Computational & Technology Resources
an online resource for computational,
engineering & technology publications |
|
Civil-Comp Proceedings
ISSN 1759-3433 CCP: 94
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by:
Paper 157
Aerodynamic Shape Optimization of Hovering Rotors using Compressible Computational Fluid Dynamics C.B. Allen and T.C.S. Rendall
Department of Aerospace Engineering, University of Bristol, Avon, United Kingdom C.B. Allen, T.C.S. Rendall, "Aerodynamic Shape Optimization of Hovering Rotors using Compressible Computational Fluid Dynamics", in , (Editors), "Proceedings of the Seventh International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 157, 2010. doi:10.4203/ccp.94.157
Keywords: aerodynamic optimisation, shape parameterization, mesh deformation, radial basis functions, rotor aerodynamics, computational fluid dynamics.
Summary
Constrained aerodynamic shape optimization of a helicopter rotor in hover
is presented, using compressible computational fluid dynamics (CFD) as the aerodynamic model. The
key aspect of a flexible optimization and design process is
an effective geometry parameterization approach, that is flexible enough to
allow sufficient design space investigation and robust enough to be
applicable to any geometry or design surface. Furthermore, a small
number of design parameters is desirable, particularly if using a
finite-difference gradient evaluation. Related to the surface control is the
required volume mesh deformation or regeneration once the design surface
has been deformed, and mesh deformation is much prefered, to
avoid introducing differing discretization error. An efficient domain element shape
parameterization method is used here as the surface control and
deformation method, and is linked to a radial basis function
global interpolation, to provide direct transfer of domain element movements
into deformations of the design surface and the CFD volume
mesh, which is deformed in a high-quality fashion, and so
both the geometry control and volume mesh deformation problems are
solved simultaneously. This method is independent of mesh type (structured
or unstructured) or size, and optimization independence from the flow
solver is achieved by obtaining sensitivity information for an advanced
gradient-based algorithm by finite-difference. The optimizer has also been parallelized,
in a data sense, such that each CPU can spawn
its own parameter perturbation, mesh deformation, and call to the
flow-solver, so each parameter sensitivity can be computed independently, and
results returned to the master for optimizer updates. This has
resulted in a flexible and versatile modular method of 'wrap-around'
optimization. Previous work has applied the methods to hovering rotors
using only twist parameters, using minimum torque as the objective,
with strict constraints on thrust, internal volume and pitching moments
applied. The effects of global and local twist parameters were
investigated, and showed that significant torque reductions could be achieved
using only three global and 15 local twist parameters. This
paper extends the parameterization to allow more flexibility, by incorporating
local planform changes; the three global twist variations used previously,
are combined with local dihedral, sweep, chord, and thickness variations,
to give a total of 63 local and global parameters.
Results are presented for two transonic tip speeds, and large
geometric changes are demonstrated in both cases, resulting in significant
torque reductions, along with reductions in the other two root moments.
purchase the full-text of this paper (price £20)
go to the previous paper |
|