JFE has been granted a patent for an iron-based alloy sintered body with a tensile strength of 800 MPa or more, excellent machinability, and specific chemical composition. The microstructure includes a Vickers hardness range of 300-900 Hv and an average pore circularity of 0.30 or more. GlobalData’s report on JFE 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 JFE, Polymer electrolyte fuel cells was a key innovation area identified from patents. JFE's grant share as of January 2024 was 38%. Grant share is based on the ratio of number of grants to total number of patents.

High-strength iron-based alloy sintered body with good machinability

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

A recently granted patent (Publication Number: US11884996B2) discloses an iron-based alloy sintered body with specific chemical composition requirements. The alloy must contain Cu in the range of 1.8% to 10.2%, Mo up to 2.0%, and C between 0.2% to 1.2%, with the balance being Fe and impurities. The microstructure of the sintered body should have an average Vickers hardness of 300 Hv to 900 Hv and an average pore circularity of 0.30 or more. Additionally, the density of the sintered body should be 6.6 Mg/m3 or higher.

Moreover, the patent also covers an iron-based mixed powder for powder metallurgy, which includes a pre-alloyed steel powder, Cu powder, and graphite powder. The chemical composition of the mixed powder must meet specific criteria, including the content of Cu, Mo, and C. The Cu powder should be present in an amount of 0.3% or more. The pre-alloyed steel powder should have a mean particle size ranging from 30 µm to 120 µm. Furthermore, the mixed powder may also include a lubricant to aid in the powder metallurgy process. Overall, the patent outlines detailed specifications for the composition and characteristics of iron-based alloy sintered bodies and mixed powders for powder metallurgy applications.

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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.