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全流道的进气道/风扇一体化计算虽然能捕捉到全面、完整的流场细节,但仍然需要消耗大量的计算资源。为了节约计算成本,利用有限的设备达到快速高精度计算的目的,采用自行发展的块体积力模型替代真实叶片进行一体化计算。该模型将叶片流域沿周向等距分成若干块,每个块的体积力源项关联于叶片前缘参数。研究结果表明:该体积力模型能够准确地模拟出流场特征与细节。在均匀来流下,各参数的相对误差在0.5%以内。同时,在大S弯进气道高畸变来流条件下,与冻结转子方法计算结果相比,总压比、总温比和等熵效率的相对误差分别为4.49%,0.26%和2.38%。 相似文献
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针对边界层吸入条件下的跨声速风扇设计问题,提出了一种掠型叶片的设计方法,分析了三种前缘掠角分布对风扇气动性能的影响,并在边界层吸入情况下对比了复合掠型风扇和原型风扇的气动性能和流动特征,探讨了叶片通过低压畸变区过程中的流场变化。研究结果表明,均匀来流时复合掠型风扇没有改变原型风扇堵塞流量,但稳定裕度提高了7.1%;边界层吸入20%进口高度时,复合掠型风扇峰值效率比均匀来流时降低了1.8%;比Rotor67风扇能够在更低的流量工况下承受同等的来流参数畸变流场。在叶片通过畸变区域过程中,退出畸变流场时更容易触发旋转失速。 相似文献
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This paper discusses a physics-informed methodology aimed at reconstructing efficiently the fluid state of a system. Herein, the generation of an accurate reduced order model of two-dimensional unsteady flows from data leverages on sparsity-promoting statistical learning techniques. The cornerstone of the approach is l1 regularised regression, resulting in sparsely-connected models where only the important quadratic interactions between modes are retained. The original dynamical behaviour is reproduced at low computational costs, as few quadratic interactions need to be evaluated. The approach has two key features. First, interactions are selected systematically as a solution of a convex optimisation problem and no a priori assumptions on the physics of the flow are required. Second, the presence of a regularisation term improves the predictive performance of the original model, generally affected by noise and poor data quality. Test cases are for two-dimensional lid-driven cavity flows, at three values of the Reynolds number for which the motion is chaotic and energy interactions are scattered across the spectrum. It is found that: (A) the sparsification generates models maintaining the original accuracy level but with a lower number of active coefficients; this becomes more pronounced for increasing Reynolds numbers suggesting that extension of these techniques to real-life flow configurations is possible; (B) sparse models maintain a good temporal stability for predictions. The methodology is ready for more complex applications without modifications of the underlying theory, and the integration into a cyber-physical model is feasible. 相似文献
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针对航空发动机涡轮叶片气膜冷却孔加工问题,选取GH4037合金为研究对象,利用德国德玛吉精密激光打孔机床进行毫秒激光倾斜打孔试验,并采用COMSOL软件进行仿真。在倾角为15°的情况下,测试了激光光束离焦量分别为负离焦、零离焦和正离焦情况下的打孔质量,在零离焦打孔时,不仅打孔深度较大,且在入口处的圆度较好,横纵向孔径差值最小。在30°和45°2种倾角下进行打孔试验对比,结果表明:在零离焦情况下,激光脉冲数为180、重复频率为60 Hz、脉宽为1 ms、脉冲能量为1.2~1.8 J,且在无辅助气体的斜孔加工条件下,倾斜角度为30°时的孔形形貌较好,倾斜角度为45°时的孔形形貌较差,主要原因在于倾斜角度增大,靶材反射率提高,靶材表面的光斑面积增加,孔口处的燃烧效应增强,产生明显的二次烧蚀现象。采用COMSOL软件的固体传热和变形几何模块对打孔过程进行仿真,仿真结果可在一定程度上预测试验结果。 相似文献
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Andrea DA RONCH Antonino VENTURA Marcello RIGHI Matteo FRANCIOLINI Marco BERCI Daniel KHARLAMOV 《中国航空学报》2018,31(4):617-631
Analytical indicial aerodynamic functions are calculated for several trapezoidal wings in subsonic flow, with a Mach number 0.3 Ma 0.7. The formulation herein proposed extends wellknown aerodynamic theories, which are limited to thin aerofoils in incompressible flow, to generic trapezoidal wing planforms. Firstly, a thorough study is executed to assess the accuracy and limitation of analytical predictions, using unsteady results from two state-of-the-art computational fluid dynamics solvers as cross-validated benchmarks. Indicial functions are calculated for a step change in the angle of attack and for a sharp-edge gust, each for four wing configurations and three Mach numbers. Then, analytical and computational indicial responses are used to predict dynamic derivatives and the maximum lift coefficient following an encounter with a one-minus-cosine gust. It is found that the analytical results are in excellent agreement with the computational results for all test cases. In particular, the deviation of the analytical results from the computational results is within the scatter or uncertainty in the data arising from using two computational fluid dynamics solvers. This indicates the usefulness of the developed analytical theories. 相似文献
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针对无人机(UAV)通信网络中频谱资源紧缺的问题,构建基于认知无线电的多无人机通信网络,通过多机协作频谱感知有效探索授权频谱。提出一种基于Bisection算法的迭代算法,通过联合优化感知时间和判决门限对构建的复杂非凸问题求解,显著提高了无人机次级认知网络的能量效率(EE)。分析了无人机飞行过程中能效的变化情况,仿真结果表明,存在最优感知时间使能效获得最大值,且判决门限的选择会影响该能效最优值;提出的高能效迭代算法具有较好收敛性,有效提高了认知无人机网络的能量利用率。 相似文献
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