2003
DOI: 10.1080/1068276031000086778
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Optimal Geometric Representation of Turbomachinery Cascades Using Nurbs

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Cited by 26 publications
(15 citation statements)
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“…In addition to Bezier curves, B-splines [16] and NURBScurves [17,18] are applied in the representation of camber lines of the profiles of compressor blades. All the listed curves are characterized by the following feature.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…In addition to Bezier curves, B-splines [16] and NURBScurves [17,18] are applied in the representation of camber lines of the profiles of compressor blades. All the listed curves are characterized by the following feature.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Beside the Bezier curves, rational parametric curves [20] and NURBS curves [21] are used to represent contours of the turbine blade profiles.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…It should be noted that the rational parametric curves used in [20] are in fact a separate case of NURBS curves. The approach proposed in [21] for modeling the suction and the pressure side of the blade profile of an axial turbomachine based on NURBS curves also assumes presence of control vertices. In addition, NURBS curves apply weight coefficients that also influence the modeled curve in some way.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…They instead used b-splines as a tool to fine-tune the design of the blade. Ghaly and Mengistu [ 5 ] used Non-Uniform Rational B-Splines (NURBS) to optimize an existing turbine airfoil design in 2D—NURBS are similar to B-splines except their control points each have a weight. Their parameterization showed that NURBS required fewer points to parameterize a compressor airfoil [ 6 ], as opposed to a turbine blade [ 7 ] due to the increased curvature of the suction side.…”
Section: Introductionmentioning
confidence: 99%
“…A popular strategy is the use of differential evolution, a subset of the evolution algorithms, originally developed by Price and Storn [ 16 ]. Authors such as Ghaly and Mengistu [ 5 ], Shelton [ 4 ], Hasenjäger [ 8 ], and Sousa [ 14 ] used a single objective optimizer. Ghaly and Mengistu opted for simulated annealing compared to Shelton who adopted a combination of hill climb and genetic algorithms.…”
Section: Introductionmentioning
confidence: 99%