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Analysis of small-scale scalar mixing processes in highly under-expanded jets

机译:高度不足膨胀射流中的小规模标量混合过程分析

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In the present study, we numerically investigate turbulent scalar mixing taking place downstream of highly under-expanded jets. The focus is placed on two inter-related issues: (i) the closure of the mean scalar dissipation rate (SDR) and (ii) the turbulence-scalar interaction (TSI) term. It is indeed commonly admitted that the former, i.e., the SDR, which is defined as the product of the scalar diffusivity with the squared scalar gradient, provides a good measure of the mixing efficiency. In turbulent flows, the mean (turbulent) SDR requires a specific closure to be settled. It is generally obtained within the approximation of a linear relaxation of scalar fluctuations or linear relaxation model. We will first evaluate herein the performance of this widely used closure. The analysis is further developed by means of the consideration of the mean SDR transport equation which shows that, in gaseous conditions, the SDR is mainly driven by two terms: (i) a dissipation contribution and (ii) the third-order correlation between the velocity gradient tensor and small-scale scalar anisotropy tensor. The scalar mixing efficiency thus appears to be controlled by the latter quantity, which is often denoted as the TSI term. It can be shown that only the symmetric part (rate of strain) of the velocity gradient tensor contributes to this term; the anti-symmetric part modifies, indeed, the orientation of the scalar gradient but not its magnitude. The classical approach is to analyze this contribution in the eigenframe of the rate of strain tensor. Such analyses show that, in homogeneous isotropic turbulence, the scalar gradient tends to align with the most compressive direction, thus leading to SDR production. However, the present conditions, which are far from homogeneity and involve strong density variations, may modify this classical picture. The present study analyzes this possible influence.
机译:在本研究中,我们以数值方法研究了高度未充分膨胀的射流下游发生的湍流标量混合。重点放在两个相互关联的问题上:(i)平均标量耗散率(SDR)的终止和(ii)湍流-标量相互作用(TSI)项。实际上,通常公认的是,前者,即SDR,被定义为标量扩散率与平方标量梯度的乘积,可以很好地衡量混合效率。在湍流中,平均(湍流)SDR需要解决特定的封闭问题。它通常是在标量波动的线性松弛或线性松弛模型的近似范围内获得的。我们将首先在这里评估这种广泛使用的密封盖的性能。该分析是通过考虑平均SDR传输方程而进一步发展的,该方程表明,在气态条件下,SDR主要由两个项驱动:(i)耗散贡献和(ii)流体之间的三阶相关性速度梯度张量和小尺度标量各向异性张量。因此,标量混合效率似乎由后者的数量控制,后者通常被称为TSI术语。可以证明,只有速度梯度张量的对称部分(应变率)才有助于此项。实际上,反对称部分会更改标量梯度的方向,但不会更改其大小。经典方法是分析应变张量速率的本征框架中的这种贡献。这些分析表明,在均质各向同性湍流中,标量梯度趋于与最压缩的方向对齐,从而导致产生SDR。但是,当前条件远非同质性,并且涉及很大的密度变化,可能会修改此经典图像。本研究分析了这种可能的影响。

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