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Hengshui, China

Li R.-M.,Yanshan University | Li R.-M.,Hengshui Strip Rolling Co. | Yang L.-P.,Yanshan University | Yu B.-Q.,Yanshan University | And 2 more authors.
Kang T'ieh/Iron and Steel | Year: 2013

Considering the weight of shape detection roll and the strip tension, using a sine wave or a spline curve to virtual zero deviation of each channel, the dynamic zero compensation model was established based on the cut-off point method for deflection changes of the shape detection roll. For offline zero deviation by the shape detection roll's mass, the virtual sine cut-off point method was designed to compensate the offline zero deviation. For the online zero deviation by the dynamic high tension, the zero deviation was fitted by the spline curve to do it. Zero deviation fitting curve was subtracted from the measured curves, then more stable radial pressure value or the shape value can be obtained. In the application process, the recursive smoothing method can be used to make it more reliable for reflecting the actual shape condition of online strip. The measured datum show that the original waveform AD zero deviations of each channel reduces from 600 to within 50 after compensation, and the radial pressure decreases from 130N to 10N. So the zero compensation method has a great significance to improve the shape detection accuracy and shape close-loop control accuracy. Source

Yang L.-P.,Yanshan University | Yu B.-Q.,Yanshan University | Yu H.-X.,Yanshan University | Du C.-Z.,Hengshui Strip Rolling Co.
Journal of Iron and Steel Research International | Year: 2014

Quantitative level evaluation of cold-rolled strip was significant for the shape control and the product structure optimization. Based on the probability statistics method and the shape pattern recognition method, the shape evaluation model of cold-rolled strip was established to evaluate real-time shape of the online strip. The model was embedded in the shape control system, and the online strip shape state was real-time observed whether to meet the technical indicators, so the shape level could be identified and evaluated. Based on the shape evaluation indicators, the shape component could be well controlled to improve the shape hit rate and the control stability, so that the rolled strip shape could meet the technical requirements. At a 1050 cold strip mill, the shape data of the scene typical specifications strip were online collected and real-time evaluated, and the hit of macro shape in less than 8 I was 68.44%, indicating that the mill shape control had considerable room for improvement, as well as the evaluation method was feasible and practical for quantitative evaluation of the strip shape. So the new evaluation model has important guiding significance to increase value-added and reduce product quality objection. © 2014 Central Iron and Steel Research Institute. Source

Yang L.,Yanshan University | Yu B.,Yanshan University | Li R.,Yanshan University | Li R.,Hengshui Strip Rolling Co. | And 2 more authors.
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2014

Point to the unusual problems in the detection process, for example of the channel failure and not continuous transverse shape signal, the shape detection error and the abnormal signal compensation model are established based on the principle of contactless shape detection, piezomagnetic sensor and its electromagnetic characteristics. Comprehensive theoretical models and test datum, the effects of technological factors on the original shape signal, such as the zero remaining voltage signal, the strip edge error, the detection roll deflection and its installation accuracy and so on, are analyzed to solve instability problem of the original shape signal. For example of 1050 cold rolling mill, according to the mill model configuration and the rolling parameters, the start and the end channel numbers, the edge error compensation amount, the deflection change and the logical installation accuracies of the shape detection roll could be online calculated by the model to meet requirements of the online shape control, and appropriate emergency measures are advanced to prevent serious mistakenly regulation accident of mill caused by abnormal signal, and to achieve stable carefree rolling and improve the shape detection precision and the shape control precision. © 2014 Journal of Mechanical Engineering. Source

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