Computational design of S-Duct intakes for distributed propulsion

Furlan, Fabio; Chiereghin, Nicola; Kipouros, Timoleon; Benini, Ernesto; Savill, A. M.

doi:10.1108/aeat-04-2014-0046

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…In [22] a similar optimization was performed on a S-Duct with rectangular cross-section. The best solutions in terms of CP reduction show values smaller than 0.05.…”

Section: Results From the Optimization Processmentioning

confidence: 99%

Computational Design Optimization for S-Ducts

D’Ambros

Kipouros

Zachos

et al. 2018

Designs

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In this work, we investigate the computational design of a typical S-Duct that is found in the literature. We model the design problem as a shape optimization study. The design parameters describe the 3D geometrical changes to the shape of the S-Duct and we assess the improvements to the aerodynamic behavior by considering two objective functions: the pressure losses and the swirl. The geometry management is controlled with the Free-Form Deformation (FFD) technique, the analysis of the flow is performed using steady-state computational fluid dynamics (CFD), and the exploration of the design space is achieved using the heuristic optimization algorithm Tabu Search (MOTS). The results reveal potential improvements by 14% with respect to the pressure losses and by 71% with respect to the swirl of the flow. These findings exceed by a large margin the optimality level that was achieved by other approaches in the literature. Further investigation of a range of optimum geometries is performed and reported with a detailed discussion.

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“…In [22] a similar optimization was performed on a S-Duct with rectangular cross-section. The best solutions in terms of CP reduction show values smaller than 0.05.…”

Section: Results From the Optimization Processmentioning

confidence: 99%

Computational Design Optimization for S-Ducts

D’Ambros

Kipouros

Zachos

et al. 2018

Designs

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“…non-metamodel assisted) optimization studies are still present in recent elaborations. Furlan et al (2014) introduced modifications to the geometry of S-shaped duct for an aircraft propulsion system using a multi-objective optimization tool based on genetic algorithm. 7 The duct geometry was parametrized with use of Bézier control points.…”

Section: Introductionmentioning

confidence: 99%

“…Furlan et al (2014) introduced modifications to the geometry of S-shaped duct for an aircraft propulsion system using a multi-objective optimization tool based on genetic algorithm. 7 The duct geometry was parametrized with use of Bézier control points. A significant reduction of the total pressure loss was reported.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective surrogate model-based optimization of a small aircraft engine air-intake duct

Drężek

Kubacki

Żółtak

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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Aviation industry is constantly striving for more efficient design processes in respect to optimal time, human and computational resources utilization. This implies a need for application of an approximation techniques enabling for fast responses generation with maintained level of results quality. This study focuses on an advancement of aerodynamic shape optimization process of a small aircraft engine intake system by introduction of a surrogate modelling step into the design loop. The multi-objective metamodel assisted optimization is carried out in order to reduce pressure losses along the engine intake duct and increase flow homogeneity at the engine compressor intake plane. Latin Hypercube Design method is utilized in order to sample the design space. A set of initial objective function evaluations is generated with application of Reynolds-averaged Navier–Stokes solver. The ensemble of samples is further used to train a Kriging-based surrogate model. The Efficient Global Optimization algorithm basing on the Expected Improvement function is employed to gradually increase the metamodel prediction quality by usage of sequential sampling technique. Finally, the optimal point predicted by the Kriging surrogate is validated against the high-fidelity model with usage of the Computational Fluid Dynamics code. The paper presents an application of the abovementioned methodology to the design process of the I-31T aircraft turboprop engine intake system. Proposed Kriging-based optimization workflow is utilized in order to reduce pressure losses and improve flow homogeneity in the engine air-intake duct.

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“…While the tests demonstrated a substantial reduction of flow distortion and losses, the installation of flow control devices introduces complexity and cost in the design of the S-Duct. Other studies, mostly numerical, focused in proper optimization of the shape of the S-Duct [17,18,19]. The optimization studies focused mostly on steady-state total pressure distortion.…”

Section: Introductionmentioning

confidence: 99%

Shape Optimization of a Curved Duct with Free Form Deformations

Chiereghin

Guglielmi

Savill

et al. 2017

23rd AIAA Computational Fluid Dynamics Conference

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The Free Form Deformation method was applied to an S-duct geometry to reduce total pressure losses and flow distortion. The deformation method was coupled with a multiobjective genetic algorithm to optimize the shape of a diffusing S-duct, which was numerically and experimentally investigated in previous works. During the optimization process, 200 deformed shapes were tested with steady-state CFD simulations and the performances were evaluated both in terms of total pressure losses and swirl angle at the outlet. It was obtained a Pareto front with a maximum total pressure losses reduction of 20% and a maximum swirl reduction of 10%. The two extreme points of the Pareto front were further investigated by unsteady Detached Eddy Simulations to assess also the impact of the optimization on the flow instability. Surprisingly, one of the solutions showed stable and stationary vortical structures. This is in strong contrast with the previous investigations of the flow field time history of the baseline configuration, which outlined strong oscillations of the flow field combined with a high increase of the distortion parameters in comparison with the time-averaged flow field.

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Computational design of S-Duct intakes for distributed propulsion

Cited by 7 publications

References 9 publications

Computational Design Optimization for S-Ducts

Computational Design Optimization for S-Ducts

Multi-objective surrogate model-based optimization of a small aircraft engine air-intake duct

Shape Optimization of a Curved Duct with Free Form Deformations

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