基于RANS、LES和HRL方法的YJ280液力变矩器的数值模拟

为了提高液力变矩器的CFD计算精度,采用不同湍流模型对液力变矩器的内流场进行了数值模拟,并从内流场流动细节的捕捉精度和外特性的预测精度两方面对液力变矩器的性能进行了对比分析.结果显示:在内流场流动结构捕捉精度方面, 5种湍流模型中的LES - KET模型捕捉涡结构的能力最强; 5种湍流模型均可实现对液力变矩器外特性的准确预测,其中RANS中的SST k - ω模型的预测精度最高.该研究结果可为正确选择湍流模型进行液力变矩器的外特性和内流场的高精度预测提供参考.

Numerical simulation of YJ280 hydrodynamic torque converter based on RANS,LES and HRL

In order to improve the CFD calculation accuracy of hydrodynamic torque converter, different turbulence models were used to simulate the internal flow field of the hydrodynamic torque converter. Then, the performance of the hydrodynamic torque converter was compared and analyzed from the capture accuracy of the flow details of the internal flow field and the prediction accuracy of the external characteristics. The results of comparative analysis showed that LES - KET had the strongest ability to capture vortex structure among the five turbulence models. The five turbulence models could accurately predict the external characteristics of hydrodynamic torque converter, especially the SST k -ω model in RANS. The results of this paper could provide a reference for the correct choice of turbulence model for the high - precision prediction of external characteristics and internal flow field of hydrodynamic torque converter.