17. Improving the Aerodynamic Performance of Formula One Racing Cars
Submitting Institution
Imperial College LondonUnit of Assessment
Aeronautical, Mechanical, Chemical and Manufacturing EngineeringSummary Impact Type
TechnologicalResearch Subject Area(s)
Engineering: Interdisciplinary Engineering
Summary of the impact
Since the 1970's the influence of aerodynamics on racing car design has
risen substantially, and
now in the modern era it is seen as one of the most important factors in
producing a race-winning
car. Research carried out in the Department of Aeronautics at Imperial
College London, into flow
control techniques and the development of cutting-edge numerical and
experimental methods has
allowed specific and significant improvements in the aerodynamic design of
Formula One racing
cars. This has led to reduced lap times and a more competitive racing
environment. These
advances have also contributed to improving handling, resulting in a safer
racing environment. This
research has provided the Formula One industry, which has an estimated
annual turnover of $2
billion, with a means to employ engineers who have the key knowledge and
insights that allow
them to continue to innovate in a tightly controlled engineering
environment. The Chief Designer
or Chief Aerodynamicist in six out of the twelve 2012 F1 teams have
carried out relevant research
at Imperial College London.
Underpinning research
Basic research on bluff body flow control (non-streamlined flow) is
undertaken at the Aerodynamics
Department of Imperial College London led by Professors P.W. Bearman, J.K.
Harvey*, J.F.
Morrison and S.J. Sherwin (* left in 2009). Specific research findings by
the group that led to
substantial impact are outlined here.
Stability analysis of vortex dominated flows around complex geometries
Professor Sherwin began working at Imperial as a lecturer in 1996. Once
here he made key
developments to the high order numerical code, Nektar, which allowed the
accurate and transient
simulation of flow around or over complex geometries. These developments
were:
- the concept of the high-order unstructured discretisations (using
triangular/tetrahedral as
opposed to rectangular/hexahedral meshes), [1]
- the parallelisation of the code using algorithms that were based on the
new class of
hierarchical spectral methods appropriate for tensor-product
representations in hybrid
subdomains, i.e. tetrahedra, hexahedra, prisms and pyramids [2]
- an efficient preconditioning strategy for substructured solvers based
on a transformation of
the expansion basis to a low-energy basis. [3]
Prof Sherwin has been awarded a Royal Academy of Engineering Research
Chair, part-sponsored
by McLaren, to assist in the further development of this work.
Insights gathered by use of the Nektar code were complemented by
experimental investigations
led by Prof Bearman and Prof Harvey from 2002-2006. Obtaining a full
understanding of the flow
around a rotating road wheel presented a challenging problem. Working in a
wind tunnel frame of
reference, it was clearly illustrated that the flow travelling along the
ground meets flow driven by
the no slip condition at the tyre surface, which is a thin layer of flow
rotating with the wheel, in the
region of contact between the wheel and the ground. The result of these
flows coming together is
the sideways jetting flow that can be seen in instantaneous particle image
velocimetry (PIV)
velocity fields. The jet and resulting large region of locally disturbed
flow were clearly visible in the
PIV plots from a study of a racing car wheel undertaken in 2006 by Pegrum,
a PhD student
supervised by Bearman [4]. Also the vortex system produced by the wing and
endplate
configuration as it travels downstream was characterised and better
understood.
Passive Methods to control flow
Professor Peter Bearman has a long established research record in the use
of passive control
techniques to reduce bluff body drag and suppress vortex-induced
vibration. Specifically, between
1997 and 2001 Prof Bearman investigated the geometry changes that were
needed to produce
significant reduction in drag [5] and determined that small
changes can have a very significant
effect. More recently (in 2010) Prof Morrison also investigated the
relationship between transient-
growth disturbances in the boundary layer and the wall-shear-stress
signature and the effect on the
relative placement of sensors and actuators in feedback control
implementation [6]. Through this
research it became clear that controlling flow to maximize stability and
minimize drag can be
achieved by subtle body shape changes and through the use of small
appendages.
References to the research
* Outputs that best indicates quality of underpinning research.
4. P.W.Bearman, Bluff Body Flow Research with Application to Road
Vehicles. The
Aerodynamics of Heavy Vehicles II: Trucks, Buses, and Trains.
Springer Berlin Heidelberg,
2009. 3-13. DOI 10.1007/978-3-540 85070-0_1
5. *N. Tombazis and P.W. Bearman, A study of three-dimensional aspects of
vortex shedding
from a bluff body with a mild geometric disturbance, J. Fluid Mech. 330,
85-112, 1997. DOI:
10.1017/S0022112096003631. Times Cited: 59 WoS as at 16/09/13.
6. A. M. Naguib, J. F. Morrison, and T. A. Zaki On the relationship
between the wall-shear-stress
and transient-growth disturbances in a laminar boundary layer, Phys.
Fluids 22, 054103 (2010).
DOI:10.1063/1.3415220
Details of the impact
Stability analysis of vortex dominated flows around complex geometries
Being able to accurately identify and manage the generation of vortices is
key to competitive racing
car design. Using the insights from the Nektar code Prof Sherwin carried
out work, directly
sponsored by the Formula One team McLaren Racing Ltd. to numerically
simulate the unsteady
flow around the complex geometry of a Formula One car. This involves
multiple vortices, some of
which are subject to fast, dynamically driven external effects such as
merging or obstacle
interactions and some to large scale effects such as strong pressure
gradients. These external
effects can lead to vortex breakdown. The industry supported work looked
at the systematic
characterisation and identification of the vortices present in a typical
Formula 1 racing car
configuration. Due to the new Nektar code it was carried out with an
improved level of accuracy
and the systematic identification of the vortices intrinsic parameters was
achieved [A]. This has
allowed for the effective management in the design of Formula One cars and
has been used since
2011 in the computational fluid dynamics data analysis of McLaren's F1
Cars. Formula One is an
extremely competitive arena where any resultant modification in the design
of a racing car is
considered to be highly confidential information. For this reason we are
unable to go into the
specific detail of the impact of the above on design and performance, but
the significant impact is
confirmed by McLaren's Engineers:
- "I implemented computational tools... which is now regularly used in
the CFD data analysis
of McLaren's F1 Cars" (CFD Engineer, McLaren Racing Ltd, May 2012) [B] ;
- "Managing these vortical structures efficiently around the car can
lead to significant
performance gains at the race track. At McLaren, I also implemented
techniques to identify
vortical structures, which helped us a lot" (Senior Concept
Aerodynamicist, currently at
Ferrari Racing, June 2012) [C].
The improved experimental understanding of the vortex system [4] has
according to the Front
Team Leader in Aerodynamic of McLaren Racing Ltd, been used "several times
for correlation
work with CFD (for both RANS and unsteady simulation)" April 2012 [D].
The significant impact of this research is also clearly acknowledged by
the Head of CFD at
McLaren Racing Ltd where in May 2012 he states: "First the application of
high order spectral/hp
element methods to complement and enhance the flow analysis capabilities
at McLaren,
particularly in capturing unsteady vortices in the flow around the complex
geometries of Formula 1
cars. Second your work on understanding the stability of single and
multiple vortices relevant to
Formula 1 flow regimes has also provided valuable insight for our design
process".[E]
Passive Methods to control flow
Subsequent and more specific studies building on the general findings on
passive methods and
focusing on Formula One cars was supported by McLaren from 2011-2013. Here
passive methods
employing small geometric changes were developed specifically for a
Formula one car. These
looked at small geometric modifications (roughness) to the rear wing
geometry that transformed
straight flow separation lines into wavy ones to reduce the strength of
shed vortices [F]. Small yet
significant changes to the external geometry, within the regulations
allowed for that year, gave
improved performance to their car. Again the specific of the effect of
this on performance cannot be
reported however a Computational Fluid Dynamics (CFD) engineer at McLaren
states that: the
concept was "...implemented and tested and shown very encouraging results"
[G]. McLaren Racing
Limited are one of the most successful teams in Formula One, having won
182 races, 12 drivers'
championships and 8 constructors' championships.
The knowledge has primarily been disseminated through the movement of
people into the
engineering teams and McLaren have heavily recruited from the research
teams involved in the
research outlined in section 2. Owing to the tight regulations laid down
by the FIA (the international
governing body for motor sport) to control racing car design, the
recruitment of talented and highly
expert aerodynamicist has become ever-more important, so that they can
maximise performance
gains. The research activities at Imperial have created the insights that
are needed for effective
race car design, allowing it to be a key source of experts that understand
and can successfully
improve car design. Twenty-two researchers active within the Department of
Aeronautics since
1993 are currently employed by F1 teams and work on various aspects of
aerodynamics. These
include the current Chief Designers of Ferrari and Mercedes and the Heads
of Aerodynamics of
Red Bull, Lotus and Mercedes. Recruitment of so many expert engineers has
helped the UK racing
car industry to remain at the forefront of international motorsport. The
Chief Designer of Mercedes
GP, who carried out the research with Prof Bearman states that
"researching the fundamentals of
flow control has been invaluable in the innovation I have been able to
achieve within F1 over the
past few years" [E].
Positions held (as at July 2012) in Formula 1 by those that carried out
research at Imperial College
Department of Aeronautics since 1 Jan 1993:
Mercedes GP
Chief Designer, Head of Aerodynamics and one Aerodynamicist.
Ferrari
Chief Designer, Senior Concept Aerodynamicist, 3 Aerodynamicists.
Hispania (HRT)
Head of Aerodynamics
Red Bull
Head of Aerodynamics
Virgin
Aerodynamicists
Lotus Renault
Head of Aerodynamics and Team Leader Computational Fluid Dynamics
Toro Rosso
Senior Computational Fluid Dynamics Aerodynamicists
McLaren Racing Ltd
Head of Future Concepts, three Aerodynamicists and a Vehicle Dynamists.
Williams
Principal Aerodynamicist
Sources to corroborate the impact
A. Confidential research report "Direct numerical simulations and
stability analysis of vortex
dominated flows around complex geometries" December 2011
B. CFD Engineer, McLaren Racing Ltd. to confirm the impact from the use
of CFD tools in F1 car
design.
C. Senior Concept Aerodynamicist, Ferrari to confirm the impact from
techniques to identify
vortical structures in F1 car design.
D. Aerodynamics, Front Team Leader - McLaren Racing Ltd to confirm the
impact from the use of
research in the interaction between flow from front wings and rotating
wheels.
E. Head of CFD, McLaren Racing Ltd to confirm the impact from the use of
high order spectral/hp
element methods and CFD modelling in passive design.
F. Confidential research report "Dual Velocity-Component Investigation of
Transient Growth",
July 2013.
G. Chief Designer, Mercedes-Benz GP Ltd to confirm corroboration of the
impact on the expertise
available to industry as a result of the research.