Relativity Space. has filed a patent for methods and systems to print three-dimensional parts. The process involves receiving a digital model, partitioning it into slices and segments, customizing printing configurations, and generating instructions for printing. The patent claims 1-56 have been canceled. GlobalData’s report on Relativity Space 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 Relativity Space, Smart factory systems was a key innovation area identified from patents. Relativity Space's grant share as of January 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.

3d printing method with customizable printing configurations

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

The patent application (Publication Number: US20240033996A1) describes a method for printing a three-dimensional object using a digital model. The method involves partitioning the digital model into slices and segments, receiving user-specified printing parameters, determining the order of printing segments based on certain criteria, and generating printing instructions for a printer to create the object. The method aims to optimize the printing process by reducing heat generation, minimizing lifting, tool change, and material change operations during printing.

Additionally, the method includes selecting a fill pattern for the toolpath, such as a line, concentric pattern, directional line, overhang pattern, or hooked line. The sequence of printing segments is determined to enhance efficiency and reduce operational complexities for the printer. The method also involves a unique printing process where feedstock is melted and deposited layer by layer to form the three-dimensional object. Overall, the method outlined in the patent application aims to streamline the printing process, improve printing quality, and optimize resource utilization for creating three-dimensional objects.

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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.