Invention Grant
- Patent Title: Efficient sensitivity analysis for generative parametric design of dynamic mechanical assemblies
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Application No.: US15924138Application Date: 2018-03-16
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Publication No.: US11620418B2Publication Date: 2023-04-04
- Inventor: Mehran Ebrahimi , Adrian Butscher , Hyunmin Cheong , Francesco Iorio
- Applicant: AUTODESK, INC.
- Applicant Address: US CA San Francisco
- Assignee: AUTODESK, INC.
- Current Assignee: AUTODESK, INC.
- Current Assignee Address: US CA San Francisco
- Agency: Artegis Law Group, LLP
- Main IPC: G06F111/10
- IPC: G06F111/10 ; G06F30/17

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.
Public/Granted literature
- US20190286786A1 EFFICIENT SENSITIVITY ANALYSIS FOR GENERATIVE PARAMETRIC DESIGN OF DYNAMIC MECHANICAL ASSEMBLIES Public/Granted day:2019-09-19
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