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Supercavitation is a revolutionary technique to achieve high drag reduction for underwater vehicle. It can help us to break through the conventional speed barrier. This article presents a numerical algorithm for ventilated supercavitation flow field based on mixture multiphase flow model, briefs the calculation results and compares them with that tested in high-speed water tunnel and towing tank. The mathematical model, its numerical calculation method, computational region and boundary conditions are discussed in detail. Some pertinent nondimensional parameters about the ventilated supercavitation, such as geometrical configuration of supercavity, drag coefficient and ventilation rate are investigated. Reynolds number is selected to predict gas ventilation rate instead of Froude number. Finally, based on the test and simulation results, a semi-empirical formula of the ventilation rate estimation suitable for different conical angle caritators is proposed. 相似文献
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基于免疫遗传算法的图像阈值分割 总被引:2,自引:0,他引:2
基于最大熵准则的图像阈值分割算法是一个图像分割的最优化问题,算法的运算量很大,用一种基于免疫调节机制的免疫遗传算法求解该准则下图像的一组最佳分割阈值,不仅提高了运算速度,而且克服了一般遗传算法的不足,仿真实验证明了该算法对复杂图像的良好分割效果和较强的实时处理能力。 相似文献
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