公开(公告)号：US20240070349A1

公开(公告)日：2024-02-29

申请号：US17823274

申请日：2022-08-30

Applicant: Dassault Systèmes Americas Corp.

Inventor： Michael Joseph Doyle ,  Abhijit Chattopadhyay

IPC: G06F30/27

CPC classification number: G06F30/27 ,  G06F2119/02

Abstract: A computer-implemented method and corresponding system perform generative design of an energy storage device. The method automatically builds at least one model of the energy storage device. The building is based on a design parameter space and employs a machine learning process. The method automatically performs a simulation of the energy storage device using the design parameter space, a design evaluation space, and the at least one model built. The performing produces at least one prediction. The method automatically evolves at least one of (i) the design parameter space and (ii) the design evaluation space. In an event the at least one prediction indicates that a product design objective or model design objective has been achieved, the method automatically converges on the design parameter space evolved, thereby completing a generative design of the energy storage device and, otherwise, repeats the building, performing, and evolving.

公开(公告)号：US20230244833A1

公开(公告)日：2023-08-03

申请号：US17587214

申请日：2022-01-28

Applicant: Dassault Systèmes Americas Corp.

Inventor： Pierre Yves Mechin ,  Michael Joseph Doyle

IPC: G06F30/27 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06F30/27 ,  G06V10/764 ,  G06V10/82 ,  G06F2111/20

Abstract: A computer-implemented method and corresponding computer-based system generate a three-dimensional (3D) multi-scale model of a 3D system. The computer-implemented method generates, at a given scale, an artifact model that indicates properties, characteristics, and artifacts of the 3D system. The computer-implemented method modifies a series of representational models of the 3D system based on the artifact model generated. Modifying the series includes mapping the properties, characteristics, and artifacts to a representational model in the series of representational models at a higher scale or lower scale relative to the given scale. The mapping bridges a given representational model of the series of representational models at the given scale and the representational model at the higher scale or lower scale. The computer-implemented method automatically stores, in a database, the artifact model in association with the series of representational models modified, thereby generating the 3D multi-scale model of the 3D system.