -