Shape optimisation of technical devices via gradient descent using convolutional neural network proxies
US11768983B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 5, 2018 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Aug 7, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T90/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention generally relates to a method, a system and a computer program for shape optimisation of a technical device adapted to be exposed to a fluid flowing around a contour of said device with respect to its fluid dynamic parameters. In order to provide an improved method for shape optimisation of a technical device with respect to its fluid dynamic parameters which is faster, a method is provided comprising discretizing the shape of the technical device into a plurality of points along the contour of the technical device or into a surface mesh, and inputting the plurality of points or the surface mesh into a Convolutional Neural Network (CNN) for computing a prediction of the at least one fluid dynamic parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.