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An efficient method for numerical modeling of thin air layer drag reduction on flat plate and prediction of flow instabilities

机译：平板上薄空气层减小的数值建模的高效方法及流量稳定性预测

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Experimental researches on flat plates and ship models show that among many different methods of drag reduction, Air Layer Drag Reduction (ALDR) seems to be one of the most efficient methods. The physics behind different phenomena in this method is not completely clear and numerical modeling can help resolving this manner. There is a lack of exact numerical modeling of this flow because of its complexity and huge numerical cost due to the two-phase instabilities in case of DNS. Also common CFD simulations using URANS models involve significant errors. In this paper an efficient method for numerical modeling of ALDR is introduced which is a combination of linear stability and URANS modeling of the flowfield. The base flow is extracted from CFD which is used in linear stability analysis as the basis which results the frequency of the most unstable mode. The final CFD simulation is then carried out plus an additional perturbation term with that specific frequency. Results show that the implementation of this strategy significantly improves the results of the numerical modeling compared to the experimental results. The predicted flowfields also show some new aspects of physics of ALDR that had not been previously shown in experimental tests.
机译：平板和船舶模型的实验研究表明，在许多不同的阻力方法中，空气层减少（ALDR）似乎是最有效的方法之一。这种方法中不同现象背后的物理并不完全清晰，数值建模可以帮助解决这种方式。由于其在DNS的情况下，由于其复杂性和由于两相稳定性而导致的复杂性和数值成本缺乏确切的数值模型。使用urans模型的常见CFD模拟涉及重大错误。本文介绍了一种有效的ALDR数值建模方法，是线性稳定性和铀模型的组合。从CFD中提取基流，CFD用于线性稳定性分析，作为导致最不稳定模式的频率的基础。然后通过该特定频率进行最终CFD模拟加上额外的扰动术语。结果表明，与实验结果相比，该策略的实施显着提高了数值模型的结果。预测的流场还显示出在实验测试中未示出的ALDR的物理学的一些新方面。

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