Rolling Technology and Theory for the Last 100 Years: The Contribution of Theory to Innovation in Strip Rolling Technology

Ataka, Matsuo

doi:10.2355/isijinternational.55.89

Cited by 55 publications

(41 citation statements)

References 44 publications

(38 reference statements)

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“…High quality continuous casting technology has become the most internationally competitive core technology in the modern steel industry [1][2][3][4]. Due to the complexity of the continuous casting process, there are many factors that can affect the quality of continuous casting.…”

Section: Motivationmentioning

confidence: 99%

Research and Application of a Rolling Gap Prediction Model in Continuous Casting

Lei

2019

Metals

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Control of the roll gap of the caster segment is one of the key parameters for ensuring the quality of a slab in continuous casting. In order to improve the precision and timeliness of the roll gap value control, we proposed a rolling gap value prediction (RGVP) method based on the continuous casting process parameters. The process parameters collected from the continuous casting production site were first dimension-reduced using principal component analysis (PCA); 15 process parameters were chosen for reduction. Second, a support vector machine (SVM) model using particle swarm optimization (PSO) was proposed to optimize the parameters and perform roll gap prediction. The experimental results and practical application of the models has indicated that the method proposed in this paper provides a new approach for the prediction of roll gap value.

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Section: Motivationmentioning

confidence: 99%

Research and Application of a Rolling Gap Prediction Model in Continuous Casting

Lei

2019

Metals

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“…Flatness control is an important key technology in cold rolling strip production and how to establish a simple, fast and stable control model is a very difficult scientific problem. [1][2][3][4][5][6] According to the flatness representation method, the flatness control model can be divided into two kinds. One is to represent the flatness by the flatness set of many points, and establish a mathematical model between the adjustment parameters of flatness and the flatness of each point according to the rolling deformation theory, which is called multi-point flatness control method.…”

Section: Introductionmentioning

confidence: 99%

Decoupling Strategy and Dynamic Decoupling Model of Flatness Control in Cold Rolling Strip

et al. 2020

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Taking a 1 420 mm UCM six-high cold rolling mill as the research object, by calculating and analyzing the relative gain array of flatness adjustments, the flatness control strategy of independent control primary flatness, decoupling control quadratic and quartic flatness is proposed, which simplifies the complex three-loop decoupling to the two-loop decoupling, and facilitates the design of flatness control system. In order to overcome the shortcomings of the long response time and the process fluctuation of the static matrix decoupling control, based on the multi-input and multi-output decoupling control theory, a method and model for the whole process decoupling of quadratic and quartic flatness control loops is proposed by introducing dynamic decoupling matrix instead of static decoupling matrix. The simulation results show that the dynamic matrix decoupling control method can make the system adjust quickly and smoothly, and by controlling the primary, quadratic and quartic flatness, the cubic flatness can also be controlled effectively. This paper opens up a new way and method for developing a simple, practical and high performance flatness control system.

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“…The continuous casting process is a complex and continuous phase change process. There are many factors that affect the quality of slabs [1]. The research of the key technologies and cores in the high quality steel continuous casting process is mainly focused on mold level precision, the segment, and secondary cooling dynamic control [2].…”

Section: Introductionmentioning

confidence: 99%

Mold Level Predict of Continuous Casting Using Hybrid EMD-SVR-GA Algorithm

Lei

2019

Processes

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The prediction of mold level is a basic and key problem of continuous casting production control. Many current techniques fail to predict the mold level because of mold level is non-linear, non-stationary and does not have a normal distribution. A hybrid model, based on empirical mode decomposition (EMD) and support vector regression (SVR), is proposed to solve the mold level in this paper. Firstly, the EMD algorithm, with adaptive decomposition, is used to decompose the original mold level signal to many intrinsic mode functions (IMFs). Then, the SVR model optimized by genetic algorithm (GA) is used to predict the IMFs and residual sequences. Finally, the equalization of the predict results is reconstructed to obtain the predict result. Several hybrid predicting methods such as EMD and autoregressive moving average model (ARMA), EMD and SVR, wavelet transform (WT) and ARMA, WT and SVR are discussed and compared in this paper. These methods are applied to mold level prediction, the experimental results show that the proposed hybrid method based on EMD and SVR is a powerful tool for solving complex time series prediction. In view of the excellent generalization ability of the EMD, it is believed that the hybrid algorithm of EMD and SVR is the best model for mold level predict among the six methods, providing a new idea for guiding continuous casting process improvement.

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Rolling Technology and Theory for the Last 100 Years: The Contribution of Theory to Innovation in Strip Rolling Technology

Cited by 55 publications

References 44 publications

Research and Application of a Rolling Gap Prediction Model in Continuous Casting

Research and Application of a Rolling Gap Prediction Model in Continuous Casting

Decoupling Strategy and Dynamic Decoupling Model of Flatness Control in Cold Rolling Strip

Mold Level Predict of Continuous Casting Using Hybrid EMD-SVR-GA Algorithm

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