Hot strip mill mathematical models and set-up calculation

Yamada, Fumio; Sekiguchi, K.; Tsugeno, Masashi; Anbe, Yoshiharu; Andoh, Y.; Forse, C.; Guernier, M.; Coleman, T.

doi:10.1109/28.67544

Cited by 20 publications

(6 citation statements)

References 1 publication

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“…For the low carbon specimen of 1005 HR steel [7,8], the metallurgical data and parameters [9] were obtained from the standard ASM Metals Handbook and shown in Table 1. Figure 2 shows the variation of the strength coefficient (K) and Figure 3 the strain hardening coefficient (n) with respect to temperature in • C. The actual rolling of the steel slab [10] was carried out in a forward-reverse manner, cyclically, over 10 passes with successive thickness reductions and increases in roll speed, as shown in Table 2.…”

Section: Rolling Process Parametersmentioning

confidence: 99%

Hall-Sensor-Based Position Detection for Quick Reversal of Speed Control in a BLDC Motor Drive System for Industrial Applications

et al. 2020

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This paper proposes the novel idea of eliminating the front-end converters used indirect current (DC) bus voltage variation, thereby allowing for control of the speed of the brushless direct current (BLDC) motors in the two-quadrant operation of a permanent magnet brushless direct current (PMBLDC) motor, which is required for multiple bi-directional hot roughing steel rolling mills. The first phase of steel rolling, the manufacture of plates, strips etc., using hot slabs from the continuous casting stage, is carried out for thickness reduction, before the same is sent to the finishing mill for further mechanical processing. The hot roughing process involves applying high, compressive pressure, using a hydraulically operated mechanism, through a pair of backup rolls and work rolls for rolling. Overall, the processes consist of multiple passes of forward and reverse rolling at increasing roll speeds. The rolling process was modeled, taking into account parameters like roller dimensions, angle and length of contact, and rolling force, at various temperatures, using actual data obtained from a steel mill. From this data, speed and torque profiles at the motor shaft, covering the entire rolling process, were created. A profile-based feedback controller is proposed for setting the six-pulse inverter frequency and parameters of the pulse width modulated (PWM) waveform for current control, based on Hall sensor position, and the same is implemented for closed loop operation of the brushless direct current motor drive system. The performance enhancement of the two different controllers was also evaluated, during the rolling of 1005 hot rolled (HR) steel, and was taken into consideration in the research analysis. The entire process was simulated in the MATLAB/Simulink platform, and the results verify the suitability of an entire-drive system for industrial steel rolling applications.

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Section: Rolling Process Parametersmentioning

confidence: 99%

Hall-Sensor-Based Position Detection for Quick Reversal of Speed Control in a BLDC Motor Drive System for Industrial Applications

et al. 2020

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“…Although, it is faster and more effective in exploring a design space than the manual methods, this approach has received very little research interest for RSD problems. Yamada et al [84] developed an algorithm to optimize load distribution using mathematical models for set-up calculation. Lapovok and Thompson [12] formulated a mathematical geometrical problem for tool-form optimisation for roll pass design.…”

Section: Classical Algorithmic Optimisation Approachesmentioning

confidence: 99%

A review of rolling system design optimisation

Oduguwa

Roy

2006

International Journal of Machine Tools and Manufacture

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Rapid product development and efficient use of existing resources are key competitive drivers in the steel industry and it is imperative that solution strategies are capable of delivering high quality solutions at low cost. However, traditional search techniques for rolling system design (RSD) are ad hoc and users of them find it very difficult in satisfying the required commercial imperatives. This paper presents a comprehensive review of approaches for dealing with RSD problems over the years in terms of modelling and optimisation of both quantitative and qualitative aspects of the process. It critically analyses how such strategies contribute to developing timely low cost optimal solutions for the steel industry. The paper also explores the soft computing based technique as an emerging technology for a more structured RSD optimisation. The study has identified challenges posed by RSD for an algorithmic optimisation approach, especially for evolutionary computing based techniques.

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“…Many models used for automation of rolling mills are based on these forms (see, e.g. references [22–25]). Although the above models have been invaluable and served their purpose, unrelenting demand on mill performance and product quality require less dependence on empirical data and radical improvements to on‐line models, which must include all relevant rolling parameters if accurate predictions are to be achieved.…”

Section: On‐line Roll Gap Modelsmentioning

confidence: 99%

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

Yuen

2003

Scand Jof Metallurgy

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Rolling is an essential process for the production of plate, strip and foil. Parallel with automation of the rolling mills, there is an increasing demand for improved performance and accuracy of the rolling models for on‐line mill setup and control. This paper discusses recent advances on the development of rolling theories, particularly in non‐traditional rolling regimes, such as rolling of thin hard tin‐plate, temper rolling and foil rolling. Development and implementation of models based on these theories for real‐time applications are also described.

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Hot strip mill mathematical models and set-up calculation

Cited by 20 publications

References 1 publication

Hall-Sensor-Based Position Detection for Quick Reversal of Speed Control in a BLDC Motor Drive System for Industrial Applications

Hall-Sensor-Based Position Detection for Quick Reversal of Speed Control in a BLDC Motor Drive System for Industrial Applications

A review of rolling system design optimisation

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

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