An Inverse (Design) Problem Solution Method for the Blade Cascade Flow on Streamsurface of Revolution

1986 ◽  
Vol 108 (2) ◽  
pp. 194-199 ◽  
Author(s):  
Naixing Chen ◽  
Fengxian Zhang ◽  
Weihong Li

On the basis of the fundamental equations of aerothermodynamics a method for solving the inverse (design) problem of blade cascade flow on the blade-to-blade streamsurface of revolution is suggested in the present paper. For this kind of inverse problem the inlet and outlet flow angles, the aerothermodynamic parameters at the inlet, and the other constraint conditions are given. Two approaches are proposed in the present paper: the suction-pressure-surface alternative calculation method (SSAC) and the prescribed streamline method (PSLM). In the first method the metric tensor (blade channel width) is obtained by alternately fixing either the suction or pressure side and by revising the geometric form of the other side from one iteration to the next. The first step of the second method is to give the geometric form of one of the streamlines. The velocity distribution or the mass flow rate per unit area on that given streamline is estimated approximately by satisfying the blade thickness distribution requirement. The stream function in the blade cascade channel is calculated by assuming initial suction and pressure surfaces and solving the governing differential equations. Then, the distribution of metric tensor on the given streamline is specified by the stream function definition. It is evident that the square root of the metric tensor is a circumferential width of the blade cascade channel for the special nonorthogonal coordinate system adopted in the present paper. The iteration procedure for calculating the stream function is repeated until the convergence criterion of the metric tensor is reached. A comparison between the solutions with and without consideration of viscous effects is also made in the present paper.

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 74137-74144
Author(s):  
Xinjian Huang ◽  
Ziniu Li ◽  
Zhiyuan Liu ◽  
Bin Xiang ◽  
Yingsan Geng ◽  
...  

1987 ◽  
Vol 109 (4) ◽  
pp. 508-512 ◽  
Author(s):  
J. Z. Xu ◽  
W. Y. Ni ◽  
J. Y. Du

In order to develop the transonic stream function approach, in this paper one of the momentum equations is employed to form the principal equation of the stream function which does not contain vorticity and entropy terms, and the other one is used to calculate the density directly. Since the density is uniquely determined, the problem that the density is a double-valued function of mass flux in the stream function formulation disappears and the entropy increase across the shock is naturally included. The numerical results for the transonic cascade flow show that the shock obtained from the present method is slightly weaker and is placed farther downstream compared to the irrotational stream function calculation, and is closer to the experimental data. From a standpoint of computation the iterative procedure of this formulation is simple and the alternating use of two momentum equations makes the calculation more effective.


1998 ◽  
Vol 42 (02) ◽  
pp. 79-85
Author(s):  
Cheng-Hung Huang ◽  
Cheng-Chia Chiang ◽  
Shean-Kwang Chou

The technique of the inverse design problem for optimizing the shape of a bow from a specified pressure distribution is presented. This desired pressure distribution can be obtained by modifying the existing pressure distribution of the parent ship. The surface geometry of the ship is generated using the B-spine surface method which enables the shape of the hull to be completely specified using only a small number of parameters (i.e. control points). The technique of parameter estimation for the inverse problem is thus chosen. Results show that the accuracy of the final desired ship form depends on the number of polygons used in 6-spline surface fitting; only when enough polygons are used can the good final geometry that was calculated based on a given pressure distribution be obtained.


1999 ◽  
Vol 8 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Jun Li ◽  
Zhenping Feng ◽  
Hidetoshi Nishida ◽  
Nobuyuki Satofuka

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