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首页> 外文期刊>International Journal of Heat and Mass Transfer >Prediction of natural convection heat transfer in gas turbines
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Prediction of natural convection heat transfer in gas turbines

机译：燃气轮机中自然对流热传递预测

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The aim of this work is to improve numerical predictions of natural convection heat transfer inside of gas turbines. It is desirable for engineers to use numerical simulations be able to accurately predict the heat transfer inside of a gas turbine casing during engine shutdown. This will help them to understand and alleviate problems such as engine casing distortion.A natural convection test rig was constructed to provide simulation validation data. The rig represented a section of a large gas turbine casing and operated at the same Rayleigh number as a real engine. The casing rig was able to provide a unique dataset that could not be obtained through real engine measurements.Analysis of the casing rig was performed using a large eddy simulation and RANS simulations. It was found that the baseline RANS simulation did not predict the heat transfer accurately enough for engineering use. The simple gradient diffusion hypothesis (SGDH) turbulent heat flux model used in the baseline simulations was replaced by more advanced generalised gradient diffusion hypothesis (GGDH). A modification to the GGDH model, called GGDH+, was developed to account for buoyancy effects on the turbulent heat flux. The GGDH+ model was then able to give heat transfer predictions comparable to the LES results. (C) 2019 Published by Elsevier Ltd.
机译：这项工作的目的是提高燃气轮机内部的自然对流热传递的数值预测。期望工程师使用数值模拟能够精确地预测发动机关闭期间燃气涡轮机壳体内部的热传递。这将有助于他们了解和减轻发动机套管失真等问题。构建自然对流测试钻机以提供模拟验证数据。钻机代表了大型燃气涡轮机壳体的一部分，并以与真正发动机在相同的瑞利号码中操作。套管钻机能够提供通过真实发动机测量无法获得的独特数据集。使用大涡模拟和RAN模拟进行套管钻机的分析。发现基线RANS模拟没有准确地预测热传递，足以用于工程使用。基线模拟中使用的简单梯度扩散假设（SGDH）湍流热通量模型被更先进的广义梯度扩散假说（GGDH）所取代。开发了对GGDH +的GGDH模型的修改，以考虑对湍流热通量的浮力影响。然后，GGDH +模型能够提供与LES结果相当的传热预测。 （c）2019年由elestvier有限公司发布

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