Hydrodynamic process parameter calculation method based on double-flow neural network and application
A fluid dynamics and neural network technology, applied in the field of fluid dynamics process parameter calculation, to achieve the effect of sufficient mining of spatial structure feature information, rich features, and integrity assurance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0058] combine Figure 1-Figure 3 , which introduces the calculation method of fluid dynamics process based on two-stream neural network, including the following steps:
[0059] Step 1. Preprocess the data input into the fluid dynamics process parameter calculation model: create the Burgers equation, select an appropriate discrete format for discretization and calculate the true velocity value. specific:
[0060] First create the Burgers equation, and then use the fifth-order WENO format to calculate the Burgers equation to obtain the high-precision true velocity value of the Burgers equation as a baseline. For the WENO format, the following details:
[0061] The schematic diagram of the fifth-order WENO format is as follows image 3 As shown, the fifth-order WENO scheme is based on a six-point template S, which is divided into three subtemplates {S1, S2, S3}, with four nodes on each subtemplate. The steps are as follows: ①Determine the grid pedestal points: 6 pedestal poin...
Embodiment 2
[0116] This embodiment 2 provides an application of a fluid dynamics process calculation method based on a double-stream neural network, which is realized based on the fluid dynamics process calculation model of the present invention and the method described in embodiment 1, by inputting dynamic parameters into the fluid Calculation model of the dynamic process, the fluid dynamic field can be obtained by simulation, and the transient change of a certain space point can also be obtained.
Embodiment 3
[0118] This embodiment provides a specific application of a fluid dynamics process calculation method based on a double-stream neural network, which is used in aerospace. The velocity value and the finite difference coefficient in the Burgers equation are calculated by the method to determine the shape of the fluid, which is used for the wing Shape development and design. At present, the application of fluid mechanics in the field of aerospace has become more and more important, the most obvious of which is the manufacture of wing shape. There are various shapes of aircraft wings, among which the flat wing section is equivalent to the section of a kite, which generates lift by the angle of attack; the bird wing section is mostly used in early aircraft; the slightly flat wing section with an upper arch and a lower aerodynamic force is particularly good Lift is mostly used in subsonic aircraft and so on. The shape of the wing needs to be considered according to the shape of the...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com