Tata Steel has developed a method for detecting crack propagation in metallurgical furnace walls using dominant frequency parameters and phase analysis to eliminate noise signals. The innovative method accurately determines refractory lining conditions and alerts users of crack propagation. GlobalData’s report on Tata 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 Tata Steel, Extraction by leaching was a key innovation area identified from patents. Tata Steel's grant share as of May 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Method for detecting crack propagation in metallurgical furnace walls
A recently granted patent (Publication Number: US11994495B2) discloses a method for detecting crack propagation in the wall of a metallurgical furnace with multiple layers using a specialized detection unit. The method involves transmitting a stress signal into the wall, receiving reflected stress signals, extracting dominant frequency parameters, analyzing phases, and identifying crack propagation based on frequency relevant to the thickness parameter. The detection unit, equipped with a signal generating unit, processor, memory, and I/O interface, provides alerts upon detecting crack propagation, enabling timely maintenance and preventing potential hazards.
Furthermore, the patent includes details on the computation of thickness values, comparison of thickness values at different locations to determine crack propagation, modulation of reflected stress signals with reference signals for coefficient determination, and conversion of signals from time-domain to frequency-domain parameters. The detection unit's processor is designed to analyze dominant frequency parameters, identify phases, and select relevant frequencies based on the thickness parameter, ensuring accurate detection of crack propagation. By providing a comprehensive approach to monitoring the integrity of metallurgical furnace walls, this patented method offers a reliable solution for early detection and prevention of structural issues, enhancing operational safety and efficiency in industrial settings.
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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.
