轴流涡轮长叶片级变工况特性研究综述
Review on the Axial Turbine Long-blade Stage Characteristics under Off-design Conditions
黄功瑞 1朱阳历 1熊军 2王星 1李文 1陈海生3
作者信息
- 1. 中国科学院工程热物理研究所 北京 100190;中国科学院大学工程科学学院 北京 100049
- 2. 中国科学院工程热物理研究所 北京 100190;江苏大学能源与动力工程学院 镇江 212013
- 3. 中国科学院工程热物理研究所 北京 100190;中国科学院大学工程科学学院 北京 100049;国家能源大规模物理储能技术(毕节)研发中心 毕节 551712;中国科学院南京未来能源系统研究院 南京 211135
- 折叠
摘要
为满足高效、高负荷、高可靠性大流量轴流涡轮的应用需求,涡轮叶片的长度和展弦比设计日益增大.相较于较短的叶片,长叶片沿径向的叶型以及气流参数分布的变化幅度更大,因此其设计要求更高.受涡轮负荷需求、环境条件等因素变化的影响,长叶片往往变工况运行,其级内三维流场结构复杂,各项性能恶化,容易导致叶片的安全性及使用寿命下降.为方便学者后续进一步研究长叶片级在变工况运行时的气动、传热与结构强度特点,探索拓宽长叶片级高效、稳定运行范围的方法,梳理了该领域近年来的研究成果.首先介绍长叶片的气动与结构设计特点,再分析与总结变工况时长叶片级的气动特性、传热与强度特性,并简述排气装置对末级长叶片内部流场的影响,最后分析目前仍存在的不足,展望轴流涡轮长叶片级在控制变工况不利影响方面与优化设计方面的未来发展趋势.
Abstract
To meet the needs of higher load,efficiency and reliability axial turbine,the blades are designed longer.Compared with shorter blades,the profiles of long blades are torsional and flow parameters are different along the blade height,and its design is more difficult relatively.The long blade stage always operates under off-design conditions,so the stage has complex flow structure and its performance deteriorates,which easily leads to the decline of blade safety and service life.In order to facilitate scholars to further study the characteristics of long blade stage under off-design conditions,and further explore the methods of broadening the operational condition range of long blade stage,a series of relevant literatures are surveyed.Firstly,the aerodynamic and structure design characteristic of long blade are introduced.Secondly,the aerodynamics characteristic,heat transfer as well as strain characteristics of long-blade stage under off-design conditions are analyzed and summarized,besides the influence of exhaust hood on last long blade stage under variable conditions is introduced.Finally,the existing deficiencies are introduced based on the latest research progress,and the future research focus and development trend of axial turbine long-blade are discussed.
关键词
轴流涡轮/长叶片级/变工况Key words
axial turbine/long-blade stage/off-design引用本文复制引用
基金项目
国家自然科学基金(52176211)
腾讯科学探索奖资助项目()
出版年
2024
NETL
NSTL
万方数据