Transonic, Shock, and Multidimensional Flows 1982
DOI: 10.1016/b978-0-12-493280-7.50006-1
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Computational Fluid Dynamics of Airfoils and Wings

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Cited by 9 publications
(3 citation statements)
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“…In his pioneering contribution Lighthill (1945) solved the problem for incompressible potential flow past a body by conformally mapping it to a unit circle. Similar approaches were used by McFadden (1979) and Garabedian & McFadden (1982) for two-and three-dimensional compressible flow. An alternative formulation of the potential flow design problem is to convert the specified pressure distribution into a corresponding surface speed that can be integrated to obtain the surface potential.…”
Section: Introductionmentioning
confidence: 97%
“…In his pioneering contribution Lighthill (1945) solved the problem for incompressible potential flow past a body by conformally mapping it to a unit circle. Similar approaches were used by McFadden (1979) and Garabedian & McFadden (1982) for two-and three-dimensional compressible flow. An alternative formulation of the potential flow design problem is to convert the specified pressure distribution into a corresponding surface speed that can be integrated to obtain the surface potential.…”
Section: Introductionmentioning
confidence: 97%
“…The flexible membrane method, which is an iterative mathematically based inverse design technique, was initially introduced by Garabedian and McFadden [30,31] as GM method. Then, Malone et al [32][33][34] developed this method to the MGM (Malone-Garabedian-McFadden) method.…”
Section: Introductionmentioning
confidence: 99%
“…It allows the recovery of smooth profiles that generate flows containing shock waves, and it has been used to design improved blade sections for propellers (Taverna, 1983). A related method for three-dimensional design was devised by Garabedian and McFadden (1982). In their scheme the steady potential flow solution is obtained by solving an artificial time-dependent equation, and the surface is treated as a free boundary.…”
Section: Automatic Design Optimizationmentioning
confidence: 99%