Techniques for generative design using multi-disciplinary optimization
AssigneeAutodesk, Inc.
InventorsHyunmin CHEONG, Mehran EBRAHIMI, Adrian BUTSCHER, Hesam SALEHIPOUR
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AssigneeAutodesk, Inc.
InventorsHyunmin CHEONG, Mehran EBRAHIMI, Adrian BUTSCHER, Hesam SALEHIPOUR
Estimating the term…
In various embodiments, a generative design application can leverage multi-disciplinary optimization to solve a design problem associated with a 3D model and interdependent design variables. The generative design application includes an optimization engine that can solve the design problem, or portions thereof, by iteratively performing optimization techniques on the interdependent design variables to generate an 3D model that maximizes or minimizes one or more objectives and meets one or more constraints, while simultaneously considering the effect of each interdependency of the design variables. Furthermore, the generative design application can leverage a natural language interface to augment the creation of the design problem for optimization. The generative design application can also leverage free-form deformation during generative design to parameterize a portion of the 3D model as part of the design problem.
A computer-implemented method for generating designs using a natural language interface coupled to a language model, the method comprising:
One or more non-transitory computer-readable media including instructions that, when executed by one or more processors, cause the one or more processors to generate optimized designs using a natural language interface coupled to language model by performing the steps of:
A system comprising:
Dependencies are inferred from the claim text.