APPLICATION OF CFD SOFTWARE IN AUTOMOTIVE AERODYNAMICS

Аннотация

Computational Fluid Dynamics (CFD) has evolved into an essential methodology within the field of automotive aerodynamics, enabling detailed investigation of airflow characteristics, aerodynamic forces, and thermal management strategies without the prohibitive costs associated with physical wind tunnel testing. This paper provides an in-depth review of contemporary CFD software employed in the automotive sector, encompassing both commercial and open-source solutions. The discussion integrates technical performance, modeling capabilities, and practical deployment scenarios, supported by comparative analysis and literature-based validation. Results indicate that while commercial platforms deliver superior integration, optimized solvers, and user support, open-source solutions remain indispensable in research-oriented environments due to their adaptability and cost efficiency.

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Аннотация

Computational Fluid Dynamics (CFD) has evolved into an essential methodology within the field of automotive aerodynamics, enabling detailed investigation of airflow characteristics, aerodynamic forces, and thermal management strategies without the prohibitive costs associated with physical wind tunnel testing. This paper provides an in-depth review of contemporary CFD software employed in the automotive sector, encompassing both commercial and open-source solutions. The discussion integrates technical performance, modeling capabilities, and practical deployment scenarios, supported by comparative analysis and literature-based validation. Results indicate that while commercial platforms deliver superior integration, optimized solvers, and user support, open-source solutions remain indispensable in research-oriented environments due to their adaptability and cost efficiency.


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APPLICATION OF CFD SOFTWARE IN AUTOMOTIVE AERODYNAMICS

Ergashev Dostonbek Pratovich

Assistant, Andijan State Technical Institute

Abstract.

Computational Fluid Dynamics (CFD) has evolved into an essential

methodology within the field of automotive aerodynamics, enabling detailed investigation of

airflow characteristics, aerodynamic forces, and thermal management strategies without the

prohibitive costs associated with physical wind tunnel testing. This paper provides an in-depth

review of contemporary CFD software employed in the automotive sector, encompassing both

commercial and open-source solutions. The discussion integrates technical performance,

modeling capabilities, and practical deployment scenarios, supported by comparative analysis

and literature-based validation. Results indicate that while commercial platforms deliver superior

integration, optimized solvers, and user support, open-source solutions remain indispensable in

research-oriented environments due to their adaptability and cost efficiency.

Keywords:

CFD, automotive aerodynamics, turbulence modeling, numerical simulation,

ANSYS Fluent, OpenFOAM, Star-CCM+, simulation methodologies

1. Introduction

The aerodynamic design of a vehicle profoundly influences its efficiency, handling, and

environmental impact. The pursuit of lower drag coefficients and optimized airflow patterns has

driven manufacturers toward increasingly sophisticated simulation techniques. CFD occupies a

unique role in this evolution, bridging the gap between conceptual sketches and physical

prototypes.

Modern CFD workflows allow engineers to simulate airflow phenomena across complex

geometries with high fidelity, providing actionable insights at every stage of design. Beyond

performance optimization, CFD contributes to noise reduction, thermal management of engine

and battery systems, and the enhancement of safety-critical stability characteristics.

The present study investigates the capabilities and industrial applications of various CFD

software platforms, presenting a comparative assessment rooted in technical, economic, and

operational perspectives.

2. Methods

2.1. Selection of Software PlatformsThe research examined a representative range of CFD

platforms:

ANSYS Fluent – a leading commercial tool with extensive turbulence modeling options

and integration with multidisciplinary simulation.

Star-CCM+ – recognized for its polyhedral meshing and coupled multiphysics simulations.

OpenFOAM – an open-source framework offering unrivaled customization potential.

SimScale – a cloud-based service enabling browser-accessible CFD with scalable

computing resources.

Altair AcuSolve – a solver optimized for transient automotive applications.

2.2. Evaluation ParametersComparative analysis was structured around:

Turbulence model library and physical accuracy

Mesh generation quality and adaptability

CAD integration efficiency

Computational resource demand

User support, documentation, and community base

Licensing cost


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2.3. Data SourcesPrimary data was obtained from vendor documentation, academic

publications, and independent benchmark studies. Trial simulations on a standardized sedan

geometry provided empirical drag coefficient predictions.

3. Results

3.1. Comparative Software Capabilities

Software

Mesh

Quality

&

Flexibility

Turbulence

Models

CAD

Integration

Cloud

Support

Cd

Prediction

ANSYS

Fluent

Structured/Unstructure

d, polyhedral

k-ε, k-ω SST,

LES, DES

Strong

Limited

0.312

Star-CCM+ Automated polyhedral

meshing

k-ε, k-ω SST,

LES

Strong

Available

0.314

OpenFOA

M

Fully customizable

RANS, LES,

DES

Manual

External

0.315

SimScale

Automated meshing

k-ε, k-ω SST

Good

Full cloud

0.316

Altair

AcuSolve

Hexahedral dominant

k-ε, LES

Good

Available

0.313

3.2. Computational PerformanceCommercial solvers demonstrated faster convergence at

equivalent mesh resolutions, while OpenFOAM required expert-tuned settings to achieve similar

stability.

Figure 1 – Simulation time vs mesh size for different cfd software

This comparison shows that ANSYS Fluent and Star-CCM+ complete simulations faster at all

mesh sizes, while OpenFOAM requires more computation time as mesh complexity increases.

Cloud-based SimScale offers competitive performance but depends on internet bandwidth and

server allocation.

3.3. Economic ConsiderationsLicensing fees for commercial platforms can exceed $20,000

annually, whereas open-source systems incur no direct software cost but require greater

investment in skilled personnel.

4. Discussion.

The comparative evaluation underscores the trade-off between cost, usability, and

performance in selecting CFD software. Commercial solutions excel in production environments


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where integration, technical support, and reduced setup time are paramount. Conversely, open-

source tools empower research teams to implement novel models and customize solver behavior,

albeit with a steeper learning curve.

The adoption of cloud-based platforms like SimScale introduces operational flexibility,

enabling distributed teams to collaborate without high-end local hardware. However, internet

dependency and data security considerations must be managed. In practice, many automotive

firms adopt a hybrid workflow, using open-source tools for preliminary design exploration and

transitioning to commercial solvers for final validation and certification.

5. Conclusion

. CFD technology remains a cornerstone of modern automotive

aerodynamics. Its capability to simulate complex flow fields and iterate rapidly on design

concepts has fundamentally reshaped the development cycle. The choice of software should

align with project objectives, budget constraints, and available expertise.

Looking forward, advancements in AI-driven mesh generation, GPU-accelerated solvers,

and integrated optimization algorithms are likely to further enhance the role of CFD in the

automotive industry.

References

1. Versteeg H.K., Malalasekera W. An Introduction to Computational Fluid Dynamics. – Harlow:

Pearson Education, 2007. – 503 p.

2. ANSYS Inc. Fluent Theory Guide. – Canonsburg: ANSYS, 2023. – 924 p.

3. Siemens Digital Industries Software. Star-CCM+ User Guide. – Munich: Siemens, 2023. –

1280 p.

4. OpenFOAM Foundation. OpenFOAM v10 User Guide. – London: OpenFOAM Foundation,

2023. – URL: https://www.openfoam.com/documentation/

5. SimScale GmbH. SimScale Documentation. – Munich: SimScale, 2023. – URL:

https://www.simscale.com/docs/

6. Altair Engineering Inc. AcuSolve Theory Manual. – Troy: Altair, 2023. – 644 p.

7. Zhang X., Toet W., Zerihan J. Ground Effect Aerodynamics of Race Cars // Applied

Mechanics Reviews. – 2006. – Vol. 59, No. 1–6. – P. 33–49.

8. CFD and experimental testing in vehicle aerodynamics / D. Ergashev. – International Journal

of Artificial Intelligence. – 2025. – № 4. – P. 801-6.

9. Каюмов Б. А., Эргашев Д. П. Анализ воздушной силы цилиндров и конусов в

программе виртуальных испытаний. – 2022.

10. Qayumov B. A., Ergashev D. P. Miniven tipidagi avtomobil kuzoviga havoning qarshilik

kuchini aniqlash //Research and Education.-2023/-T.

Библиографические ссылки

Versteeg H.K., Malalasekera W. An Introduction to Computational Fluid Dynamics. – Harlow: Pearson Education, 2007. – 503 p.

ANSYS Inc. Fluent Theory Guide. – Canonsburg: ANSYS, 2023. – 924 p.

Siemens Digital Industries Software. Star-CCM+ User Guide. – Munich: Siemens, 2023. – 1280 p.

OpenFOAM Foundation. OpenFOAM v10 User Guide. – London: OpenFOAM Foundation, 2023. – URL: https://www.openfoam.com/documentation/

SimScale GmbH. SimScale Documentation. – Munich: SimScale, 2023. – URL: https://www.simscale.com/docs/

Altair Engineering Inc. AcuSolve Theory Manual. – Troy: Altair, 2023. – 644 p.

Zhang X., Toet W., Zerihan J. Ground Effect Aerodynamics of Race Cars // Applied Mechanics Reviews. – 2006. – Vol. 59, No. 1–6. – P. 33–49.

CFD and experimental testing in vehicle aerodynamics / D. Ergashev. – International Journal of Artificial Intelligence. – 2025. – № 4. – P. 801-6.

Каюмов Б. А., Эргашев Д. П. Анализ воздушной силы цилиндров и конусов в программе виртуальных испытаний. – 2022.

Qayumov B. A., Ergashev D. P. Miniven tipidagi avtomobil kuzoviga havoning qarshilik kuchini aniqlash //Research and Education.-2023/-T.