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Computational Analysis of the Geometry
of a Bus to Improve Its Aerodynamic
Performance
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PRESENTATION TOPICS
Company Overview
Problem Description
Goal
Methodology
Conclusion and Next Steps
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Company Overview
UniversityEscuela Colombiana de
Ingeniera Julio Garavito.
Bogot - Colombia.
Department of Mechanical
Engineering
Research GroupSemillero de Investigacin de
Gestin Eficiente y Sostenible
de la Energa.
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Company Overview
ContactDirector:
Sergio Carrin [email protected]
Student:
Oscar Cabrera [email protected]
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Problem Description
The drag coefficient is a significant constant that
automotive industry highly concentrates on. The drag
coefficient is a factor that evaluates the aerodynamic
efficiency of the road vehicle in addition to its
maneuverability. Reducing the drag coefficient means
reducing the fuel consumption of the vehicle [1].
[1] Mazyan, W. Numerical Simulations of Drag-reducing Devices
for Ground Vehicles. Thesis
Presented to the Faculty of the American University of Sharjah
College of Engineering for the Degree
of Master of Science in Mechanical Engineering. 2013.
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Goal
This study was conducted in order to obtain the optimal
drag coefficient (Cd) for four parts of the body of a bus.
Five variations to the base geometry of each body part,
for three-speed displacement characteristics were
performed.
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Methodology
Bus: Zircon
Company: Non Plus Ultra S.A.
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Methodology
Model CAD
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Methodology
Configurations
Borde externo
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Methodology
Configurations
Inclinacin Panormico
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Methodology
Configurations
Vista Lateral Atrs
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Methodology
Configurations
Vista Superior Atrs
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Methodology
=1
2 2
Governing Equations
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Methodology
=2
2
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Methodology
By Workbench platform every part
of this study was organized in
modules. The first module was
used Design Modeler, which
allowed prepare the geometry. We
sought out the geometry as simple
as possible to minimize errors in
the process of meshing.
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Methodology
The next module used was Meshing with which an
elementary mesh was further refined to increase the
number of nodes and elements was created.
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Methodology
Fluent Finally the module was used in order to make the
analysis of airflow around the surface of the bus.
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Methodology
Refined model
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Methodology
Refined model
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Conclusion and Next Steps
Comparison of drag coefficient for
configuration at different vehicle speeds.
Speed (Km/h)
Parameter 120 80 60
Cd 0,236 0,2409 0,2421
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Conclusion and Next Steps
In general, the found values of drag coefficientevaluated by
ANSYS software, are lower than those
of the initial geometry or baseline study.
The present study is the first step for anaerodynamically
efficient bus design.
Improve bus model for more accurate results.
Test the final design bus in wind tunnel.
