Identification and Optimization Study of Cavitation in High Power Torque Converter

被引:1
|
作者
Wang, Kaifeng [1 ,2 ]
Xu, Xiangyang [1 ]
Zhao, Weiwei [2 ]
Wang, Zhongshan [2 ,3 ]
Lei, Yulong [3 ]
Ma, Wenxing [3 ]
机构
[1] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[2] Shaanxi FAST AUTO Drive Grp Co Ltd, Xian 710119, Peoples R China
[3] Jilin Univ, Coll Automot Engn, Changchun 130015, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 10期
关键词
torque converter; cavitation; stator; blade angle; CFD; CFD;
D O I
10.3390/app14104240
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Aiming at the phenomenon that a high-power torque converter is susceptible to cavitation, which leads to performance degradation, first, a transient flow field model of the torque converter is established, and CFD simulation and experimental research on the torque converter are carried out to find out the speed ratio region where cavitation occurs in the torque converter as well as the rule of occurrence of cavitation, and then the cavitation identification method based on the difference between the inlet and outlet flow of the torque converter is proposed. Then, the transient flow process inside the torque converter is analyzed, and it is pointed out that the angle between the inlet angle of the stator and the outlet angle of the turbine of the torque converter, i.e., the fluid inflow injection deviation angle is an important factor affecting the cavitation phenomenon. By adjusting the key parameters of the stator blade bone line, the fluid inflow deviation angle of the torque converter stator is optimized, so that the speed ratio range of cavitation under large load conditions is greatly reduced from the original 0-0.5 (50%) to 0-0.15 (15%). Meanwhile, in terms of test performance, the nominal torque of the torque converter is greatly improved under the premise of ensuring that the performance is basically unchanged, in which the nominal torque of the test zero speed is increased by 28.7%, and the cavitation of the torque converter has been greatly improved.
引用
收藏
页数:20
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