Autodesk’s patented design engine uses constraint programming to quickly explore design spaces for mechanical assemblies, generating numerous feasible design options that meet set objectives. The computer-implemented method involves generating data structures, modifying parameters, and maximizing objective functions to create design options efficiently. GlobalData’s report on Autodesk gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Autodesk, AI assisted CAD was a key innovation area identified from patents. Autodesk's grant share as of April 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.
Computer-implemented method for generating design options for mechanical assemblies
A recently granted patent (Publication Number: US11966668B2) discloses a computer-implemented method for generating design options for mechanical assemblies. The method involves creating a data structure representing the assembly of elements and their couplings, modifying parameters based on an objective function, and generating design options that maximize the objective function. The data structure includes binary values arranged in rows and columns corresponding to different element types, with cells indicating couplings between elements. Constraints are applied to ensure the assembly does not violate specific conditions, such as limiting the number of couplings or requiring a minimum number of intermediate elements between two elements.
Furthermore, the patent covers the storage of instructions on computer-readable media and the use of a computer system with processors to execute the method. The system generates data structures representing assemblies, analyzes them based on constraints, and generates design options accordingly. The method allows for the creation of multiple design options by modifying parameters and ensuring they meet specified constraints. This innovative approach to generating design options for mechanical assemblies could streamline the design process, improve efficiency, and lead to the development of more optimized and functional mechanical systems.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
