综合冷却效率多参数影响分析  

Multi-Parameters Influence Analysis of Overall Cooling Effectiveness

作　　者：李明飞[1] 李雪英[1] 任静[1] 蒋洪德[1] 

机构地区：[1]清华大学热能工程系

出　　处：《工程热物理学报》2017年第12期2720-2724,共5页Journal of Engineering Thermophysics

基　　金：国家自然科学基金资助项目(51321002)

摘　　要：先进的透平冷却技术趋于复杂化、多样化,冷却系统的综合冷却效果是各冷却部件共同作用的结果。本文针对冷却传热构建基于冷气温升系数和内外换热比的一维耦合传热关联式,并借助绝热/耦合实验结果进行适用性验证,进而进行综合冷却效率的多参数影响定量分析和敏感性分析.研究表明,所构建的一维耦合传热模型能够分离各局部冷却参数的影响·,其在预测综合冷却效率上与实验测量结果吻合较好,其适用性得到验证·;各局部冷却参数中,气膜效率、内部换热系数、热障涂层毕渥数与综合冷却效率正相关,冷气温升系数,金属毕渥数与综合冷却效率负相关;热障涂层的存在会削弱内外冷却参数的敏感性;通过对综合冷却效率等值线图的分析,可以进一步得到各参数细节的定量及敏感性分析结论。Advanced turbine cooling technologies become more complex and diversified. The performance of cooling system is the result of various cooling components. The article built a one- dimensional conjugate heat transfer model which is based on coolant heat pick-up coefficient and heat transfer ratio. The model was verified by the experiment results. Multi-parameters influence mechanism was researched by the model. The results show that a good agreement can be found between the model prediction and experiment results. The reliability of the one-dimensional analysis method could be verified. Heat transfer ratio, fihn cooling effectiveness and Biot number of TBC have positive correlation to overall cooling effectiveness, while heat pick-up coefficient and Biot number of metal are parameters negative with overall effectiveness. TBC would reduce the sensitivity of internal cooling and film cooling both. Further quantified and sensitivity results can be concluded by the isograms analysis.

关 键 词：综合冷却效率 一维模型 敏感性分析 

分 类 号：TK474.7[动力工程及工程热物理—动力机械及工程]