Shape optimisation of technical devices via gradient descent using convolutional neural network proxies
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.
59982331
Alternative title(s) : (fr) Optimisation de forme de dispositifs techniques par descente du gradient Ć l'aide de mandataires de rĆ©seaux neuronaux Ć convolution
TTO:6.1764
Patent number | Country code | Kind code | Date issued |
US11768983 | US | B2 | 2023-09-26 |
US2021157962 | US | A1 | 2021-05-27 |
EP3679495 | EP | A1 | 2020-07-15 |
CN111295657 | CN | A | 2020-06-16 |
WO2019048085 | WO | A1 | 2019-03-14 |