Toshiba had three patents in 3D printing during Q1 2024. Toshiba Corp filed a patent for a metal powder designed for 3D printing, containing metal particles with a particle size distribution peak between 1 µm to 200 µm. The distribution ensures a difference of 10 µm or more between D90 and D10, representing volume proportions at 90% and 10% respectively. GlobalData’s report on Toshiba gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Toshiba had no grants in 3D printing as a theme in Q1 2024.
Recent Patents
Application: Metal powder for 3d printer, shaped article, and method for manufacturing shaped article (Patent ID: US20240082909A1)
The patent filed by Toshiba Corp. describes a method for manufacturing a metal powder for 3D printers, involving the preparation of first metal particles with high sphericity and second metal particles with lower sphericity, which are then mixed to form a particle size distribution with a peak between 1 µm to 200 µm. The difference between D90 and D10 in the particle size distribution is at least 10 µm, with the particles containing specific elements like tungsten, molybdenum, and others.
Furthermore, the method specifies the mass ratio of metal particles, the maximum diameter of the first metal particles, and the ratio of bulk density to true density of the metal powder. The patent also includes details on the manufacturing process of the metal particles, the shape and surface characteristics of the particles, and the repose angle of the mixed metal particles. Additionally, the patent covers the use of the metal powder in 3D printing to create various structures like fins, lattices, plates, columns, and more, with a minimum density requirement for the final molded products. The method also allows for the formation of multiple moldings with a specified average density.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
