2003
DOI: 10.1016/s1270-9638(02)00010-x
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Improved aerodynamic design of turbomachinery bladings by numerical optimization

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Cited by 23 publications
(15 citation statements)
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“…For example, the application of a gradient-based method in one hand, and a genetic algorithm in the other hand, on the optimization of a 2.5D section of compressor blade of an aircraft engine, shows that the genetic algorithm requires around 10 times more CFD computations. Because of this too high CPU time required, a local gradient-based method is chosen [4].…”
Section: Conmin Optimizermentioning
confidence: 99%
See 2 more Smart Citations
“…For example, the application of a gradient-based method in one hand, and a genetic algorithm in the other hand, on the optimization of a 2.5D section of compressor blade of an aircraft engine, shows that the genetic algorithm requires around 10 times more CFD computations. Because of this too high CPU time required, a local gradient-based method is chosen [4].…”
Section: Conmin Optimizermentioning
confidence: 99%
“…In the present optimization procedure, Bézier curves [3] have been used to define the blade shape geometry. These curves are well adapted to the shape design in aeronautics and are mainly used in aerodynamics optimization procedures [4]. In this case, the design variables are the control points of the Bézier curves.…”
Section: Design Variablesmentioning
confidence: 99%
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“…Jang et al [41] optimized the blade sweep in a transonic axial compressor rotor (NASA rotor 47) using a response surface method and a three-dimensional Navier-Stokes analysis to increase its efficiency. Burguburu et al [8,9] presented an optimization method based on a quasi three-dimensional Navier-Stokes analysis. They employed the conjugate-gradient method (and a genetic algorithm for verification [8]) to find the optimum of a cost function, which was based on efficiency.…”
Section: Literature Overviewmentioning
confidence: 99%
“…Burguburu et al [8,9] presented an optimization method based on a quasi three-dimensional Navier-Stokes analysis. They employed the conjugate-gradient method (and a genetic algorithm for verification [8]) to find the optimum of a cost function, which was based on efficiency. They applied their method to the design of both compressor rotor blades and turbine stator blades.…”
Section: Literature Overviewmentioning
confidence: 99%