JFE. has filed a patent for a method of detecting chattering in a cold rolling mill by predicting its occurrence during material rolling. The method involves inputting multidimensional data into a prediction model trained with rolling records and chattering occurrences. No specific claims are mentioned. 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.
Method of detecting chattering in cold rolling mill
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A recent patent application (Publication Number: US20240033797A1) outlines a method for detecting chattering in a cold rolling mill. The method involves predicting the occurrence of chattering during the rolling of a material by inputting multidimensional data into a prediction model. This data is generated based on condition data related to the material being rolled, and the prediction model is trained using explanatory and objective variables derived from past rolling records. The method includes adjusting rolling speed and changing the supply of rolling oil based on the predicted occurrence of chattering, aiming to improve the rolling process efficiency.
Furthermore, the patent application describes a chattering detecting device for a cold rolling mill that utilizes multidimensional data to predict chattering during the rolling process. The device is designed to enhance the efficiency and quality of the cold rolling process by proactively identifying and addressing potential issues such as chattering. Additionally, the application includes a cold rolling method and a cold rolling mill incorporating the chattering detecting device, as well as a method for manufacturing a steel sheet involving cold rolling and annealing processes. These innovations aim to optimize the cold rolling process and improve the quality of the final steel sheet product through predictive maintenance and control measures.
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