ThyssenKrupp has patented a non-oriented electrical steel strip with specific composition and electrical resistance for use in electric motors and generators. The strip has precise percentages of Si, Al, Mn, P, S, N, C, Ti, Cr, and other elements, ensuring optimal performance in various applications. GlobalData’s report on ThyssenKrupp 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 ThyssenKrupp, Hydrogen fuel cells was a key innovation area identified from patents. ThyssenKrupp's grant share as of March 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
A recently granted patent (Publication Number: US11970757B2) discloses a non-oriented electrical steel strip or sheet with specific compositions and properties. The steel strip or sheet, in a cold rolled and annealed condition with a thickness of 0.255-0.310 mm, contains precise percentages of elements such as Si, Al, Mn, P, S, N, C, Ti, Cr, and others, with a specific electrical resistance at 50° C. falling within the range of 0.62 to 0.65 µOm. Additionally, the loss values of the steel strip or sheet at different polarizations and frequencies are specified, ensuring high performance in electrical applications.
Furthermore, the patent includes a detailed process for producing the non-oriented electrical steel strip or sheet, involving specific steps such as cold rolling, final heat treatment, and cooling in a nonoxidizing atmosphere. The process is designed to achieve the desired properties of the steel strip or sheet, including specific magnetic characteristics at different modulation levels. The patent also covers the use of the steel strip or sheet in components for electrical applications, particularly as an iron core in rotating electrical machines like electric motors or generators. Overall, the patent provides a comprehensive guide for manufacturing and utilizing non-oriented electrical steel with tailored properties for efficient electrical 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.
