ANSYS has patented machine-assisted systems and methods for meshing periodic patterns in physical structures for simulations. The technology involves generating radial cut lines, identifying master regions, and creating adaptive base meshes to accurately represent the periodic pattern in simulations. GlobalData’s report on ANSYS gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on ANSYS, Capillary blood collection devices was a key innovation area identified from patents. ANSYS's grant share as of May 2024 was 43%. Grant share is based on the ratio of number of grants to total number of patents.

Meshing a periodic pattern of a physical structure in simulation

Source: United States Patent and Trademark Office (USPTO). Credit: ANSYS Inc

A recently granted patent (Publication Number: US12001760B2) discloses a method stored on a non-transitory machine-readable medium that enables a data processing system to generate complex mesh structures for physical structures with periodic patterns. The method involves creating radial cut lines from an axis of rotation, identifying a master region based on geometry intersections, and generating adaptive base meshes. The process includes partitioning the mesh into interior and fringe regions, rotating portions, and assembling them to create a matching boundary mesh representing the periodic pattern accurately.

Furthermore, the patent describes a method for generating non-planar boundaries within the mesh structure, allowing for more accurate representation of physical structures in simulations. The generated mesh can be duplicated to create conformal meshes, maintaining matching boundary conditions between patterns. The method also includes the exclusion of certain regions from being meshed and partitioning the mesh into multiple regions. By freezing boundary meshes and partitioning the mesh into different portions, the method ensures the creation of an arbitrary matching boundary mesh that accurately represents the geometry's repetitive patterns, enhancing the efficiency and accuracy of simulations and design processes for complex physical structures.

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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.