Online Shape Dynamic Wrapping Angle Compensation Model of Cold Strip

Quick Recognition and Elimination of an Additional Signal Caused by Deflection of an Integral Roller Flatness Meter

“…Haimiao Wu et al [22][23][24] analysed the temperature field of the integral detection roller and derived a sensor reliability evaluation model. Yang Lipo et al 25,26) established the cold-rolled strip online dynamic wrapping angle compensation model and a high-precision flatness detection model which consists of wide channels in the middle of a detection roller and narrow channels on both sides to analyse the problem of flatness detection errors. Bingqiang Yu et al 27) analysed the influences of the measuring error of the strip edges, the transverse temperature difference of the strip, the deflection of the flatness detection roller, and the shape of the strip coil on the flatness measuring results in detail, and established the corresponding compensation models.…”

Detection and evaluation mechanism of cold rolling strip edge shape

“…When the strip is covered on the surface of shape detection roll, the strip tension is transformed into the radial force of detecting roll [11]. In the actual production process, there are many factors that affect the strip shape, at the same time, the edge shape problem, which leads to the larger shape deviation between the online detection shape curve and the actual shape state, is often neglected [12][13][14][15][16]. Because of the variety of strip width, the number of shape detection channel covered by the strip often changes in most cases.…”

“…In order to improve detection performance and control precision of strip edge waves, in addition to some essential mechanism modelling and computational analysis, two different width detection units must be designed for the central and the edge of detection roll respectively, narrow channels for both edges of strip, wide channels for the central region of strip, to improve the detection accuracy of strip edge shape. In addition, in the actual measurement and control process, it is often found that different strips drift inevitably towards the left or right (misalignment phenomenon) in the rolling process, which must impact the detection effect of strip edge shape to some extent and even cause serious shape detection errors inconsistent with actual strip shape [11][12][13][14][15][16].…”

Reliability Evaluation and Robust Design of a Sensor in an Entire Roller-Embedded Shapemeter

“…The influence of sensor reliability on the shape detection signal has rarely been investigated. Yang et al [ 4 , 5 , 6 ] determined the influence of zero residual voltage and the shapemeter roll deflection on the sensor work reliability. However, the influence of the sensor reliability, resulting from the sensor size parameters induced by the temperature and tension of the strip, remains unexplored.…”