Computer-Integrated Platform for Automatic, Flexible, and Optimal Multivariable Design of a Hot Strip Rolling Technology Using Advanced Multiphase Steels

Rauch,; Bzowski,; Kuziak,; Uranga,; Gutierrez, Bernardo; Isasti,; Jacolot,; Kitowski, Jacek

doi:10.3390/met9070737

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…An approach based on building virtual models of an object with a subsequent transfer of the debugged algorithm in the controller software is used to design mechatronic complexes of industrial units. This principle is also applied in virtual commissioning [47][48][49][50], diagnosing, and forecasting the technical condition of equipment [51]. The blocks' connection facilitates the resolution of the angular velocity signal integration provided two conditions are met simultaneously: the static load torque is equal to the idling torque (open gap), and the drive braking has started.…”

Section: Developing An Observermentioning

confidence: 99%

Section: Developing An Observermentioning

confidence: 99%

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Developing Digital Observer of Angular Gaps in Rolling Stand Mechatronic System

et al. 2022

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Algorithms for monitoring the rolling mill mechatronic system state should be developed on the basis of modern digital technologies. Developing digital shadows (observers) of system state parameters in the periodic measurement mode is promising. This study relevance is defined by frequent emergency breakdowns of rolling stand mechanical transmissions. Most breakdowns are caused by worn end clutches (heads) of countershafts (spindles) transmitting rotation from the motor to the rolls. This is caused by elastic oscillations due to closing angular gaps when the metal enters the stand. The spindle joint angular gap increases over time with the mill operation. Therefore, it is an important diagnostic parameter that allows for an estimation of the transmission serviceability. In this regard, the problem of monitoring the angular gaps in the rolling stand mechatronic systems is relevant. The paper considers developing an observer of angular gaps in the spindle joints of the ‘electric drive-stand’ mechatronic system of the plate Mill 5000 of Magnitogorsk Iron and Steel Works PJSC (MMK PJSC). The monitored signal (angular gap) is calculated with the mathematical processing of the motor’s physical parameters (speed and electromagnetic torque), measured at a given frequency. The gap is determined indirectly by integrating the speed during its closing. To achieve this, the speed is controlled according to the triangular tachogram at no load. The stand’s electromechanical system modes have been studied using mathematical simulation. The observer’s practical use expediency has been reasoned. The structure of the observer-based angular gap monitoring information system is given. The system has been full-scale tested on Mill 5000, which has confirmed the developed algorithm efficiency. The study’s contribution is a justified and implemented concept of a relatively simple technical solution that can be commercially implemented without extra costs. The angular gap calculation algorithm does not involve complex mathematical techniques and can be implemented in industrial rolling mill controllers. Monitoring is automated without human involvement, which eliminates the human factor. The solution has a specific practical focus and is recommended for implementation at operating rolling mills.

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Section: Developing An Observermentioning

confidence: 99%

Section: Developing An Observermentioning

confidence: 99%

Developing Digital Observer of Angular Gaps in Rolling Stand Mechatronic System

et al. 2022

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“…The usage of drones and others autonomous self-driving vehicles can lead to better planning and controlling of the internal transport orders. The result of this is an increase of the service and productivity level and a decrease of the costs of logistic processes [76,88].…”

Section: Drones and Others Self-driving Vehiclesmentioning

confidence: 99%

Digitalisation and Innovation in the Steel Industry in Poland—Selected Tools of ICT in an Analysis of Statistical Data and a Case Study

Gajdzik

Wolniak

2021

Energies

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Digital technologies enable companies to build cyber-physical systems (CPS) in Industry 4.0. In the increasingly popular concept of Industry 4.0, an important research topic is the application of digital technology in industry, and in particular in specific industry sectors. The aim of this paper is to present the tools used in the steel industry in Poland on its way to the full digitalisation that is needed for the development of Industry 4.0. The paper consists of two parts: a literature review and a practical analysis. The paper provides the background information about digitalisation using digital tools in the steel industry in Poland. The paper was prepared based on secondary information and statistical data. The object of the research is the Polish steel sector. This study assumes that digitalisation is the main area of innovation in the steel industry. The digitalisation determines the creation of new or modified products, processes, techniques and expansion of the company’s infrastructure; therefore, the data on digital technology were supplemented with data on the innovativeness of the Polish steel sector. The results of this study provide managers with valuable information to understand the importance of full digitalisation and the need to focus on digital strategies. Such insights can be used to improve companies’ processing capabilities and produce better products, which is key to innovation.

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“…The rolling process parameters are given in (Rauch et al, 2019). The following entry parameters for the laminar cooling were assumes: strip velocity 7 m/s, strip thickness 4 mm and end of rolling temperature 910 o C. The laminar cooling system was composed of two sections with 40 water boxes in each section and with 20 m distance between the sections (Pietrzyk et al, 2014;Rauch et al, 2019). The coiling temperatures (CT) between 450 o C and 650 o C were considered.…”

Section: Laminar Cooling and Coiling Processesmentioning

confidence: 99%

Fast model for phase transformations during cooling of pre-annealed multiphase steels

Szeliga¹,

Kuziak²,

Pidvysotskyy³

et al. 2019

cmms

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A thorough experimental and numerical analysis of phase transformations in a selected high strength steel was the general objective of the paper. Dilatometric tests were performed for a wide range of cooling rates. Two models based on a mean field approach were considered. The first was an upgrade of the Johnson-Mehl-Avrami-Kolmogorov equation. The second model was based on the Leblond equation. Both models were identified using inverse analysis of the experimental data. Simulations of various cooling schedules were performed to validate the models. Phase compositions for these cooling schedules were determined. Following this the effect of elements' segregation during solidification of steel on the occurrence of marteniste/bainite bands was accounted for using the developed models.

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Computer-Integrated Platform for Automatic, Flexible, and Optimal Multivariable Design of a Hot Strip Rolling Technology Using Advanced Multiphase Steels

Cited by 9 publications

References 20 publications

Developing Digital Observer of Angular Gaps in Rolling Stand Mechatronic System

Developing Digital Observer of Angular Gaps in Rolling Stand Mechatronic System

Digitalisation and Innovation in the Steel Industry in Poland—Selected Tools of ICT in an Analysis of Statistical Data and a Case Study

Fast model for phase transformations during cooling of pre-annealed multiphase steels

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