Design optimization of vaned diffusers for centrifugal compressors using genetic algorithms

Benini, Ernesto; Tourlidakis, A.

doi:10.2514/6.2001-2583

Cited by 20 publications

(13 citation statements)

References 6 publications

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“…k − ω (SST) model consists of a transformation of the k − e model in the outer region to a k − ω formulation near the surface by a blending function F1. Equations (10,11) are k and ω equations of the model, respectively. In this model, eddy-viscosity formulation by a limiter is used to consider the transport of the turbulent shear stress.…”

Section: Flow Solvermentioning

confidence: 99%

“…These blade design methods can be applied for improving the aerodynamic and heattransfer performance of turbomachinery cascades, leading to perform airfoils with in very little iteration. Many studies in the turbomachinery field (Sonoda et al [6], Shahpar and Radford [7], Kammerer et al [8], Buche et al [9], Benini and Tourlidakis [10], Bonaiuti and Pediroda [11]) have tried to exploit the time-saving potential of such a strategy and to integrate it into their design systems. Samad and Kim [12] performed a multi-objective optimization of an axial compressor rotor blade through genetic algorithm with total pressure and adiabatic efficiency as objective functions.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Level Multi-Objective Multi-Point Optimization System for Axial Flow Compressor 2D Blade Design

Fathi

Shadaram

2013

Arab J Sci Eng

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This paper introduces a multi-level framework to perform a multi-objective multi-point aerodynamic optimization of the axial compressor blade. This framework results in a considerable speed-up of the design process by reducing both the design parameters and the computational effort. To reduce the computational effort, optimization procedure is working on two levels of sophistication. Fast but approximate prediction methods has been used to find a near-optimum geometry at the firs-level, which is then further verified and refined by a more accurate but expensive Navier-Stokes solver. Surface curvature optimization was carried out in a first-level as a meta-function. Genetic algorithm and gradient-based optimization were used to optimize the parameters of first-level and second-level, respectively. This procedure considers both the aerodynamic and mechanical constraints. An initial blade has been optimized with three different design targets to highlight the ability of the design method and to develop design know-how. Leading-edge shape and curvature distributions of pressure and suction surface had major effects on the design philosophies of the blades. The result shows about −22.5 % reductions in pressure-loss coefficient at design condition and 23.6 % improvement in the allowable incidence-angle range at offdesign conditions compared to the initial blade.

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Section: Flow Solvermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Level Multi-Objective Multi-Point Optimization System for Axial Flow Compressor 2D Blade Design

Fathi

Shadaram

2013

Arab J Sci Eng

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“…Ashimara studied the performance of pump impeller by inverse problem method and combining gradient optimal method with exploratory technique [12]. Wahabi W. et al used multi-objective genetic algorithm and the CFD for optimization of impeller's guide blade [13,14]. Lei Z. and Chunlin W. et al carried out optimization design on fire pump and centrifugal impeller blades based on the theory of experimental design and response surface approximate methods [15,16].…”

Section: Introductionmentioning

confidence: 99%

Parameters matching analysis of the stator and rotor for downhole asymmetric turbine generator

Zhang¹,

Lu²,

Li³

2016

J. vibroeng.

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Abstract. To improve the power generation efficiency, the parameters matching analysis method for the downhole generator with asymmetric turbine is established on basis of the experimental design theory, response surface methodology and orthogonal experimental design. Firstly, according to the theoretical analysis, the computational domain model is built by the three-dimensional modeling software. Based on the calculation results by Computational Fluid Dynamics (CFD), the blade parameters of stator and rotor which affect the objective function a lot are screened out by the single-factor experimental design. Then, to get the optimal design results, these parameters are analyzed and determined by the Box-Behnken design and response surface methodology. Once the approximation model of objective function is constructed, the interplay between these parameters is discussed in this paper. Furthermore, the secondary factors are analyzed to obtain the more reasonable matching by orthogonal experimental method. Finally, the experimental study is conducted on the optimal design point of the new asymmetric turbine. The results show that CFD simulations are in good accordance with the calculations based on response surface method. The relative error of experimental value is smaller compared with the predictive value, and the trends of performance curves are almost the same. What's more, the efficiency of new asymmetric turbine increases by 10 % after optimizing matching. It declares that the design method based on Box-Behnken and the orthogonal design experiments can be used in the matching analysis of asymmetric turbine's parameters. The research in this paper provides reliable guidance in turbine blade design and technological parameters optimizing.

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“…This fact has recently encouraged some researchers to study the flow inside diffusers (without the impeller effect) using computational fluid dynamics (CFD) [13,14], and to develop methodologies to optimize diffuser performance. Regarding the latter, Benini and Tourlidakis [15] used a Pareto genetic algorithm and CFD to optimize the shape of a channel diffuser. Zangeneh et al [16] used a 3D inverse design technique to improve the pressure recovery of a vaned diffuser for a given impeller.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical analyses to enhance the performance of a microturbine diffuser

Benini

Toffolo

Lazzaretto

2006

Experimental Thermal and Fluid Science

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Design optimization of vaned diffusers for centrifugal compressors using genetic algorithms

Cited by 20 publications

References 6 publications

Multi-Level Multi-Objective Multi-Point Optimization System for Axial Flow Compressor 2D Blade Design

Multi-Level Multi-Objective Multi-Point Optimization System for Axial Flow Compressor 2D Blade Design

Parameters matching analysis of the stator and rotor for downhole asymmetric turbine generator

Experimental and numerical analyses to enhance the performance of a microturbine diffuser

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