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针对影响高重频激光降低超声速波阻的因素多而复杂的问题,研究关键无量纲参数对减阻性能的影响规律,目的是揭示其影响新机理,提出其选择新方法。首先采用量纲分析的方法提炼影响高重频激光减阻的关键无量纲参数,然后通过求解N-S方程研究各个无量纲参数对减阻性能的影响规律以及它们之间的制约关系,并通过流动分析揭示其影响原因,最后提出无量纲参数的优化选择方案。结果表明:高重频激光减阻性能取决于无量纲激光能量大小、激光注入位置和来流马赫数;减阻百分比和能量效率与无量纲激光能量大小呈指数关系,与激光注入位置呈先上升后下降的关系,减阻百分比与马赫数呈指数关系,能量效率与马赫数呈先上升后下降的关系,在马赫6时能量效率达到14左右;激光能量大小和注入位置对减阻性能的影响密切相关,存在优化的激光能量大小和注入位置,随着能量的提高,优化位置由1.5逐渐提高至2.6左右,提高幅度逐渐减小。研究结果揭示了关键参数对高重频激光减阻性能的影响规律,提出了关键参数的选择方法。
Aiming at the problem of many and complicated factors which affect the reduction of supersonic wave resistance by high repetition laser, the influence law of key dimensionless parameters on drag reduction performance is studied in order to reveal its new mechanism of influence and propose a new selection method. Firstly, dimensionless analysis method is used to extract the key dimensionless parameters that influence high-frequency laser drag reduction. Then the influence of each dimensionless parameter on the drag reduction performance is studied by solving the NS equation, and the relationship between them is analyzed. Reveal the reasons for its impact, and finally propose the optimal choice of dimensionless parameters. The results show that the drag reduction performance of high-frequency laser depends on the dimensionless laser energy, laser injection position and Mach Mach number. The drag reduction percentage and energy efficiency are exponential with the dimensionless laser energy, The relationship between the drag reduction and the Mach number is exponential, the energy efficiency and the Mach number first increased and then decreased, the Mach 6 energy efficiency reached 14 or so; laser energy size and injection position on the drag reduction performance Closely related, there exists an optimized laser energy size and implantation position. With the increase of energy, the optimized position gradually increases from 1.5 to 2.6, and the improvement amplitude decreases gradually. The results reveal the influence of key parameters on the drag reduction performance of high-frequency laser, and propose the method to choose the key parameters.