本文讨论雷诺数、佛洛德数、牛顿数在拖网模型试验中的意义。
In this paper the importance of Froude, Reynolds and Newton Numbers in trawl model testing was discussed.
模型试验结果经雷诺数修正，并换算到实物网，与海上实测结果符合良好。
The model testing results converted to their full scale values with Reynolds number correction agree well with the full scale testing results.
并采用软球解析模型研究了雷诺数、初始位置等几个重要参数对球形粒子沉降的影响。
Effect of some parameters like Reynolds number, initial positions are studied using soft-sphere model under different conditions.
得到了再入飞行器和模型的转捩雷诺数。
Transition Reynolds Numbers for both the reentry vehicles and the test models are obtained.
通过改进湍流模型和壁面边界，即用低雷诺数湍流模型结合混合壁面边界的处理方法解决了以上问题。
To solve the above problem, a low-Reynolds number turbulence model with a hybrid wall boundary treatment was adopted.
该模型具有简便、快捷以及能够对亚临界雷诺数下的流体诱导振动问题进行计算等优点，为多圆柱流体诱导振动问题提供了一种新的计算模型。
The proposed model is expected to provide a new method to evaluate the flow induced vibration of a large number of flexible tube bundles with a relatively simple computing task.
对实验结果进行回归得到了阻力系数与气相雷诺数的关系，并提出了新的气相压降计算模型。
Based on the relationship between the resistance coefficient and gas Reynolds number, a new equation used for the calculation of the pressure drop was derived.
在集中介绍离散涡方法的概念后，提出在高雷诺数流动情况下的一种简化流动模型—基于奇点法的离散涡模型。
After concentrated introduction of the conception of DVM, a simplified numerical model is proposed under high Renold number which is a DVM model combined singularity method.
建立了流动模型，提出了以无量纲准则数雷诺数为设计纤维液膜萃取分离器的准则。
A flow model was built. Moreover, based on the theoretical analysis, Renault number was proposed as the design principle dimensionless number for fiber film extractor design purpose.
结果表明，采用这种雷诺数修正模型可以用于定量评估雷诺数对发动机稳定性的影响。
This correction model was proved to be valuable to evaluate the effects of Reynolds number quantificationally when assessing the engine stability.
实物网处于雷诺数的自动模型区域内，但其模型位于小雷诺数范围。
The full scale gear is in the self-modelling region of Reynolds number, but the model is situated in the low Reynolds number region.
实物网处于雷诺数的自动模型区域内，但其模型位于小雷诺数范围。
The full scale gear is in the self-modelling region of Reynolds number, but the model is situated in the low Reynolds number region.
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