透平叶片内外冷却耦合的流体网络分析方法  

Fluid-network Analysis Method for Conjugating Internal and External Cooling of Turbines

作　　者：张思远 李雪英[1] 任静[1] ZHANG Siyuan;LI Xueying;REN Jing(Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学能源与动力工程系,北京100084

出　　处：《工程热物理学报》2024年第4期978-987,共10页Journal of Engineering Thermophysics

基　　金：国家科技重大专项(No.J2019-III-0007-0050)。

摘　　要：流体网络分析方法在燃机透平叶片冷却方案设计中具有重要意义,透平入口温度的不断提高对流体网络方法的计算速度和精度提出了挑战。本文在传统流体网络方法的基础上考虑叶片内外冷却的耦合作用,发展了内外冷却耦合的流体网络分析方法,并搭建了预测平台。本文选用典型航空高温涡轮叶片进行精度验证,结果表明,相比于传统流体网络方法,本方法的预测误差由6.54%降低到4.91%。本方法有助于提高设计精度,为下一代高性能燃机设计提供支撑。The fluid-network analysis method is of great significance in the design of cooling schemes for gas turbine blades.The continuous improvement of turbine inlet temperature poses challenges to the calculation speed and accuracy of the fluid-network method.On the basis of traditional fluid-network methods,this research considers the conjugate effect of internal and external cooling of blades,develops a fluid-network analysis method of internal and external cooling conjugating,and builds a prediction platform.This research selects a typical aviation high-temperature turbine blades for accuracy verification,and the results show that compared to traditional method,the prediction error of this method is reduced from 6.54%to 4.91%.This method helps to improve the design accuracy and provides support for the next generation of high-performance gas turbine design.

关 键 词：燃机透平叶片 流体网络 耦合 

分 类 号：TK474.7[动力工程及工程热物理—动力机械及工程]