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On the 3-D inverse potential target pressure problem. Part 1. Theoretical aspects and method formulation

Published online by Cambridge University Press:  26 April 2006

P. Chaviaropoulos
Affiliation:
National Technical University of Athens, Laboratory of Thermal Turbomachines, PO Box 64069, 157 10 Athens, Greece
V. Dedoussis
Affiliation:
National Technical University of Athens, Laboratory of Thermal Turbomachines, PO Box 64069, 157 10 Athens, Greece Department of Industrial Management, University of Piraeus, 185 34 Piraeus, Greece
K. D. Papailiou
Affiliation:
National Technical University of Athens, Laboratory of Thermal Turbomachines, PO Box 64069, 157 10 Athens, Greece

Abstract

An inverse potential methodology is introduced for the solution of the fully 3-D target pressure problem. The method is based on a potential function/stream function formulation, where the physical space is mapped onto a computational one via a body-fitted coordinate transformation. A potential function and two stream vectors are used as the independent natural coordinates, whilst the velocity magnitude, the aspect ratio and the skew angle of the elementary streamtube cross-section are assumed to be the dependent ones. A novel procedure based on differential geometry and generalized tensor analysis arguments is employed to formulate the method. The governing differential equations are derived by requiring the curvature tensor of the flat 3-D physical Eucledian space, expressed in terms of the curvilinear natural coordinates, to be zero. The resulting equations are discussed and investigated with particular emphasis on the existence and uniqueness of their solution. The general 3-D inverse potential problem, with ‘target pressure’ boundary conditions only, seems to be illposed accepting multiple solutions. This multiplicity is alleviated by considering elementary streamtubes with orthogonal cross-sections. The assumption of orthogonal stream surfaces reduces the number of dependent variables by one, simplifying the governing equations to an elliptic p.d.e. for the velocity magnitude and to a second-order o.d.e. for the streamtube aspect ratio. The solution of these two equations provides the flow field. Geometry is determined independently by integrating Frenet equations along the natural coordinate lines, after the flow field has been calculated. The numerical implementation as well as validation test cases for the proposed inverse methodology are presented in the companion paper (Paper 2).

Type
Research Article
Copyright
© 1995 Cambridge University Press

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