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By Daniel Augusto Godinho de Carvalho

At thyssenkruppCSA, a positive heat balance at BOF process is faced, mainly because of low utilization of scrap and plant design. A singular logistic concept for hot metal transport between blast furnace and steel plant was established to optimize transportation and energy balance. Up to 80 kg of iron ore pellets/t steel is necessary for 340t BOF heat balance. In order to accomplish this challenge a stable blowing process, intensive operational development have been successfully executed: slopping rate reduction of 80% achieved without changing the blowing time. This paper describes steps and results of this development.

Oct 30, 2017

By Laurent Dorel, Sebastien Maillard, Afchine Nasserian, Jean-Paul Faure

Surface quality monitoring is primarily implemented in the last steps of steel manufacturing before shipment to the end user. However, an increasing trend for also addressing this topic in the upstream stages, such as hot rolling plant, is tackled by Primetals Technologies to give steel producers the key to a global optimized yield management, and efficient “lessons learned” processes. After the last developments of SIAS Next Gen platform, including High Resolution and Near Infra-Red, some site results will be exposed on the very specific high constraints lines such as ESP Endless Strip Production and Plate Mills, and highlights the related most interesting aspects for our customers.

Oct 1, 2019

By Michel Rodrigo Luiz, Glaucio Augusto Polini, Giardini F. Lazzarin

ArcelorMittal's pickling and cold rolling line has been demanded to increase production since the installation of equipments in 2015. In addition to the improvement in productivity related to these new equipment, one of them the automatic surface inspection system (SIAS), work has also been developed in other equipment seeking improvement of production indicators. The present article exposes the actions and gains that were achieved with actions on two equipments in the same section as the Side Trimmer. The first one deals with the optimization of time gains with sequencing adjustments without financial contribution, using only internal labor seeking reduction of unproductive times by adjustments of the side trimmer in the cold strip mill. The second item discussed demonstrates the actions and the gains generated due to the availability of new resources (installation of SIAS equipment), the optimization of these resources seeking a focus on the reduction of ruptures in the tandem cold mill, configuring the same in the aid of the identification of critical defects and also in the automatic speed reduction action of the tandem cold mill in defects considered serious. In both cases the intention was to improve production, seeking to improve the results of the section and the line.

Oct 1, 2019

By Andreas Cestonaro

Roll grade evolution in plate mill applications is traditionally following the development in hot strip mills. New grades normally find their way into service only after being successfully implemented in hot strip production. The majority of the plate mills worldwide are using work roll grades that have been invented before the 1980’s. But today the demands in the mills are pushed by sophisticated product mixes and longer rolling campaigns. The result of this development is a higher wear rate on the work rolls and as a consequence roll hardness is increased and advanced roll materials are used. The backup rolls are also affected by this. The wear rate is higher and the mechanical impact in terms of contact pressure and work hardening is increasing. This paper outlines the results of the roll grade development at Gontermann-Peipers and introduces new materials for work and backup rolls for plate mills.

Jul 30, 2018

By Bruno Alves Resende, Antonio Adel dos Santos

Temperature, microstructure and dimensions are the main material parameters to be controlled during hot rolling of steel. Although thermal mathematical models have long been developed and applied for hot strip rolling, each Hot Strip Mill (HSM) must have its own model adapted to its facilities. Thus, a mathematical model for temperature evolution during rough rolling has been developed for the Usiminas HSM at Ipatinga Plant. The model achieved a high level of accuracy, which was assessed by comparing measured values of temperature at the hot strip mill entry with the calculated ones, the difference ranging from 9°C to 17°C. Application examples have shown that the slab can be occasionally stopped before start of rolling for as long as a couple of minutes without compromising its further processing. On the other hand, if the transfer bar stops after rough rolling even for short time, further processing in the HSM can be hindered, due to excessive temperature drop. In case of such abnormal line stop, the model can be used as a tool for decision-making to either continuing the planned rolling schedule or to changing the route, thus improving the overall rolling process.

Oct 1, 2019

By Gabriel Andrade Medeiros, Christian Brugger, Paul Pennerstorfer, Daniel Fuchshuber, Reinhold Leitnerl

State-of-the-art automation technology enables digitalization of the continuous casting process that goes far beyond conventional automation of industrial production. Primetals Technologies provides a digital twin that combines an intelligent digital representation of a casting machine as well as the casting process and the slabs, blooms or billets that are produced. It allows metallurgists and process engineers to predict the behavior of the involved complex production process and optimize parameters before using them in real production. New steel grades or production processes can be evaluated off-line without any risks to process stability and product quality. Primetals Technologies installs the digital twin with every new installation of a continuous caster optimization system. This paper describes how the setup and simulation possibilities of the digital twin provide numerous benefits by modelling and simulating the casting process. It allows for example the calculation of material properties according to the actual composition, strand surface temperature profiles and dynamic soft reduction before the final point of solidification. An outstanding feature of the digital twin is the replay functionality provided for various models to analyze and further optimize real production situations. The paper also gives an example how usage of the digital twin optimized production at a customer.

Oct 1, 2019

By Uazir Bezerra de Oliveira, Günther Staudinger, Michael Skorianz, Edo Engel

Oct 1, 2019

By Luca Tommasi

Danieli complemented its wide range of production plants for the iron and steel industry with a further step upstream into iron ore pelletizing and beneficiation. Danieli has engineered and constructed a state of the art and fully automated pilot plant facility – pot grate and sinter box – at Altos Hornos de Mexico S.A. (AHMSA) Pelletizing Plant, Monclova, Mexico. Installation and commissioning were completed in October 2009. Key features of the pot grate include the avoidance of the need for operator intervention during the test, automatic system preheat, absence of dead time, heat recuperation system with an air/air heat exchanger, oxygen control in preheating and firing with zirconia oxygen analyzer, possibility to test deep beds up to 625 mm. A series of projects have been accomplished by AHMSA availing of the pot grate facility with the aim to enhance pellet plant productivity and to reduce operating costs. The results obtained by use of Danieli pot grate combined with the experience and skill of plant operators has shown significant technical and economical benefits thus fully justifying the initial investment made by AHMSA and confirming the importance of having an in-house testing facility in order to optimize industrial plant operations.

Aug 16, 2017

By Stefano Scubla

DANIELI Q-MELT is the latest evolution of EAF concept to automatically control each stage of the melting process, from the electric power planning to the combustion optimization as well as the slag and steel metallurgy management for every operation required in the EAF cycle. The core of the automation system is the Melt-Model that automatically identifies deviations of the process control variables and corrects them to avoid losses or wasting of available energy sources. The real-time online off-gas analysis, via the in-situ laser system, promotes the process tracking and permits further optimization by a viable closed-loop control acting on fuel and oxygen postcombustion. A suite of supplementary stand-alone Technological Packages integrates the Q-MELT to further maximize the productive time and the utilization factor, supporting the operators to limit downtimes, avoiding misoperations and/or mistakes.

Aug 16, 2017

By Jose Maria Rodriguez-Ibabe, Ronaldo Antonio Neves Marques Barbosa, Douglas Glenn Stalheim

Major costs in the production of both flat and long commodity grade structural steel products include alloy, labor and energy. Flat and long commodity grade structural steels such as ASTM A36, ASTM A527Gr50, S235, S275, S355 and other equivalent world societal standards represent over 500 million annual tons worldwide. These simple commodity grades consist of a minimum of three base common alloying elements, carbon, manganese, silicon and then can be supplemented with microalloying elements of either vanadium or niobium. Since 2016 raw material costs for two of the five alloying elements in these commodity grade structural steels, FeMn and FeV, have risen significantly and/or have become volatile making it difficult to maintain stability in profitability for these commodity grades. For steel plants producing hundreds of thousands and in some cases over a million tons annually of these common structural steel grades because of the significant alloy cost increase for Mn and V alloy additions has squeezed profitability of these grades. These grades typically represent the base loading for cost controls in most all steel plants and hence a significant cost increase or volatility in two of the five elements used for these grades having a negative effect on overall production costs. However, with a proper strategy for alloy designs working in conjunction with the mills existing processing capabilities to achieve the desired end metallurgy/mechanical properties, alloy costs and operational efficiencies can be realized.

Oct 1, 2019

By Kurt Herzog

State-of-the-art automation information technology and connectivity enables the digitalization of steel production that goes far beyond conventional automation of industrial production. Initiatives have been started around the globe to foster digitalization like IIoT (Industrial Internet of Things) in the US, Industrie 4.0 in Germany or China 2025. Primetals Technologies is actively driving the digitalization shaping the future of steel production. Intelligent combination of sensor technology combined with digital models as well as quality and production planning and control systems leads to new dimensions in product quality and production cost reduction. New diagnostic ways allow intuitive fault tracing or processing to support faster maintenance. Digital assistants support both operation and maintenance using context-oriented or self-learned information.

Oct 30, 2017