透平叶片复合冷却结构的管网方法研究

包林焌; 邵文洋; 隋永枫; 薛彬彬; 初鹏; 刘钊

doi:10.19805/j.cnki.jcspe.2026.250745

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透平叶片复合冷却结构的管网方法研究

更新时间：2026-10-06

- 透平叶片复合冷却结构的管网方法研究
- Research on Flow Network Modeling Method for Turbine Blade Composite Cooling Structure
- 动力工程学报 2026年46卷第3期页码：177-189
- 作者机构：
  
  1. 杭州汽轮动力集团股份有限公司,浙江,杭州,310022
  2. 西安交通大学能源与动力工程学院,陕西,西安,710049
- 作者简介：
  
  包林焌(1999—),男,浙江杭州人,硕士研究生,主要从事燃气轮机透平叶片冷却设计
  隋永枫(通信作者),男,博士,正高级工程师,E-mail:suiyf@htc.cn
- 基金信息：
  
  浙江省尖兵研发攻关计划资助项目(2023C01137);大连理工大学高性能精密制造全国重点实验室研究基金资助项目(HPMKF202410)
- DOI：10.19805/j.cnki.jcspe.2026.250745
  中图分类号：
- 网络首发：2026-03-10，
  
  纸质出版：2026-03-10
- 稿件说明：
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包林焌,邵文洋,隋永枫,薛彬彬,初鹏,刘钊. 透平叶片复合冷却结构的管网方法研究动力工程学报, 2026, 46(3): 177-189 https://doi.

org/10.19805/j.cnki.jcspe.2026.250745
包林焌,邵文洋,隋永枫,薛彬彬,初鹏,刘钊. 透平叶片复合冷却结构的管网方法研究动力工程学报, 2026, 46(3): 177-189 https://doi. DOI： 10.19805/j.cnki.jcspe.2026.250745.

org/10.19805/j.cnki.jcspe.2026.250745 DOI：

摘要

为改进透平叶片复合冷却结构的设计方法

对用于冷却结构设计、分析、优化的管网方法进行了研究。在传统一维管网计算方法的基础上

综合考虑了叶片内外冷却耦合

搭建了管网耦合设计计算平台;以NASA GE-E

第一级动叶为基准

初步设计了冷却方案

并结合三维气热耦合计算对一维管网计算结果进行了验证与分析;基于初步设计结果

对叶片冷却结构进行了改型

并结合快速非支配遗传算法(NSGA-Ⅲ)优化算法进行了带肋通道管网优化。结果表明:一维管网计算结果与三维气热耦合计算结果的相对误差低于2%

验证了该管网方法的计算精度;管网优化计算时间约为25 h

且改型优化后的叶片温度明显降低。该方法计算精度较高

对透平叶片复合冷却结构的设计具有一定的指导作用。

Abstract

To improve the design methodology for composite cooling structures of turbine blades

this study investigates the flow network method applied to the design

analysis

and optimization of cooling configurations. Building upon traditional one-dimensional flow network calculation methods

a coupled design and computation platform was developed by integrating internal and external blade cooling considerations. Taking the NASA GE-E

first-stage rotor blade as a benchmark

a preliminary cooling scheme was designed and subsequently validated against three-dimensional conjugate heat transfer simulations. Based on the initial design

the blade cooling structure was redesigned

and the ribbed channel flow network was optimized using the NSGA-Ⅲ algorithm. Results show that the relative error between the one-dimensional flow network predictions and the three-dimensional conjugate heat transfer

results is below 2%

confirming the computational accuracy of the proposed method. The network optimization was completed in approximately 25 h

and the blade temperature after modification and optimization is obviously reduced. The proposed method demonstrates high computational fidelity and offers practical guidance for designing composite cooling structures in turbine blades.

关键词

Keywords

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