Nippon Steel has been granted a patent for a steel material with specific chemical composition and microstructure. The material must contain certain elements within defined ranges and meet specific formulas. The microstructure should have a minimum area fraction of ferrite and pearlite, with a limited proportion of V content in electrolytic extraction residue. GlobalData’s report on Nippon Steel 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 Nippon Steel, Vehicle camshaft manufacturing was a key innovation area identified from patents. Nippon Steel's grant share as of March 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.
Steel material with specific chemical composition and microstructure
A recently granted patent (Publication Number: US11965231B2) discloses a steel material with a specific chemical composition, including elements such as carbon, silicon, manganese, phosphorus, sulfur, chromium, molybdenum, vanadium, aluminum, nitrogen, oxygen, copper, nickel, boron, niobium, titanium, and calcium. The steel material must meet certain criteria outlined in Formula (1) to Formula (4), with a microstructure comprising a total area fraction of ferrite and pearlite of 10.0% or more, and the remaining balance being bainite. Additionally, the proportion of V content in electrolytic extraction residue to the V content in the chemical composition should not exceed 10.0%.
Furthermore, the patent claims specify that the steel material may contain elements such as copper, nickel, boron, niobium, and titanium within certain specified ranges. For example, copper may be present in the range of 0.01 to 0.20%, while nickel may be present in the range of 0.01 to 0.20%. Additionally, the Ca content in the steel material is limited to 0.0001 to 0.0010%. These specific compositions and proportions aim to enhance the properties and performance of the steel material for various applications in industries such as manufacturing, construction, and automotive, among others.
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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.
