Improving the Hydrodynamic Performance of Diffuser Vanes via Shape Optimization

Goel, Tushar; Dorney, Daniel J.; Haftka, Raphael T.; Shyy, Wei

doi:10.2514/6.2007-5551

Cited by 9 publications

(11 citation statements)

References 20 publications

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“…• arc; • hyperbola; and • polynomial (Feng and Fu, 2000), Bessel curve (Arens et aL, 2005;Goel et aL, 2008), B-spine curve (Hoschek and Müller, 2000), NURBS (Ghaly and Mengistu, 2003). The NURBS has strong capability to express the free curve and free surface (Gervera and Trevelyan, 2005;Cori etal, 2007), and it is widely used in the design of the blade profile.…”

Section: The Parametered Design For the Fan Blade Profilementioning

confidence: 97%

The parametered modeling technology study for the civil aircraft engine fan blade

Zeng

Sun²

2012

Multidiscipline Modeling in Materials and Structures

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Purpose -The purpose of this paper is to introduce parametered modeling technology for the civil aircraft engine fan blade, to design the fan blade rapidly and accurately. Design/methodology/approach -The entire fan blade consists of three crucial parts: blade airfoil, tenon and airfoil root. Blade airfoil with a free surface feature is formed through the blade profiles from the hub to tip in the radial direction. The non-uniform rational basis spline (NURBS) is utilized to describe the blade profile. The geometry model of fan blade tenon is generated by extruding the sketch of the tenon. And the fillet section is designed to achieve the smooth transition of the up surface and the bottom surface of the blade root. Furthermore, the fan blade of a typical commercial engine is redesigned by the above method. Findings -The stress analysis of the fan blade shows that the fan blade model designed in this work is reasonable. Originality/value -The parametered fan blade model is presented on the basics of feature-based modeling technology.

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Section: The Parametered Design For the Fan Blade Profilementioning

confidence: 97%

The parametered modeling technology study for the civil aircraft engine fan blade

Zeng

Sun²

2012

Multidiscipline Modeling in Materials and Structures

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“…Since achieving a good surrogate model fit in a highdimensional design space can be difficult [11], this first step is done to check for any variables that could be immediately removed from consideration, thus reducing the problem dimensionality. It is found that in all cases within the facecentered design, the effect of the electronic conductivity is negligible even when varied between its minimum and maximum values.…”

Section: Design Of Experiments and Cross-validationmentioning

confidence: 99%

“…A radial-basis neural network model approximates the objective function as a linear combination of radial basis functions [11], also known as neuronŝ…”

Section: Radial-basis Neural Network (Rbnn)mentioning

confidence: 99%

Surrogate-based modeling and dimension reduction techniques for multi-scale mechanics problems

Shyy

Cho

et al. 2011

Acta Mech Sin

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Successful modeling and/or design of engineering systems often requires one to address the impact of multiple "design variables" on the prescribed outcome. There are often multiple, competing objectives based on which we assess the outcome of optimization. Since accurate, high fidelity models are typically time consuming and computationally expensive, comprehensive evaluations can be conducted only if an efficient framework is available. Furthermore, informed decisions of the model/hardware's overall performance rely on an adequate understanding of the global, not local, sensitivity of the individual design variables on the objectives. The surrogate-based approach, which involves approximating the objectives as continuous functions of design variables from limited data, offers a rational framework to reduce the number of important input variables, i.e., the dimension of a design or modeling space. In this paper, we review the fundamental issues that arise in surrogate-based analysis and optimization, highlighting concepts, methods, techniques, as well as modeling implications for mechanics problems. To aid the discussions of the issues involved, we summarize recent efforts in investigating cryogenic cavitating flows, active flow control based on dielectric barrier discharge concepts, and lithium (Li)-ion batteries. It is also stressed that many multi-scale mechanics problems can naturally benefit from the surrogate approach for "scale bridging."

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“…Several optimization procedures, based on genetic algorithms [11][12][13][14] or on surrogate methods [15,16], were also proposed. However, none of these procedures provide tools for generalizing the performance prediction to different design parameters or constraints.…”

Section: Introductionmentioning

confidence: 99%

A procedure for the design of radial cascade diffusers based on the maximum ratio between flow deflection and total pressure loss coefficient

Pavesi

Cavazzini

Rossetti

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part A:

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A design procedure of radial cascade diffusers for incompressible flow, based on the maximum ratio between the flow deflection and the total pressure loss coefficient, is proposed. To achieve such a result, numerical investigations were carried out on several different diffusers at design and off-design operating conditions. Four space chord ratios, with seven blades and nine outlet flow angles were considered. For each diffuser, the optimum performance parameters were correlated to the incoming flow angle and the design variables of the aerofoil cascade. Reynolds number and mean camberline influence were also analysed. Design charts were then produced in order to attain an efficient preliminary design of aerodynamic diffusers without resorting to time-consuming approaches. Finally, auxiliary charts were proposed for predicting the diffuser performance at off-design operating conditions

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Improving the Hydrodynamic Performance of Diffuser Vanes via Shape Optimization

Cited by 9 publications

References 20 publications

The parametered modeling technology study for the civil aircraft engine fan blade

The parametered modeling technology study for the civil aircraft engine fan blade

Surrogate-based modeling and dimension reduction techniques for multi-scale mechanics problems

A procedure for the design of radial cascade diffusers based on the maximum ratio between flow deflection and total pressure loss coefficient

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