Efficient sensitivity analysis for generative parametric design of dynamic mechanical assemblies
US11620418B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2018 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Apr 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A design engine generates a configuration option that includes a specific arrangement of interconnected mechanical elements adhering to one or more design constraints. Each element within a given configuration option is defined by a set of design variables. The design engine implements a parametric optimizer to optimize the set of design variables associated with each configuration option. For a given configuration option, the parametric optimizer discretizes continuous equations governing the physical dynamics of the configuration. The parametric optimizer then determines the gradient of an objective function based on the discretized equations the gradient of objective and constraint functions based on discrete direct differentiation method or discrete adjoint variable method derived directly from the discretized motion equations. Then, the parametric optimizer traverses a design space where the configuration option resides to reduce improve the objective function, thereby optimizing the design variables.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.