Abstract
In the cold rolling of stainless steels on a Sendzimir mill, the shape of strip is very important for guaranteeing the quality of rolled products, the stabilization of operation, the maintenance of operational safety, etc. As products of a wide variety of kinds and sizes, including non-magnetic materials, are rolled at high tension, there had not been any appropriate means of shape detection. So most operations were performed, relying largely upon operator's empirical control practices.
“Batting test”is such a practice in which the edge of strip is struck with an oak stick and the extent of edge elongation and the strip shape are determined from the sound and feeling of batting. For quantitative translation of such practices, studies were repeated using various parameters. These efforts culminated in the development of a sensor employing the vibration frequency of strip which rcflects the actual strip shape in the most reliable manner.
According with this theory, the Frequency Analyzing Shape Detection System is constructed by a batting device and a signal processing device.
The former causes the vibration to the strip and the later analyses the vibration signal and calculates the fatness index by use of two spectrum analyzers and two micro-computers.
As a result of adopting the latest signal processing technology, this detection system provides a detection accuracy within 0.19% at steepness, and have being used successfully in Hikari Works, Nippon Steel Corporation.
