The Automatic Aerodynamic CFD Framework Employing Vehicle Specifications at the Concept Stage of Development

Takiguchi, Tetsuya; Ogawa, Kenta; Tateyama, Hiroyuki; Oda, Tetsuya

doi:10.4271/2013-01-0604

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Wind tunnel experiments are known to be expensive and preparation time is high due to test model build up. In contrast to wind tunnel testing, numerical method such as Computational Fluid Dynamics (CFD) require lesser running costs and useful in understanding the flow [1]. Thus it becomes important to use simulation in product development stage.…”

Section: Introductionmentioning

confidence: 99%

Validation of CFD Modeling and Simulation of a Simplified Automotive Model

Mansor

Mohd

Chung

2015

AMM

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In the early design phase of automotive sector, the flow field around the vehicle is important in decision making on design changes. It would consume a lot of money and time for multiple prototypes development if adopt traditional testing method which is wind tunnel test. Thus, numerical method such as Computational Fluid Dynamics (CFD) simulation plays an important role here. It is very often simulation results been compared with wind tunnel data. However, with various mesh types, meshing methodology, discretization methods and different solver control options in CFD simulation, users may feel low confidence level with the generated simulation results. Thus, a robust modeling and simulation guideline which would help in accurate prediction should be developed due to the industry’s demand for accuracy when comparing CFD to wind tunnel results within short turnaround time. In this paper, a CFD modeling and simulation study was conducted on a simplified automotive model to validate with wind tunnel test results. The wind tunnel environment was reproduced in the simulation setup to include same boundary conditions. Meshing guidelines, turbulence model comparisons and also the best practice for solver setup with respect to accuracy will be presented. Overall, CFD modeling and simulation methods applied in this paper are able to validate the results from experiment accurately within small yaw ranges.

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Section: Introductionmentioning

confidence: 99%

Validation of CFD Modeling and Simulation of a Simplified Automotive Model

Mansor

Mohd

Chung

2015

AMM

View full text Add to dashboard Cite

show abstract

“…Wind tunnel experiment is known to be expensive and preparation time is high due to test model build up and equipments setup. In contrast to wind tunnel testing, numerical method such as Computational Fluid Dynamics (CFD) require lesser running costs and useful in understanding the flow [1]. Thus it becomes important to use simulation in product development stage.…”

Section: Introductionmentioning

confidence: 99%

CFD Simulation of a Simplified Automotive Model for Various Rear Slant Angle

Mansor

Mohd

Chung

2014

AMM

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In the early design phase of automotive sector, the flow field around the vehicle is important in decision making on design changes. It would consume a lot of money and time for multiple prototypes development if adopt traditional testing method which is wind tunnel test. Thus, CFD Simulation plays an important role here. In this paper, a CFD simulation study was conducted on a simplified automotive model called Davis model with constant velocity of 40 m/s. Modification of rear slant angle bring significant effects on the wakes produced which also affect the drag performance. Many configurations of body designs can be produced by a single rear slant angle. So that, fixed rear slope and fixed rear height configuration have been chosen for investigations for various rear slant angles. In this paper, the flow of Davis model especially on the rear slanted surface is discussed. Pressure coefficient contour, pressure coefficient plot and vorticity structures are presented. This work shows that the drag coefficient value vary between fixed rear slope model and fixed rear height model even for the same rear slant angle under a range of yaw angle.

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