祝雪峰Zhu Xuefeng

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:大连理工大学
所在单位:力学与航空航天学院
电子邮箱:xuefeng@dlut.edu.cn

论文成果

Investigation on performance and implementation of Tesla turbine in engine waste heat recovery

发表时间:2019-03-13 点击次数:

论文名称:Investigation on performance and implementation of Tesla turbine in engine waste heat recovery
论文类型:期刊论文
发表刊物:ENERGY CONVERSION AND MANAGEMENT
收录刊物:SCIE、Scopus
卷号:179
页面范围:326-338
ISSN号:0196-8904
关键字:Waste heat recovery; Tesla turbine; Computational fluid dynamics simulation; Engine; Performance estimation; Working fluids
摘要:Waste heat recovery is significant to improve energy utilization. Expander is one of the most important components in waste heat recovery. Tesla turbine offers an attractive option for the expander if an efficient design can be well achieved. Faced the theoretical and computational challenges associated with the feasibility of Tesla turbine in a small-scale waste heat recovery system, this paper formulates a systematic design methodology to seek optimal parameters and geometric model of the Tesla turbine which is applied to a coolant waste heat recovery system of an automobile engine. To achieve this goal, a detailed investigation into the performance of Tesla turbine, which incorporates experimental and computational fluid dynamics analysis manifests that Tesla turbine achieves higher performance at lower rotation-speed. Performance analysis on the waste heat recovery system under various operating conditions is conducted based on a comprehensive thermodynamic model. Results show that the total power and overall thermal efficiency of the waste heat recovery system are clearly increased over a low rotation-speed range, furtherly, which can be improved by selecting appropriate viscosity of the working fluid and number of nozzles. It is desirable and significative to effectively improve power output and thermal efficiency for an automobile engine at a lower expense of volume and cost.
发表时间:2019-01-01