特斯拉涡轮技术研究进展综述  

Review of Tesla Turbine Technology Research Progress

作　　者：吴嘉诚 王星[2] 李文[2] 陈海生[2] WU Jiacheng;WANG Xing;LI Wen;CHEN Haisheng(School of Engineering Science,University of Science and Technology of China,Hefei,China,230027;Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing,China,100191)

机构地区：[1]中国科学技术大学工程科学学院,安徽合肥230027 [2]中国科学院工程热物理研究所,北京100191

出　　处：《热能动力工程》2024年第5期1-14,共14页Journal of Engineering for Thermal Energy and Power

基　　金：国家科技重大专项(2019-Ⅱ-0008-0028);国家自然科学基金(51976218)。

摘　　要：为进一步探索特斯拉涡轮的应用潜力,分别从机理研究、优化设计、应用研究和性能研究4个方面对特斯拉涡轮相关研究进行全面阐述。首先,整理了特斯拉涡轮的流动机理和流场分布及效率预测的主要数学模型。然后,回顾了研究者开展的优化设计研究,指出未来研究需重点关注喷嘴数量、转子表面粗糙度及喷嘴与转子的耦合优化。最后,归纳了特斯拉涡轮的主要应用领域,包括废热回收、能量收集和有机朗肯循环等。性能研究表明,特斯拉涡轮的最高实验效率介于20%~30%,而模拟效率在50%~70%之间,并且输出功率主要集中在低功率范围。To further explore the application potential of Tesla turbine,this paper presented a compre-hensive review of Tesla turbine related research in four aspects:mechanism research,optimization de-sign,application research and performance research.Firstly,the flow mechanism of Tesla turbine and the main mathematical models for flow field distribution and efficiency prediction were summarized.Then,the optimization design research carried out by the researchers was reviewed,and it was pointed out that future research should focus on the number of nozzles,the surface roughness of the rotor,and the coupling optimization of the nozzle and rotor.Finally,the main application areas of Tesla turbines were summarized,including waste heat recovery,energy harvesting,and organic Rankine cycle.Performance studies have shown that the maximum experimental efficiency of Tesla turbine is between 20%and 30%,while the simulation efficiency is between 50%and 70%,and the output power is mainly concentrated in the low power range.

关 键 词：特斯拉涡轮 小尺寸涡轮 流动机理 数学模型 优化设计 应用研究 

分 类 号：TK05[动力工程及工程热物理]