Strip Deviation Research Articles

Temporal online self-learning stochastic configuration networks: A study on strip deviation prediction

Stochastic configuration networks (SCNs), with the rapid learning abilities and universal approximation properties, have garnered growing interest in the industrial domain in recent years. In the hot rolling process, strip deviation affects product quality and production safety. In this paper, a novel model named temporal online self-learning stochastic configuration networks (TOSL-SCNs) designed for early prediction of strip deviation in the hot rolling process is introduced. To address the challenges of time series prediction, conventional SCNs are extended to a two-dimensional format, enabling effective processing of time series data. Given the dynamic nature of industrial environments, the model incorporates an online self-learning capability to adapt to nonstationary data. Additionally, to ensure the stability of the model’s predictive performance, a data buffer strategy is introduced to dynamically refresh the training dataset. This paper demonstrates the capabilities of TOSL-SCNs in time series modeling, online self-learning, and data buffer strategy from multiple perspectives. The case study on strip deviation prediction highlights the necessity of these capabilities in industrial applications.

Online deviation measurement system of the strip in the finishing process based on machine vision

In the production of hot rolling, the deviation of the strip in the finishing process has always been a technical problem that plagues enterprises. However, there is currently no effective measurement method for the deviation of the strip in the finishing process. To this end, this paper proposed a non-contact strip deviation online measurement scheme based on machine vision technology and image detection. On the one hand, the principle of deviation measurement of binocular line scan camera and the error compensation model was established. On the other hand, a new calibration principle of binocular line scan camera was established, corresponding to the measurement principle. Finally, the real-time deviation of the strip was calculated. The field experiment showed that the strip deviation measurement system in this paper has high measurement precision and could be well adapted to the changing of the strip height.

Artificial bee colony algorithm based PID controller for steel stripe deviation control system.

To improve the performance of the PID controller for a steel strip deviation control system (SSDCS), an enhanced artificial bee colony algorithm (EABC) is proposed to optimize PID controller gains (EABC-PID). The proposed EABC changes the candidate solution equation to balance its explorative and exploitative capabilities. The experiment presents a detailed comparison of EABC-PID and four bio-inspired algorithms based PID controllers considering four types of objective functions. Simulation results show that EABC-PID proves to be superior for SSDCS compared to four bio-inspired algorithms based PID controller in terms of convergence, dynamic adjustment, and robustness.

Modelling and simulation of strip running deviation in continuous annealing process

ABSTRACT To address the problem of strip running deviation in continuous annealing process (CAP), the paper analysed the mechanism of strip running deviation from the point of stress state of strip on the tapered part under the rotation state of furnace roller, established a mechanical model of strip deviation, and the concept of deviation index representing the trend of strip deviation was put forward, the calculation scheme of strip deviation was introduced. Then, the theoretical model was verified by finite element software (MSC.Marc), the results show that the calculated results of two methods are basically the same, and the error between theoretical calculation and finite element simulation is less than 15%. Field application show that the attenuation model fully satisfies the precision requirements of engineering application, greatly improving production efficiency and effectively reducing the maintenance costs of the equipment.

Tension compensation technique based on the roughness attenuation of a furnace roller during continuous annealing

ABSTRACTStrip tension fluctuation caused by the attenuation of a furnace roller’s surface roughness leads to strip deviation in continuous annealing. After several field experiments and theoretical studies, this work established a model for the surface roughness attenuation of a furnace roller during continuous annealing. The model is fully integrated with the equipment and process features of a continuous annealing unit. With the stability of strip travelling as the control object and the absence of strip deviation and buckling as constraints, a tension compensation technique of continuous annealing was developed, and a related theory was applied to production and practise. Software was also developed for predicting the roughness attenuation of a furnace roller during continuous annealing and determining tension compensation for a specific process of the unit. Integrated optimisation of tension parameters in all processes of continuous annealing was also achieved.

Comprehensive optimisation technology of roller profile in continuous annealing furnace

ABSTRACTSeveral problems, such as strip deviation and buckling, are encountered in the continuous annealing process. In this study, equipment and process features of continuous annealing, as well as the advantages and disadvantages of single taper roller and double taper roller in the prevention and treatment of the buckling and strip deviation were considered. Basing on a number of field experiments and theoretical studies, a new set of furnace roller profile curve was proposed and a set of optimisation model suitable for furnace roller was established, with travelling stability of the strip as the objective function. Test results of field production showed that the strip exhibited high speed and stability after optimisation, and the service cycle of the furnace roller was considerably improved. The results of this study provide an important economic benefit for the site and are valuable for further popularisation and application.

Comprehensive tension setting optimisation technique for a cold rolled strip during continuous annealing

ABSTRACTThe previous tension setting for the continuous annealing process (CAP) is not comprehensive; that is, it does not synthetically consider the factors of strip deviation, buckling, flatness and width narrowing. To address this issue, this study integrated the mechanical and technological characteristics of a continuous annealing line to present a comprehensive control index that can characterise the stability of a travelling strip. Meanwhile, strip deviation, buckling, strip shape and width narrowing were regarded as constraints in each process section. A comprehensive optimisation technique for the tension setting during CAP was then established, and a related theory was applied during production. In addition, a comprehensive tension setting optimisation software was developed for a cold rolled strip during continuous annealing, and the comprehensive optimisation of the tension parameters in each process section was realised. A practical implementation proves that the developed technique exhibits good application effects and considerable application values.

Detection and evaluation mechanism of cold rolling strip edge shape

ABSTRACTThe edge shape problem of strip has great influence on the shape control precision, so it is extremely necessary to establish the high-precision strip edge shape model. Based on the theoretical analysis and the practical engineering, a new high-precision shape detection model, which consists of wide channels in the middle of detection roll and narrow channels on both sides, is established to analyse the problem of strip edge shape. Instance data showed that the strip lateral thickness difference was directly related with the shape state of strip, and the strip edge coverage rate and the strip deviation amount had important influences on the shape detection precision, the pattern recognition accuracy and the shape control effect, so the strip edge shape model has become one of the key factors to improve industrial application effect of the shape closed-loop control system in the present situation.

Simulation of Taper Roll Deviation Rectification Ability in Continuous Annealing Furnace

Running deviation of cold strip affects smooth operation in continuous annealing furnace, and the taper roll technology has positive significance for the prevention of strip deviation. In this paper, a finite element model of cold strip in continuous annealing furnace is established, and it can be used to analysis deviation rectification ability of single taper roll with different conical height and straight section length, double taper roll with different total conical height, straight section length and taper ratio. The calculation results show that the conical height is the most important factor for deviation rectification, and the deviation rectification ability of double taper roll is better than single taper roll. The results provide reference for taper roll optimization design in continuous annealing furnace.

Cold Rolling Strip Off-Tracking Online Monitoring Method via Wireless Sensor Network with Self-Powered Nodes

The problem of off-tracking in looper area of a cold rolling strip production line is usually unavoidable especially when the looper carriage is located far away from the strip deviation detection device. The looper carriage itself is the best place for installing the detecting sensor. However, the wired monitoring system is not suitable because the carriage is moving and the power of common wireless monitoring system has to be recharged manually and frequently due to a high power consumption of the detecting sensor. A novel method of strip off-tracking online monitoring method via wireless sensor network with self-powered nodes is proposed, which is helpful to overcome the difficulties of the conventional methods. The energy of the wireless monitoring node was supplied by an electromagnetic induction generator driven by a devised transmission mechanism. An intelligent power-recharging control module including a single-ended primary-inductor converter was designed to charge the lead acid battery using a floating charging strategy. A selective space diversity scheme for receiving node in the wireless sensor network was put forward to resist path loss and fading in industrial environment. Theoretical analysis and experiment results have proved the feasibility of the proposed method.

Deviation Prevention Ability of Rollers in Continuous Annealing Furnace and Application

In order to reduce the strip deviation in the practical production procedure in the continuous annealing furnace, a dynamic simulation model was built through finite element method (FEM) to conduct the quantification calculation of the effect of regular roller contour types on strip deviation. The result reveals that comparing to the flat roller, forward roller contour can prevent the strip deviation to some degree. In terms of prevention ability, double-taper roller is the strongest, single-taper roller and crown roller are less stronger; and more roller contour values raise the prevention ability. Accordingly, optimization method was applied to continuous annealing furnace, and it largely reduced accidents such as strip break and limited speed that are caused by the deviation.

Application of PID Control Based on RBF Neural Network in Electro-Hydraulic Servo System for Steel Strip Deviation

The working principle of the electrical-hydraulic servo system for steel strip deviation is introduced. The mathematical model of the system is established, and the performance indexes in time domain are analyzed with MATLAB. Aiming at the steel strip deviation, an improved PID control method based on RBF neural network is proposed. According to Jacobian information identification of RBF neural network combined with incremental PID algorithm, the self-tuning of parameters is implemented so that the performance of the system can achieve the designed requirements. Compared with traditional PID control, the simulation results show RBF- PID control has better dynamic performance and stabilization.