Research on Flow Network Modeling Method for Turbine Blade Composite Cooling Structure

BAO Linjun; SHAO Wenyang; SUI Yongfeng; XUE Binbin; CHU Peng; LIU Zhao

doi:10.19805/j.cnki.jcspe.2026.250745

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Research on Flow Network Modeling Method for Turbine Blade Composite Cooling Structure

更新时间：2026-03-11

- Research on Flow Network Modeling Method for Turbine Blade Composite Cooling Structure
- Chinese Journal of Power Engineering Vol. 46, Issue 3, Pages: 177-189(2026)
- 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：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.250745
  CLC：
- Online First：10 March 2026，
  
  Published：10 March 2026
- 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.

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references

何磊, 陈大为, 张祎,等. 透平静叶表面多排孔气膜冷却特性试验研究[J]. 动力工程学报, 2021, 41(12): 1040-1044, 1068.HE Lei, CHEN Dawei, ZHANG Yi, et al. Experimental study on film cooling characteristics of multi-row holes on turbine blade surface[J]. Journal of Chinese Society of Power Engineering, 2021, 41(12): 1040-1044, 1068.

张玲, 史梦颖, 郭青, 等. 涡轮叶片尾缘气膜冷却耦合传热的数值模拟[J]. 动力工程学报, 2020, 40(1): 31-38, 50.ZHANG Ling, SHI Mengying, GUO Qing, et al. Conjugate heat transfer simulation of film cooling on trailing edge cutback of gas turbine blades[J]. Journal of Chinese Society of Power Engineering, 2020, 40(1): 31-38, 50.

KATHIRAVAN S, DE PROSPERIS R, CIANI A. Numerical investigation of flow and heat transfer in gas turbine serpentine passage cooling and comparison with experimental data[C] //ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. San Antonio, USA: ASME, 2013.

李立言, 李将, 张科, 等. 重燃透平叶片真实内部冷却通道的传热特性研究[J]. 风机技术, 2022, 64(6): 33-39.LI Liyan, LI Jiang, ZHANG Ke, et al.Heat transfer characteristics on realistic internal cooling passages of a heavy gas turbine blade[J]. Chinese Journal of Turbomachinery, 2022, 64(6): 33-39.

MAJUMDAR A, BAILEY J, HOLTK, et al. Mathematical modeling of free convective flows for evaluating propellant conditioning concepts[C] //32nd Joint Propulsion Conference and Exhibit. Lake Buena Vista, USA: AIAA, 1996.

RAMA KUMARB V N, PRASAD B V S S S. A combined CFD and network approach for a simulated turbine blade cooling system[J]. Indian Journal of Engineering and Materials Sciences, 2006, 13(3): 195-201.

迟重然, 温风波, 王松涛, 等. 涡轮动叶冷却结构设计方法II: 管网计算[J]. 工程热物理学报, 2011, 32(6): 933-936.CHI Zhongran, WEN Fengbo, WANG Songtao, et al. Cooling structure design for turbine blades II: pipe-net calculation[J]. Journal of Engineering Thermophysics, 2011, 32(6): 933-936.

罗磊, 陈朔, 刘维, 等. 燃气透平带气膜动叶设计流程及分析[J]. 中国电机工程学报, 2015,35(16): 4112-4121. LUO Lei, CHEN Shuo, LIU Wei, et al. Process and analysis of cooling structure design for gas turbine rotor blades with film cooling[J]. Proceedings of the CSEE, 2015, 35(16): 4112-4121.

李守祚, 罗磊, 王松涛. 涡轮导叶冷却结构设计及性能分析[J]. 热能动力工程, 2021, 36(10): 18-26.LI Shouzuo, LUO Lei, WANG Songtao. Cooling structure design and performance analysis for turbine guide vanes[J]. Journal of Engineering for Thermal Energy and Power, 2021, 36(10): 18-26.

包航凯, 汪日丰, 贺缨, 等. 内部通道肋片结构对MarkⅡ叶片冷却性能影响的降维模型研究[J]. 热科学与技术, 2020, 19(3): 233-239.BAO Hangkai, WANG Rifeng, HE Ying, et al.Study on influence of ribbed structure in internal channel on cooling performance of MarkⅡ blade using dimensionality reduction model[J]. Journal of Thermal Science and Technology, 2020, 19(3): 233-239.

史亮, 颜培刚, 韩万金, 等. 管网耦合计算在涡轮气冷叶片优化中的应用[J]. 机械工程学报, 2016, 52(18): 140-152.SHI Liang, YAN Peigang, HAN Wanjin, et al. Applications of network coupling computing in gas-cooled turbine blades optimization[J]. Journal of Mechanical Engineering, 2016, 52(18): 140-152.

史亮, 孙彦博, 韩万金, 等. 管网方法在双层壁冷却结构设计中的应用[J]. 哈尔滨工业大学学报, 2017, 49(7): 78-85.SHI Liang, SUN Yanbo, HAN Wanjin, et al. Applica-tion of network method in the design of double wall cooling structure[J]. Journal of Harbin Institute of Technology, 2017, 49(7): 78-85.

章锁诚, 夏硕成, 迟重然, 等. 双层壁叶片的模型化方法与冷却设计流程研究[J]. 热能动力工程, 2021, 36(10): 11-17, 38.ZHANG Suocheng, XIA Shuocheng, CHI Zhongran, et al. Study on the modeling method and cooling design procedure of double-wall turbine blades[J]. Journal of Engineering for Thermal Energy and Power, 2021, 36(10): 11-17, 38.

孙彦博, 颜培刚, 何建元, 等. 某燃气轮机涡轮叶片复合冷却结构优化设计[J]. 热能动力工程, 2023, 38(12): 131-138.SUN Yanbo, YAN Peigang, HE Jianyuan, et al. Optimization design of composite cooling structure for turbine blade of a gas turbine[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38(12): 131-138.

张思远, 李雪英, 任静. 透平叶片内外冷却耦合的流体网络分析方法[J]. 工程热物理学报, 2024, 45(4): 978-987.ZHANG Siyuan, LI Xueying, REN Jing. Fluid-network analysis method for conjugating internal and external cooling of turbines[J]. Journal of Engineering Thermophysics, 2024, 45(4): 978-987.

包林焌, 刘钊, 张韦馨, 等. 气膜抽吸作用下透平叶片冲击冷却的一维管网计算方法研究[J]. 西安交通大学学报, 2024, 58(11): 65-77.BAO Linjun, LIU Zhao, ZHANG Weixin, et al. Research on one-dimensional flow network calculation method for impingement cooling of turbine blades under suction effect of air film[J]. Journal of Xi'an Jiaotong University, 2024, 58(11): 65-77.

包林焌, 刘钊, 张韦馨, 等. 燃气透平叶片前缘冲击/气膜复合冷却的管网耦合方法研究[J]. 西安交通大学学报, 2024, 58(6): 114-127.BAO Linjun, LIU Zhao, ZHANG Weixin, et al. Study on flow network coupling method for compound impingement and film cooling in gas turbine blade leading edge[J]. Journal of Xi'an Jiaotong University, 2024, 58(6): 114-127.

包林焌, 许瑶, 刘钊, 等. 涡轮导叶双层壁冷却结构设计的管网耦合计算方法研究[J]. 推进技术, 2025, 46(4): 203-217.BAO Linjun, XU Yao, LIU Zhao, et al. Flow network coupling method for double wall cooling design of turbine vane[J]. Journal of Propulsion Technology, 2025, 46(4): 203-217.

陈卓如. 工程流体力学[M]. 2版. 北京: 高等教育出版社, 2004: 263-267.

陶文铨. 传热学[M]. 5版. 北京: 高等教育出版社, 2019: 232-236.

HAN J C, DUTTA S, EKKAD S. Gas turbine heat transfer and cooling technology[M]. London, UK: Taylor Frallcis, 2000.

CHUPP R E, HELMS H E, MCFADDEN P W, et al. Evaluation of internal heat-transfer coefficients for impingement-cooled turbine airfoils[J]. Journal of Aircraft, 1969, 6(3): 203-208.

刘明林. 采用管道网络法的燃气涡轮冷却结构气热耦合数值研究[D]. 哈尔滨: 哈尔滨工业大学, 2012.

TIMKO L P. Energy efficient engine high pressure turbine component test performance report:NASA-CR-168289[R]. Cincinnati,USA:NASA, 1984.

王辉辉, 牛夕莹, 邓清华, 等. 具有新型双层壁结构的透平叶片流热耦合研究[J]. 热能动力工程, 2023, 38(12): 139-148.WANG Huihui, NIU Xiying, DENG Qinghua, et al. Research on conjugate heat transfer of turbine blades with a novel double-wall structure[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38(12): 139-148.

DEB K, JAIN H. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints[J]. IEEE Transactions on Evolutionary Computation, 2014, 18(4): 577-601.

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