雷诺数
湍流
统计物理学
机械
熵(时间箭头)
物理
热力学
作者
Edmond J. Walsh,Donald M. McEligot
标识
DOI:10.1615/interjfluidmechres.v36.i6.70
摘要
The need to quantify entropy generation rates is critical to optimizing the performance of many engineered systems. However, accurate predictions and measurement of this quantity are difficult. Recent direct numerical simulations (DNS) are employed to develop a new correlation for the entropy generation at low and moderate Reynolds numbers typical of those found on turbomachinery surfaces for example. Such a correlation is only possible due to advances in computing, that have allowed moderate Reynolds numbers to be simulated. The result illustrates the discrepancies of existing correlations used throughout the literature for predicting entropy generation rates in low Reynolds number turbulent flows.
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