面向气热耦合的涡轮叶片计算域模型建模方法
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摘要
针对冷却结构复杂的涡轮叶片在气热耦合数值模拟中计算域模型建模效率低、模型质量不稳定以及对数值模拟适应性差等问题,分析面向制造的涡轮叶片模型及建模方法,结合气热耦合数值模拟对涡轮叶片数值模拟的实际需求,提出一种面向气热耦合的涡轮叶片计算域建模方法。通过外型冷却特征自动定位生成算法,创建涡轮叶片冷气域部分;通过自适应管道求交算法、边界自动匹配算法,创建能够适应不同叶型的涡轮叶片燃气域部分;此外,在创建流体域的过程中提取气热耦合数值模拟所需的关键几何特征及非几何信息,并与冷气域、燃气域、叶片实体集成,完成气热耦合计算域模型的生成。基于以上研究开发涡轮叶片气热耦合计算域模型快速建模系统,验证所提方法的有效性。
To solve the problems of low modeling efficiency,unstable model quality and poor adaptability to numerical simulation in conjugated heat transfer numerical simulation of turbine blades with complex cooling structure,the turbine blade model for manufacturing and its modeling method were analyzed. Combined with demands for numerical simulation,a conjugated heat transfer modeling method for the turbine blades' computational domain was proposed. Firstly,an automatic positioning algorithm based on the external cooling feature was used to create the turbine blade's cooling air fluid domain. Through the adaptive pipeline intersection algorithm and the boundary automatic matching algorithm,the gas fluid domain that can adapt to different blade section line types was generated. During the modeling process,the key geometric features and non-geometric information required for the numerical simulation were extracted,and then were integrated with the cooling air fluid domain,the gas fluid domain and blade entity. The conjugated heat transfer computational domain model was completed. Based on the above research,a rapid modeling system was developed for modeling conjugated heat transfer computational domain model,which verified the effectiveness of the proposed method.
To solve the problems of low modeling efficiency,unstable model quality and poor adaptability to numerical simulation in conjugated heat transfer numerical simulation of turbine blades with complex cooling structure,the turbine blade model for manufacturing and its modeling method were analyzed. Combined with demands for numerical simulation,a conjugated heat transfer modeling method for the turbine blades' computational domain was proposed. Firstly,an automatic positioning algorithm based on the external cooling feature was used to create the turbine blade's cooling air fluid domain. Through the adaptive pipeline intersection algorithm and the boundary automatic matching algorithm,the gas fluid domain that can adapt to different blade section line types was generated. During the modeling process,the key geometric features and non-geometric information required for the numerical simulation were extracted,and then were integrated with the cooling air fluid domain,the gas fluid domain and blade entity. The conjugated heat transfer computational domain model was completed. Based on the above research,a rapid modeling system was developed for modeling conjugated heat transfer computational domain model,which verified the effectiveness of the proposed method.
引文
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[9]KUSTERER K,HAGEDORN T,BOHN D,et al.Improvement of a film-cooled blade by application of the conjugate calculation technique[J].Journal of Turbomachinery,2006,128(3):572-578.
[10]叶莹.气冷涡轮流热耦合模拟及冷却结构优化设计[D].北京:中国科学院大学,2017.YE Y.Conjugated heat transfer numerical simulation of aircooled turbine flow and optimal design of cooling structure[D].Beijing:University of Chinese Academy of Sciences,2017(in Chinese).
[11]王松涛,迟重然,温风波,等.涡轮动叶冷却结构设计方法Ⅰ:参数化设计[J].工程热物理学报,2011,32(4):581-584.WANG S T,CHI Z R,WEN F B,et al.Turbine blade cooling structure design method I:Parametric design[J].Journal of Engineering Thermophysics,2011,32(4):581-584(in Chinese).
[12]虞跨海,李立州,岳珠峰.基于解析及特征造型的涡轮冷却叶片参数化设计[J].推进技术,2007,28(6):637-640.YU K H,LI L Z,YUE Z F.Parametric design of turbine cooling blades based on analytic and characteristic modeling[J].Propulsion Technology,2007,28(6):637-640(in Chinese).
[13]宋玉旺,席平.基于特征造型技术的涡轮叶片参数化设计[J].北京航空航天大学学报,2004,30(4):321-324.SONG Y W,XI P.Parametric design of turbine blade based on feature modeling[J].Journal of Beijing University of Aeronautics and Astronautics,2004,30(4):321-324(in Chinese).
[14]李吉星,席平.涡轮叶片导管快速建模[J].北京航空航天大学学报,2016,42(6):1149-1155.LI J X,XI P.Rapid modeling of impingement pipe in turbine blade[J].Journal of Beijing University of Aeronautics and Astronautics,2016,42(6):1149-1155(in Chinese).
[15]NOWAK G,WRBLEWSKI W.Optimization of blade cooling system with use of conjugate heat transfer approach[J].International Journal of Thermal Sciences,2011,50(9):1770-1781.
[16]罗磊,卢少鹏,迟重然,等.气热耦合条件下涡轮动叶叶型与冷却结构优化[J].推进技术,2014,35(5):603-609.LUO L,LU S P,CHI Z R,et al.Conjugate heat transfer optimization for blade profiles and cooling structure in turbine rotor[J].Advance Technology,2014,35(5):603-609(in Chinese).
[17]付光辉,席平,张宝源,等.涡轮气冷叶片传热分析数据提取技术研究[J].图学学报,2015,36(3):384-391.FU G H,XI P,ZHANG B Y,et al.Data extraction technology for heat transfer analysis of air-cooled turbine blades[J].Journal of Graphics,2015,36(3):384-391(in Chinese).
[18]席平,王添.面向分析的产品建模技术概述[J].航空制造技术,2017,540(21):16-20.XI P,WANG T.An analysis-oriented product modeling technology[J].Aeronautical Manufacturing Technology,2017,540(21):16-20(in Chinese).
[19]龚勋.涡轮冷却叶片结构网格参数化方法研究[D].南京:南京航空航天大学,2016.GONG X.Research on parameterization method of turbine cooling blade structure grid[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2016(in Chinese).
[20]CHI Z R,LIU H Q,ZANG S S.Geometrical optimization of nonuniform impingement cooling structure with variable-diameter jet holes[J].International Journal of Heat&Mass Transfer,2017,108:549-560.
[2]DOWNS J P,LANDIS K K.Turbine cooling systems design:Past,present and future[C]∥ASME Turbo Expo 2009:Power for Land,Sea,and Air.New York:ASME,2009:819-828.
[3]朱莉娅,徐国强.涡轮冷却技术对航空发动机性能的影响[J].推进技术,2014,35(6):793-798.ZHU L Y,XU G Q.Effect of turbine cooling technology on aeroengine performance[J].Propulsion Technology,2014,35(6):793-798(in Chinese).
[4]曹玉璋.航空发动机传热学[M].北京:北京航空航天大学出版社,2005:57.CAO Y Z.Aeroengine heat transfer[M].Beijng:Beihang University Press,2005:57(in Chinese).
[5]吴大观.航空发动机研制工作论文集[M].北京:航空工业出版社,2009:69.WU D G.Aerospace development work paper collection[M].Beijing:Aviation Industry Press,2009:69(in Chinese).
[6]王潘,隋岩峰,程农.涡扇发动机整机仿真平台设计及实现方法[J].系统仿真学报,2014,26(5):986-990.WANG P,SUI Y F,CHENG N.Design and implementation of turbofan engine simulation patform[J].Journal of System Simulation,2014,26(5):986-990(in Chinese).
[7]DEES J E,BOGARD D G,LEDEZMA G A,et al.Overall and adiabatic effectiveness values on a scaled up,simulated gas turbine vane[J].Journal of Turbomachinery-Transactions of the ASME,2013,135(5):595-605.
[8]迟重然,温风波,王松涛,等.涡轮动叶冷却结构设计方法Ⅲ:气热耦合计算[J].工程热物理学报,2011,32(9):1485-1488.CHI Z R,WEN F B,WANG S T,et al.Turbine blade cooling structure design methodⅢ:Conjugated heat transfer numerical simulation[J].Journal of Engineering Thermophysics,2011,32(9):1485-1488(in Chinese).
[9]KUSTERER K,HAGEDORN T,BOHN D,et al.Improvement of a film-cooled blade by application of the conjugate calculation technique[J].Journal of Turbomachinery,2006,128(3):572-578.
[10]叶莹.气冷涡轮流热耦合模拟及冷却结构优化设计[D].北京:中国科学院大学,2017.YE Y.Conjugated heat transfer numerical simulation of aircooled turbine flow and optimal design of cooling structure[D].Beijing:University of Chinese Academy of Sciences,2017(in Chinese).
[11]王松涛,迟重然,温风波,等.涡轮动叶冷却结构设计方法Ⅰ:参数化设计[J].工程热物理学报,2011,32(4):581-584.WANG S T,CHI Z R,WEN F B,et al.Turbine blade cooling structure design method I:Parametric design[J].Journal of Engineering Thermophysics,2011,32(4):581-584(in Chinese).
[12]虞跨海,李立州,岳珠峰.基于解析及特征造型的涡轮冷却叶片参数化设计[J].推进技术,2007,28(6):637-640.YU K H,LI L Z,YUE Z F.Parametric design of turbine cooling blades based on analytic and characteristic modeling[J].Propulsion Technology,2007,28(6):637-640(in Chinese).
[13]宋玉旺,席平.基于特征造型技术的涡轮叶片参数化设计[J].北京航空航天大学学报,2004,30(4):321-324.SONG Y W,XI P.Parametric design of turbine blade based on feature modeling[J].Journal of Beijing University of Aeronautics and Astronautics,2004,30(4):321-324(in Chinese).
[14]李吉星,席平.涡轮叶片导管快速建模[J].北京航空航天大学学报,2016,42(6):1149-1155.LI J X,XI P.Rapid modeling of impingement pipe in turbine blade[J].Journal of Beijing University of Aeronautics and Astronautics,2016,42(6):1149-1155(in Chinese).
[15]NOWAK G,WRBLEWSKI W.Optimization of blade cooling system with use of conjugate heat transfer approach[J].International Journal of Thermal Sciences,2011,50(9):1770-1781.
[16]罗磊,卢少鹏,迟重然,等.气热耦合条件下涡轮动叶叶型与冷却结构优化[J].推进技术,2014,35(5):603-609.LUO L,LU S P,CHI Z R,et al.Conjugate heat transfer optimization for blade profiles and cooling structure in turbine rotor[J].Advance Technology,2014,35(5):603-609(in Chinese).
[17]付光辉,席平,张宝源,等.涡轮气冷叶片传热分析数据提取技术研究[J].图学学报,2015,36(3):384-391.FU G H,XI P,ZHANG B Y,et al.Data extraction technology for heat transfer analysis of air-cooled turbine blades[J].Journal of Graphics,2015,36(3):384-391(in Chinese).
[18]席平,王添.面向分析的产品建模技术概述[J].航空制造技术,2017,540(21):16-20.XI P,WANG T.An analysis-oriented product modeling technology[J].Aeronautical Manufacturing Technology,2017,540(21):16-20(in Chinese).
[19]龚勋.涡轮冷却叶片结构网格参数化方法研究[D].南京:南京航空航天大学,2016.GONG X.Research on parameterization method of turbine cooling blade structure grid[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2016(in Chinese).
[20]CHI Z R,LIU H Q,ZANG S S.Geometrical optimization of nonuniform impingement cooling structure with variable-diameter jet holes[J].International Journal of Heat&Mass Transfer,2017,108:549-560.