Supercritical airfoil profile generation method and device, electronic equipment and storage medium
A supercritical and airfoil technology, applied in the aerospace field, can solve the problems of not being able to fully guarantee the smoothness of the airfoil, time-consuming, etc., and achieve the effects of reducing manual dependence, improving smoothness, and reducing the number of wind tunnel tests
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Embodiment 1
[0030] Figure 1a This is a flow chart of a method for generating a supercritical airfoil provided in Embodiment 1 of the present invention. This embodiment can be applied to the situation of optimizing an existing aircraft airfoil to generate a new airfoil. type generation device, the device can be implemented by software and / or hardware, and the device can be integrated in electronic equipment such as a computer, such as Figure 1a As shown, the method specifically includes:
[0031] Step 110: Acquire the airfoil image, the CST parameters corresponding to the airfoil image, the flow field image, and the grid point information corresponding to the flow field image according to the reference airfoil, as training samples.
[0032] Among them, the reference airfoil can be used as a design reference for the supercritical airfoil. The airfoil image may be an image containing an aircraft airfoil, wherein the aircraft airfoil may be a supercritical airfoil. The flow field image may...
Embodiment 2
[0057] Figure 2a This is a flow chart of a method for generating a supercritical airfoil provided in the second embodiment of the present invention. This embodiment is a further refinement of the above technical solution, and the technical solution in this embodiment may be combined with each optional solution in one or more of the above embodiments. like Figure 2a As shown, the method includes:
[0058] Step 210 , using the CST parameterization method to obtain the CST parameters of the airfoil image.
[0059] Step 220: Acquire a flow field image including a plurality of grids corresponding to the airfoil image, wherein the grid of the flow field image includes grid point information.
[0060] In an optional implementation manner of the embodiment of the present invention, the grid point information includes the following information: abscissa, ordinate, flow velocity, normal velocity, and pressure.
[0061] Step 230: Use the airfoil image obtained from the reference ai...
Embodiment 3
[0081] image 3 It is a schematic structural diagram of a supercritical airfoil generating device provided in the third embodiment of the present invention. combine image 3 , the device includes: a training sample generation module 310 , a condition determination module 320 and a target supercritical airfoil acquisition module 330 . in:
[0082] The training sample generation module 310 is used to obtain the airfoil image, the class shape function transformation CST parameter corresponding to the airfoil image, the flow field image, and the grid point information corresponding to the flow field image according to the reference airfoil, as a training sample;
[0083] The condition determination module 320 is used to determine the experimental condition and performance evaluation of the supercritical airfoil, which are respectively used as the control condition and the optimization target of the conditional generative adversarial network model;
[0084] The target supercriti...
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