On‐line and off‐line models for the rolling process

Yuen, W. Y. D.

doi:10.1034/j.1600-0692.2003.20619.x

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…Published reviews on the roll-separation force and the torque can be found in [ 1 ] and more extensively in [ 2 ]. The main problem when solving the roll-separation force and the torque is to calculate the roll-pressure distribution along the angle on the roll, where the rolled steel is in contact.…”

Section: Introductionmentioning

confidence: 99%

Calculation of Deformation-Related Quantities in a Hot-Rolling Process

et al. 2023

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The hot deformation of metal as a nonlinear system is mathematically described by a local linear model associated with the working conditions using a transfer function (TF) in the Laplace domain. Experimental data (true stress vs. true strain curves) are obtained using the established compressive uniaxial deformation test, where experimental conditions (strain rate and temperature) define the working conditions of the local linear TF model, which is intrinsically a function of strain. Based on the TF model, three important physical quantities of the tested metal are determined exactly: the work done per unit deformation, the average flow stress, and the flow-stress derivative with respect to the strain based on a particular TF. The exactly determined quantities, determined as a function of strain, can replace the previously used approximations in some rolling force and torque calculations.

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Section: Introductionmentioning

confidence: 99%

Calculation of Deformation-Related Quantities in a Hot-Rolling Process

et al. 2023

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“…Temper rolling is an important rolling process with small reduction in thickness. In recent years, with the increasing demand for improved performance and accuracy of the rolling strip, a number of research work have been done on the temper rolling process [1][2][3][4][5][6][7][8][9]. Chandra and Dixit have studied the deformation field of temper rolling using rigid-plastic finite element method [1].…”

Section: Introductionmentioning

confidence: 99%

“…Zhong indicated that the temper rolling chatter is a self-excited vibration based on a series of tests, and its cause is the rolling interface where partial fluid lubrication and viscous-slip exist [3]. Yuen developed an on-line mill setup and control model used in foil rolling and temper rolling [4]. Larkiola and Myllykoski predicted the mechanical properties of steel strips and temper rolling force by using neural network modeling and measured process data [5].…”

Section: Introductionmentioning

confidence: 99%

A New Calculating Model of Rolling Pressure during Temper Rolling Process

Jiang

Bai

et al. 2010

KEM

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A set of new mathematical models have been developed to calculate the temper rolling force of 2050 strip temper rolling mill. Based on the fact of small plastic deformation and elastic deformation occurring on the entry and exit of the deformation zone, new stress boundary conditions are described. The inhomogeneous distribution of internal stress in thickness direction is taken into account in the models, instead of uniform internal stress and assumption of plane strain traditionally. The new mathematical models have been applied into the temper rolling of 2050 hot rolling mills with good results. Comparison of calculated values and testing values for nine typical products has been given. The result shows that the calculated value of rolling force of temper mill is accurate.

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“…Os modelos on-line são efetivamente utilizados na operação de plantas industriais, tanto na otimização do processo (cálculo de setups) como no controle em tempo real. Como 52 atesta Yuen (2003), é primordial que tais modelos, ainda que em prejuízo da acurácia, sejam caracterizados pela consistência e por uma formulação matemática eficiente, que permita que seus cálculos sejam realizados no exíguo tempo disponível. Além disso, os modelos on-line devem ser passíveis de inversão, para que sua adaptação possa ser eficientemente executada.…”

Section: Principais Categorias De Modelos Para a Laminação Planaunclassified

“…Segundo Yuen (2003), para que se obtenham produtos de alta qualidade, com a espessura objetivada e boa planicidade, é essencial uma estimativa precisa da força de laminação. Prover tal estimativa é um dos principais objetivos dos modelos de deformação.…”

Section: Premissas E Equações De Um Modelo De Deformaçãounclassified

Inteligência computacional aplicada à adaptação na modelagem matemática do processo de laminação a frio de aços planos.

Filho¹,

dos

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Inteligência Computacional (mais especificamente, Redes Neurais Artificiais) para tornar mais eficiente a adaptação de dois importantes parâmetros: o limite de escoamento do material e o coeficiente de atrito entre a tira e os cilindros de trabalho. O texto apresenta os fundamentos teóricos, a metodologia de desenvolvimento e a implantação da solução, bem como os resultados preliminares obtidos com a aplicação da proposta num laminador real. Finalmente, discutem-se esses resultados, apresentam-se as conclusões, sumarizam-se as contribuições da pesquisa e se sugerem futuras linhas de pesquisa para extensão dos resultados. Palavras-chave: Automação industrial. Laminação. Redes neurais. Inteligência artificial. ABSTRACT SANTOS FILHO, A. L. Computational intelligence applied to the adaptation of mathematical modeling in flat steel cold rolling process. 2009. 179 p. Tese (Doutorado) -Escola Politécnica, Universidade de São Paulo, 2009.Flat steel cold rolling is a complex industrial process, carried out into a very harsh environment, characterized by uncertain parameters, large delay times, multiple inputs and outputs, and having a strong interaction between the diverse variables (GUO, 2000). The control system of such a process obtains its setpoints from a mathematical model, responsible for process optimization. Given process peculiarity, the mathematical model must have adaptive features, that is, its parameters need to be continuously adjusted, on the basis of actual operational results. Adaptation is an essential characteristic for achieving product quality requirements and, as a consequence, for the plant feasibility itself. First of all, this work surveys the strategies commonly used in the development of cold rolling adaptive models, pointing out their strengths and deficiencies. Following to this, aiming at the minimization of such deficiencies and by this way improving the performance of the model, this work proposes the application of Computational Intelligence techniques (specifically Artificial Neural Networks) in order to bestow greater effectiveness to the adaptation of two important parameters, namely, the material flow stress and the friction coefficient between rolled strip and rolling cylinders. The text presents the theoretical foundations, the methodology and the implementation of the solution, as so the preliminary results after its application in a real steel mill plant. Finally, the text presents the conclusions, sums up the contributions of the research work and suggests further research to improve the results.

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On‐line and off‐line models for the rolling process

Cited by 8 publications

References 20 publications

Calculation of Deformation-Related Quantities in a Hot-Rolling Process

Calculation of Deformation-Related Quantities in a Hot-Rolling Process

A New Calculating Model of Rolling Pressure during Temper Rolling Process

Inteligência computacional aplicada à adaptação na modelagem matemática do processo de laminação a frio de aços planos.

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