Name
Abstract | ||
|---|---|---|
Automatic multidisciplinary design optimization is one of the challenges that are faced in the processes involved in designing efficient wings for aircraft. In this paper we present mixed fidelity aerodynamic and aero-structural optimization methods for designing wings. A novel shape design methodology has been developed - it is based on a mix of the automatic aerodynamic optimization for a reference aircraft model, and the aero-structural optimization for an uninhabited air vehicle (UAV) with a high aspect ratio wing. This paper is a significant step towards making it possible to perform all the core processes for aerodynamic and aero-structural optimization that require special skills in a fully automatic manner - this covers all the processes from creating the mesh for the wing simulation to executing the high-fidelity computational fluid dynamics (CFD) analysis code. Our results confirm that the simulation tools can make it possible for a far broader range of engineering researchers and developers to design aircraft in much simpler and more efficient ways. This is a vital step in the evolution of wing design processes as it means that the extremely expensive laboratory experiments that were traditionally used when designing the wings can now be replaced with more cost effective high performance computing (HPC) simulation that utilize accurate numerical methods. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/HPCS.2018.00081 | 2018 International Conference on High Performance Computing & Simulation (HPCS) |
Keywords | Field | DocType |
mesh creation,laboratory experiments,numerical methods,high performance computing simulation,uninhabited air vehicle,aircraft wing design processes,mixed fidelity aerodynamics,automatic multidisciplinary design optimization,high-fidelity computational fluid dynamics,wing simulation,high aspect ratio wing,automatic aerodynamic optimization,shape design methodology,aero-structural optimization methods | Wing,Fidelity,Supercomputer,Computer science,Control engineering,Solid modeling,Computational fluid dynamics,Numerical analysis,Multidisciplinary design optimization,Aerodynamics | Conference |
ISBN | Citations | PageRank |
978-1-5386-7880-0 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengmeng Zhang | 1 | 115 | 24.91 |
| Tomas Melin | 2 | 0 | 0.34 |
| Jing Gong | 3 | 6 | 2.93 |
| Michaela Barth | 4 | 0 | 0.34 |
| L. Axner | 5 | 31 | 4.54 |