Autodesk had four patents in 3D printing during Q4 2023. Autodesk Inc’s patents filed in Q4 2023 focus on computer aided design of physical structures using generative design processes. The methods involve obtaining load cases and design criteria for a modeled object, iteratively modifying the shape of the object based on the criteria and load cases, and providing the final shape for manufacturing using computer-controlled systems. The design criteria include factors such as shape change velocities and strength relationships between thickness of object features and build angles for additive manufacturing. Overall, the patents aim to optimize the design process for physical structures. GlobalData’s report on Autodesk gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Autodesk grant share with 3D printing as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Generative design shape optimization with singularities and disconnection prevention for computer aided design and manufacturing (Patent ID: US20230324882A1)

The patent filed by Autodesk Inc. relates to computer-aided design of physical structures using generative design processes. The method involves obtaining load cases and design criteria for a modeled object, iteratively modifying the three-dimensional shape of the object based on the criteria and load cases, and regulating shape change velocities for the implicit surface representation of the shape. The process aims to provide a three-dimensional shape suitable for manufacturing a physical structure using computer-controlled systems.

The claims associated with the patent detail the specific steps involved in the method, such as regulating shape change velocities using polynomial functions, adjusting shape changes based on excessive modifications, and penalizing stiffness during numerical simulation. The system described in the patent involves multiple computers operating cooperatively to obtain load cases, modify the shape of the object, and provide the final shape for manufacturing. The system also includes features like identifying elements within the implicit surface, adjusting target values for constraints, and using controllers to stabilize changes in shape derivative formulas. Overall, the patent outlines a comprehensive approach to generative design processes for creating physical structures efficiently and accurately.

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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.