Numerical simulation of flow field around the race car in case

Dang, Tien Phuc; Gu, Zhengqi; Chen, Zhen

doi:10.1108/hff-04-2014-0107

Cited by 12 publications

(7 citation statements)

References 18 publications

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“…The vehicle surface resolution ranges from 4 to 8 mm, and there are 15 prism layers generated nearest to the vehicle; the thickness of the first layer is 0.0001 m to obtain the wall Yþ < 1 for LES simulation, as shown in Figure 4. The cell number will affect the simulation results, so the grid independence is performed with several different mesh configurations with their wall normal resolution of Y þ < 1 (Hamut et al, 2014;Dang et al, 2015). The simulation results are listed in Table I (Figure 4).…”

Section: Aerodynamicsmentioning

confidence: 99%

Coupled analysis of vehicle stability in crosswind on low adhesion road

Huang

et al. 2018

HFF

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Purpose The purpose of this paper is to develop a two-way coupling approach for investigating the aerodynamic stability of vehicles under the combined effect of crosswind and road adhesion. Design/methodology/approach The author develops a new two-way coupling approach, which couples large eddy simulation with multi-body dynamics (MBD), to investigate the crosswind stability on three different adhesion roads: ideal road, dry road and wet road. The comparison of the results obtained using the traditional one-way coupling approach and the new two-way coupling approach is also done to assess the necessity to use the proposed coupling technique on low adhesion roads, and the combined effect of crosswind and road adhesion on vehicle stability is analyzed. Findings The results suggest that the lower the road adhesion is, the larger deviation a vehicle generates, the more necessary to conduct the two-way coupling simulation. The combined effect of the crosswind and road adhesion can decrease a vehicle’s lateral motion on a high adhesion road after the disappearing of the crosswind. But on a low adhesion road, the vehicle tends to be unstable for its large head wind angle. The vehicle stability in crosswind on a low adhesion road needs more attention, and the investigation should consider the coupling of aerodynamics and vehicle dynamics and the combined effect of crosswind and road adhesion. Originality/value Developing a new two-way coupling approach which can capture the complex vehicle structures and the road adhesion with MBD model and the completed fluid filed structure with CFD model. The present study might be the first study considering the coupling of crosswind and low adhesion road. The proposed two-way coupling approach will be useful for researchers who study vehicle crosswind stability.

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Section: Aerodynamicsmentioning

confidence: 99%

Coupled analysis of vehicle stability in crosswind on low adhesion road

Huang

et al. 2018

HFF

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Section: Methodsmentioning

confidence: 99%

“…The error of the aerodynamic drag between the calculation and wind tunnel test is less than 2%, which demonstrates high calculation precision; thus, the numerical calculation method can be applied to the following research work. 30 Figure 5 presents the pressure distribution of the Ahmed model on the symmetric plane. On the model top surface, the pressure coefficients measured by the simulation and wind tunnel test are almost indistinguishable.…”

Section: Validationmentioning

confidence: 99%

Experimental and numerical investigations of the vehicle aerodynamic drag with single-channel rear diffuser

Huang

Zhuang

Wan

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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The main purpose of this paper is to reveal the drag reduction mechanism of single-channel rear diffuser on the vehicle aerodynamic drag and to obtain the relationship between the structure parameters of rear diffuser and the vehicle aerodynamic drag. The influence of the single-channel rear diffuser on the aerodynamic drag is studied using the Reynolds-averaged method with the 25° slant Ahmed model. The accuracy of the numerical method is validated by means of a wind tunnel test. The aerodynamic performance of the Ahmed model with different vertical diffuser angles, lateral diffuser angles, and channel widths is discussed. The results demonstrate that the vortex location will be influenced by the vertical diffuser angle, and with the vortex core approaching to the model, the aerodynamic drag will increase. The aerodynamic drag reaches the minimum value with a vertical diffuser angle of 10.46°. Moreover, the aerodynamic drag decreases with increasing channel width. Finally, the aerodynamic drag can be reduced by 5.3%, when the vertical diffuser angle, lateral diffuser angle, and channel width are 10.46°, 0°, and 351 mm, respectively.

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“…Furthermore, steady RANS has been reported as still being the most used and accepted approach in vehicle industry (Diasinos et al ., 2015). Therefore, steady-state analysis is conducted in this research work as this remains the preferred approach in academia and in industry (Defraeye et al ., 2010; Diasinos et al ., 2014; Dang et al ., 2015; Diasinos et al ., 2017). The solution is set as implicit and a finite volume method is used to solve RANS equation (McManus and Zhang, 2005).…”

Section: Computer-simulated Experimentationmentioning

confidence: 99%

Artificial intelligence-based Monte-Carlo numerical simulation of aerodynamics of tire grooves using computational fluid dynamics

Uddin

Arafat

Kazim

et al. 2019

AIEDAM

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In the current work, the effects of design (groove depth and groove width) and operational (temperature and velocity) parameters on aerodynamic performance parameters (coefficient of drag and coefficient of lift) of an isolated passenger car tire have been investigated. The study is conducted by using neural network-based Monte-Carlo analysis on computational fluid dynamics (CFD). The computer experiments are designed to obtain the causal relationship between tire design, operational, and aerodynamic performance parameters. The Reynolds-averaged Navier–Stokes equations-based Realizable K-ε model has been employed to analyze the variations in flow patterns around an isolated tire. The design parameters are varied over wide range and full factorial design, while considering temperature and velocity is completely explored to draw conclusive results. The multi-layer perceptron type neural network with the back-propagation algorithm is trained to map any non-linearity in causal relationships. The sensitivity analysis is performed to find the relationship between control variables and performance indicators. The importance of control variable is determined by both sensitivity and significance analyses and the paired interaction analysis is performed between selected control variables to find the interactive behavior of corresponding variables. The design parameter of groove width with 6.8% and 41% reduction in drag and lift coefficient, respectively, and conventionally overlooked operational parameter of velocity with 4% and 35% impact on drag and lift coefficient, respectively, are found to be the most significant variables. The air trapped between the longitudinal grooves and the road is found to follow the beam theory. The interaction of the groove depth and width is found to be significant with respect to coefficient of lift based on the air beam concept. The interaction of groove width and velocity is found to be significant with respect to both coefficients of lifts and drag.

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Numerical simulation of flow field around the race car in case

Cited by 12 publications

References 18 publications

Coupled analysis of vehicle stability in crosswind on low adhesion road

Coupled analysis of vehicle stability in crosswind on low adhesion road

Experimental and numerical investigations of the vehicle aerodynamic drag with single-channel rear diffuser

Artificial intelligence-based Monte-Carlo numerical simulation of aerodynamics of tire grooves using computational fluid dynamics

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