Flat Drag Reduction Method Based on Biomimetic Fish-body Structure
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摘要: 海洋环境复杂, 流速变化幅度大, 一般的减阻方式在海洋中表现不稳定, 为更好地适应海洋环境, 文中提出一种新型减阻方法, 并通过数值仿真与试验的方法验证了减阻效果。首先根据仿生学原理, 选择推进方式为靠身体/尾鳍游动模式的鱼类作为研究对象, 仿照鱼体重新建立模型。其次, 通过数值仿真的方法研究模型长度、高度和厚度对减阻效果的影响, 总结减阻规律并初步探究其减阻机理。通过流体试验验证了数值仿真的正确性。试验结果表明, 随着模型长度的增加, 其减阻效果会逐渐变差, 但产生最佳减阻效果时的流速并不受长度的影响; 模型高度的变化对整体减阻效果有很大影响; 随着厚度的增加, 模型将在更大的流速范围内出现减阻效果。重新建立的模型可以有效降低阻力, 并具有广泛的流速适用范围, 可以更好地适应海洋环境。Abstract: Ocean environments are complex, wherein the variation in flow velocity is wide and the general drag reduction mode with robots is unstable. In this study, a new drag reduction method is proposed for robots to better adapt to ocean environments. The effect of drag reduction is verified by numerical simulations and experiments. First, based on the principle of bionics, a robot fish operating under a body and/or caudal fin(BCF) mode is selected as the research object, and the model is reconstructed to duplicate the fish body. Second, the effects of model length, height, and thickness on drag reduction are studied by numerical simulation. The law of drag reduction is also summarized, and the mechanism of drag reduction is investigated intensively. The correctness of the numerical simulation is verified through a fluid experiment. Experimental results show that with an increase in the model length, the effect of drag reduction is gradually worsened. However, the flow velocity that preforms the best drag reduction effect is not affected by the length. The effect of drag reduction is greatly affected by the change in model height. With an increase in model thickness, the range of flow velocity that preforms drag reduction increases. The reconstructed model effectively reduces drag and has a wide range of flow velocity applications, thus enabling better adaptation to ocean environments
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Key words:
- biomimetic fish /
- drag reduction /
- hydrodynamic experiment
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