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Abstract: cavitation has a significant influence on the accurate control of the liquid filling rate and braking performance of a hydraulic retarder; however, previous studies of the flow field in hydraulic retarders have provided insufficient information in terms of considering cavitation. Here, the volume of fluid (VOF) method and a scale-resolving simulation (SRS) were employed to numerically and more comprehensively calculate and analyze the flow field in a retarder considering the cavitation phenomenon. The numerical models included the improved delayed detached eddy simulation (IDDES) model, stress-blended eddy simulation (SBES) model, dynamic large eddy simulation (DLES) model, and shear stress transport (SST) model in the Reynolds-averaged Navier-Stokes (RANS) model. All the calculations were typically validated by the brake torque in the impeller rather than the internal flow. The unsteady flow field indicated that the SBES and DLES models could better capture unsteady flow phenomena, such as the chord vortex. The SBES and DLES models could also better capture bubbles than the SST and IDDES models. Since the braking torque error of the SBES model was the smallest, the transient variation of the bubble volume fraction over time on a typical flow surface was analyzed in detail with the SBES model. It was found that bubbles mainly appeared in the center area of the blade suction surface, which coincided with the experiments. The accumulation of bubbles resulted in a larger bubble volume fraction in the center of the blade over time. In addition, the temperature variations of the pressure blade caused by heat transfer were further analyzed. More bubbles precipitated in the center of the blade, leading to a lower temperature in this area.

考虑气蚀的液力缓速器湍流流动尺度解析模拟

[1]Brennen CE, 1995. Cavitation and Bubble Dynamics. Oxford University Press, Oxford, UK, p.47-53.

[2]Dong Y, Korivi V, Attibele P, et al., 2002a. Torque Converter CFD Engineering Part I: Torque Ratio and K Factor Improvement through Stator Modifications. SAE Technical Paper, No. 2002-01-0883, SAE, Detroit, USA.

[3]Dong Y, Korivi V, Attibele P, et al., 2002b. Torque Converter CFD Engineering Part II: Performance Improvement through Core Leakage Flow and Cavitation Control. SAE Technical Paper, No. 2002-01-0884, SAE, Detroit, USA.

[4]Huang B, Wang GY, 2011. A modified density based cavitation model for time dependent turbulent cavitating flow computations. Chinese Science Bulletin, 56(19):1985-1992.

[5]Hur N, Moshfeghi M, Lee W, 2018. Flow and performance analyses of a partially-charged water retarder. Computers & Fluids, 164:18-26.

[6]Liu CB, Bu WY, Xu D, et al., 2017a. Application of hybrid RANS/LES turbulence models in rotor-stator fluid machinery: a comparative study. International Journal of Numerical Methods for Heat & Fluid Flow, 27(12):2717-2743.

[7]Liu CB, Bu WY, Wang TJ, 2017b. Numerical investigation on effects of thermophysical properties on fluid flow in hydraulic retarder. International Journal of Heat and Mass Transfer, 114:1146-1158.

[8]Long XP, Liu Q, Ji B, et al., 2017. Numerical investigation of two typical cavitation shedding dynamics flow in liquid hydrogen with thermodynamic effects. International Journal of Heat and Mass Transfer, 109:879-893.

[9]Luo XW, Ji B, Tsujimoto Y, 2016. A review of cavitation in hydraulic machinery. Journal of Hydrodynamics, 28(3):335-358.

[10]Mejri I, Bakir F, Rey R, et al., 2006. Comparison of computational results obtained from a homogeneous cavitation model with experimental investigations of three inducers. Journal of Fluids Engineering, 128(6):1308-1323.

[11]Menter FR, 1994. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA Journal, 32(8):1598-1605.

[12]Moshfeghi M, Hur N, 2015. Effects of SJA boundary conditions on predicting the aerodynamic behavior of NACA 0015 airfoil in separated condition. Journal of Mechanical Science and Technology, 29(5):1829-1836.

[13]Orszag SA, Yakhot V, Flannery WS, et al., 1993. Renormalization group modeling and turbulence simulations. International Conference on Near-wall Turbulent Flows, p.139-158.

[14]Robinette DL, Schweitzer JM, Maddock DG, et al., 2008a. Predicting the onset of cavitation in automotive torque converters-Part I: designs with geometric similitude. International Journal of Rotating Machinery, 2008:803940.

[15]Robinette DL, Schweitzer JM, Maddock DG, et al., 2008b. Predicting the onset of cavitation in automotive torque converters-Part II: a generalized model. International Journal of Rotating Machinery, 2008:312753.

[16]Schnerr GH, Sauer J, 2001. Physical and numerical modeling of unsteady cavitation dynamics. Proceedings of the 4th International Conference on Multiphase Flow, p.1-8.

[17]Singhal AK, Athavale MM, Li HY, et al., 2002. Mathematical basis and validation of the full cavitation model. Journal of Fluids Engineering, 124(3):617-624.

[18]Smagorinsky J, 1963. General circulation experiments with the primitive equations: I. The basic experiment. Monthly Weather Review, 91(3):99-164.

[19]Snigerev BA, Tukmakov AL, Tonkonog VG, 2017. Numerical investigation the dynamics of vaporization at the flow of liquid methane in channel with variable section. Journal of Physics: Conference Series, 789:012056.

[20]Stuparu A, Susan-Resiga R, Anton LE, et al., 2010. Numerical investigation of the cavitational behaviour into a storage pump at off design operating points. IOP Conference Series: Earth and Environmental Science, 12:012068.

[21]Tsutsumi K, Watanabe S, Tsuda SI, et al., 2017. Cavitation simulation of automotive torque converter using a homogeneous cavitation model. European Journal of Mechanics-B/Fluids, 61:263-270.

[22]Watanabe S, Otani R, Kunimoto S, et al., 2012. Vibration characteristics due to cavitation in stator element of automotive torque converter at stall condition. ASME Fluids Engineering Division Summer Meeting Collocated with the ASME Heat Transfer Summer Conference and the ASME 10th International Conference on Nanochannels, Microchannels, and Minichannels, p.535-541.

[23]Zheng HP, Lei YL, Song PX, 2016. Design of the filling-rate controller for water medium retarders on the basis of coolant circulation. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 230(9):1286-1296.

[24]Zheng HP, Lei YL, Song PX, 2017a. Hydraulic retarders for heavy vehicles: analysis of fluid mechanics and computational fluid dynamics on braking torque and temperature rise. International Journal of Automotive Technology, 18(3):387-396.

[25]Zheng HP, Lei YL, Song PX, 2017b. Water medium retarders for heavy-duty vehicles: computational fluid dynamics and experimental analysis of filling ratio control method. Journal of Hydrodynamics, 29(6):1067-1075.

[26]Zheng HP, Lei YL, Song PX, 2018. Designing the main controller of auxiliary braking systems for heavy-duty vehicles in nonemergency braking conditions. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 232(9):1605-1615.

[27]Zwart PJ, Gerber AG, Belamri T, 2004. A two-phase flow model for predicting cavitation dynamics. ICMF 2004 International Conference on Multiphase Flow, Paper No. 152.