Computational Elements for High-fidelity Aerodynamic Analysis and Design Optimisation

2010 ◽  
Vol 60 (6) ◽  
pp. 628-638 ◽  
Author(s):  
Chongam Kim Chongam Kim
Keyword(s):  
High Fidelity ◽  
Design Optimisation ◽  
Analysis And Design ◽  
Aerodynamic Analysis

Fully Parametric High-Fidelity CFD Model for the Design Optimisation of the Cyclic Stagger Pattern of a Set of Fan Outlet Guide Vanes

2009 ◽  
Author(s):  
Andrea Milli ◽  
Olivier Bron
Keyword(s):  
Complex Geometry ◽  
Single Point ◽  
Sensitivity Study ◽  
Operating Conditions ◽  
High Fidelity ◽  
Cfd Model ◽  
Design Optimisation ◽  
Guide Vanes ◽  
High Loss ◽  
Design Variables

The present paper deals with the redesign of cyclic variation of a set of fan outlet guide vanes by means of high-fidelity full-annulus CFD. The necessity for the aerodynamic redesign originated from a change to the original project requirement, when the customer requested an increase in specific thrust above the original engine specification. The main objectives of this paper are: 1) make use of 3D CFD simulations to accurately model the flow field and identify high-loss regions; 2) elaborate an effective optimisation strategy using engineering judgement in order to define realistic objectives, constraints and design variables; 3) emphasise the importance of parametric geometry modelling and meshing for automatic design optimisation of complex turbomachinery configurations; 4) illustrate that the combination of advanced optimisation algorithms and aerodynamic expertise can lead to successful optimisations of complex turbomachinery components within practical time and costs constrains. The current design optimisation exercise was carried out using an in-house set of software tools to mesh, resolve, analyse and optimise turbomachinery components by means of Reynolds-averaged Navier-Stokes simulations. The original configuration was analysed using the 3D CFD model and thereafter assessed against experimental data and flow visualisations. The main objective of this phase was to acquire a deep insight of the aerodynamics and the loss mechanisms. This was important to appropriately limit the design scope and to drive the optimisation in the desirable direction with a limited number of design variables. A mesh sensitivity study was performed in order to minimise computational costs. Partially converged CFD solutions with restart and response surface models were used to speed up the optimisation loop. Finally, the single-point optimised circumferential stagger pattern was manually adjusted to increase the robustness of the design at other flight operating conditions. Overall, the optimisation resulted in a major loss reduction and increased operating range. Most important, it provided the project with an alternative and improved design within the time schedule requested and demonstrated that CFD tools can be used effectively not only for the analysis but also to provide new design solutions as a matter of routine even for very complex geometry configurations.

Dynamic analysis and design optimisation of the seat belt pretensioner

2010 ◽  
Vol 48 (1) ◽  
pp. 65-78 ◽  
Author(s):  
Sung Pil Jung ◽  
Tae Won Park ◽  
Chan Seung Park
Keyword(s):  
Dynamic Analysis ◽  
Seat Belt ◽  
Design Optimisation ◽  
Analysis And Design

Thermodynamic analysis and design optimisation of a cross flow air to air membrane enthalpy exchanger

Energy ◽  
2020 ◽  
Vol 202 ◽  
pp. 117691 ◽  
Author(s):  
Ahmed K. Albdoor ◽  
Zhenjun Ma ◽  
Paul Cooper ◽  
Haoshan Ren ◽  
Fatimah Al-Ghazzawi
Keyword(s):  
Thermodynamic Analysis ◽  
Cross Flow ◽  
Design Optimisation ◽  
Analysis And Design

Applications of Polynomial Chaos-Based Cokriging to Simulation-Based Analysis and Design Under Uncertainty

2020 ◽  
Author(s):  
Jethro Nagawkar ◽  
Leifur Leifsson
Keyword(s):  
Robust Design ◽  
Ultrasonic Testing ◽  
Polynomial Chaos ◽  
Robust Design Optimization ◽  
High Fidelity ◽  
Analysis And Design ◽  
Simulation Based ◽  
The Mean ◽  
Design Case ◽  
Global Accuracy

Abstract This paper demonstrates the use of the polynomial chaos-based Cokriging (PC-Cokriging) on various simulation-based problems, namely an analytical borehole function, an ultrasonic testing (UT) case and a robust design optimization of an airfoil case. This metamodel is compared to Kriging, polynomial chaos expansion (PCE), polynomial chaos-based Kriging (PC-Kriging) and Cokriging. The PC-Cokriging model is a multi-variate variant of PC-Kriging and its construction is similar to Cokriging. For the borehole function, the PC-Cokriging requires only three high-fidelity samples to accurately capture the global accuracy of the function. For the UT case, it requires 20 points. Sensitivity analysis is performed for the UT case showing that the F-number has negligible effect on the output response. For the robust design case, a 75 and 31 drag count reduction is reported on the mean and standard deviation of the drag coefficient, respectively, when compared to the baseline shape.

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