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A novel laminar kinetic energy model for the prediction of pretransitional velocity fluctuations and boundary layer transition

机译:用于预测过渡前速度波动和边界层过渡的新型层流动能模型

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摘要

Boundary layer transition onset estimation and modelling are essential for the design of many engineering products across many industries. In this work, a novel model for predicting pretransitional boundary layer fluctuations is proposed. The laminar kinetic energy (LICE) concept is used to represent such fluctuations. The new LICE model is implemented in OpenFOAM within the Reynolds-Averaged Navier-Stokes (RANS) framework. Only two approaches for modelling the LICE can be found in the literature. Mayle and Schulz (1997) has the limitation of requiring an initial LICE profile. Walters and Cokljat's (2008) approach has been found to significantly overpredict the growth of the LICE. In addition, their model is tightly coupled with the specific dissipation rate and turbulent kinetic energy equations. The new model proposed here can act as a stand-alone equation for the LICE, making it portable and potentially facilitating the development of new transition models tailored to various industrial applications. Comparison with experiments shows that the new LICE model correctly predicts the growth of pretransitional velocity fluctuations and skin friction for a flat plate at zero-pressure gradient. To illustrate its practical application for transitional flows, the LICE model is coupled with an existing k - omega model using a new approach that requires minimal modifications. The resulting model (k - omega) LICE) demonstrates excellent predictive capabilities when applied to a number of validation test cases.
机译:边界层过渡开始估计和建模对于跨多个行业的许多工程产品的设计至关重要。在这项工作中,提出了一种用于预测过渡前边界层波动的新颖模型。层流动能(LICE)概念用于表示这种波动。新的LICE模型是在Reynolds平均Navier-Stokes(RANS)框架内的OpenFOAM中实现的。在文献中只能找到两种对LICE建模的方法。 Mayle and Schulz(1997)的局限性在于需要初始LICE配置文件。已经发现Walters和Cokljat(2008)的方法大大预测了LICE的增长。此外,他们的模型与特定的耗散率和湍动能方程紧密相关。此处提出的新模型可以作为LICE的独立等式,使其具有可移植性,并有可能促进针对各种工业应用量身定制的新过渡模型的开发。与实验的比较表明,新的LICE模型正确预测了零压力梯度下平板的过渡前速度波动和皮肤摩擦的增长。为了说明其在过渡流中的实际应用,LICE模型与现有的k-omega模型结合使用了需要最少修改的新方法。当应用于许多验证测试用例时,结果模型(k-omega)LICE表现出出色的预测能力。

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