吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (03): 613-618.doi: 10.7964/jdxbgxb201303010

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Complexity-based robustness analysis of turbulence model in torque converter flow field simulation

LIU Shu-cheng1, PAN Xin2, WEI Wei1, YAN Qing-dong1, LAI Yu-yang3   

  1. 1. School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China;
    2. China Machinery Industry Federation, Beijing 100823, China;
    3. Soyotec Technologies Co., Ltd.,Beijing 100081, China
  • Received:2012-04-24 Online:2013-05-01 Published:2013-05-01

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Abstract: To study the robustness of commonly used turbulence models in flow field simulation of hydrodynamic torque converter, fifteen turbulence models were taken to conduct sampling and calculation in a torque converter flow field simulation system of based on ANSYS/CFX. Using Monte Carlo method, the input variables were slightly disturbed using a normal distribution function. Each turbulence model was sampled 200 times, respectively in low and high calculation speed conditions. According to the complexity measurement theory, the complexity of the acquired input and output variables was analyzed. The robustness of the simulation system and its output variables were calculated, by which the quantitative indicators of robustness for each turbulence model were given. Analysis results show that the shear stress model has the best overall robustness in torque convert flow field simulation.

Key words: fluid mechanics, complexity measurement, robustness, turbulence model

CLC Number: 

  • TH137
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