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By Haruki Inami, Takashi Ishida, Kazuhiro Ohara, Hiroyuki Imanari

The highly competitive business environment of the international metals industry is driving demand for more cost-effective operation of steel making facilities, rolling mills, and strip processing lines. Achieving stable operation is vital if the steel industry is to produce high-quality products constantly and productively. In recent years, advances in computer processing speeds, data acquisition rates, and data storage capacity have rapidly led to greater use of the new technologies of big data, analytics, the IoT, and AI by control system designers and process engineers, and the introduction of industrial applications. The “Smart Rolling Mill” solutions for hot strip mills have been developed by our group with the goal of achieving sophisticated, state of the art, and automated operation in steel rolling mills. The various solution engines improve process stability, increase the performance of mill equipment, and provide improved process control. These solution engines are based on extensive knowledge of the rolling process and the associated control systems. Two solution engines in particular are the diagnosis systems for rolling condition and for product quality that contribute to cost-effective operation and lower yield loss. This paper focuses on the diagnosis systems for rolling condition and for product quality in hot strip mills. Advanced information technologies using big data analytics and machine learning are applied to real-time data collected from the automation system that controls operation and the rolling process. We have developed diagnosis solutions for rolling condition and product quality utilizing predictive and clustering diagnosis. Predictive diagnosis prevents serious problems by detecting changes in the state of the plant or in the rolling condition. Clustering diagnosis classifies patterns of fluctuation in product quality trend charts, providing effective tuning guidance for improving product quality. This paper describes these applications with several examples.

Oct 1, 2019

By Henrique Lacerda Eleutério, Aldo Henrique de Almeida Barbosa, Vicente Tadeu Lopes Buono

The automotive industry’s interest in galvannealed (GA) boron steel for hot forming processes application has been steadily increasing due to its excellent surface quality, galvanic protection provided to the parts, good paint adhesion and better weldability in relation to other coatings for this application. In this study, samples of 22MnB5 galvannealed steel were heat treated and hot stamped on a water cooled die in laboratory scale. The influence of heat treatment on stability of coating and steel was assessed by using initial heating rates 11.0ºC/s and 15.0ºC/s. Microstructural evolution of galvannealed coating and structural integrity of steel during hot forming were investigated by scanning electron microscopy with energy dispersive spectroscopy analysis (SEM/EDS/Line scan), X-ray diffraction (XRD) and optical microscopy (OM). It was possible to quantify the Fe-Zn phase evolution during hot forming, to understand the effect of these heating rates on the product properties and to establish an optimized heat treatment for hot forming of these steel. The heat treatment with the heating rate of 15.0ºC/s presented greater operational flexibility and final products free from surface defects or cracks in the substrate.

Oct 1, 2019

By Thiago Pinto Silva, Leandro Rocha Lemos, Luiz Fernando Andrade de Castro

This paper shows an evaluation about effect of dispersant sodium silicate along to limestone, in the form of pulp, on the cold agglomeration process for iron ore sintering. Before that, it was verified the effect of pH, solids content and amount of dispersant on the stability of the system (limestone, water and sodium silicate). It was found that the lower the solids content, the more alkaline pH and the amount of sodium silicate equal to 20 l for each 1t of limestone, was the level of dispersion of the system. The influence of the limestone pulp with dispersant depended on the granulometry of the ore mixture and the type of technological route. For the thinner type (42,8% <0.15mm), the limestone pulp with dispersant reduced the resistance of the adherent layer of the cold agglomerates, regardless of the technological route. However, for the coarser type (24,7% <0.15mm), the limestone pulp with dispersant increased the average size of the aggregates, preserving the resistance of the adherent layer when manufacturing with two intensive mixers in series.

Oct 1, 2019

By Larissa Rodrigues de Carvalho Rocha, Mauro Vivaldino Fernandes, Beatriz Fausta Gandra

A composição química do gás redutor afeta, de forma marcante, sua difusividade através do leito e a capacidade de redução da carga metálica. Associado a isto, o cenário econômico e ambiental indica a necessidade de se buscar cada vez mais elevada produtividade dos altos-fornos, com baixo consumo de combustível e menor emissão de CO2. Para tanto, as empresas têm buscado operar com elevada taxa de injeção de carvão e, em casos de política favorável, intensificar o uso de gás natural em altos-fornos. Nestes casos, a quantidade de material reduzida via H2, em comparação ao CO, é aumentada. No presente trabalho, são apresentados os resultados de ensaios em amolecimento e fusão (A&F) de dois tipos de granulados, de um tipo de pelota e de um sínter industrial, utilizando-se como redutor um gás com diferentes teores de H2 (0% a 12%). Verificou-se que, para o granulado, não há uma tendência definida. Embora um maior teor de hidrogênio possa favorecer a redução, isto não refletiu em melhor permeabilidade do leito. No caso da pelota estudada, houve leve tendência de melhora nos parâmetros avaliados quando se tem o gás mais rico em hidrogênio. No entanto, seu desempenho em A&F foi muito aquém daquele esperado para este tipo de carga, uma vez que apresentou elevada resistência à permeabilidade associada à baixa redutibilidade até o início do amolecimento. Para o sínter, foi identificada evidente melhora nos aspectos de redução e de permeabilidade do leito.

Oct 1, 2019

By Cameron Soltys, Hamid Ghorbani, Maher Al-Dojayli

Cooling staves in blast furnaces are used to minimize the process heat loads on steel shell and refractory system. Copper staves are exposed to significant fluctuating thermal loads which may lead to premature stave failures due to cracks, water leakage, bending, abrasion and resultant wear. In this paper, an assessment methodology is presented to evaluate the effect of thermal cycling on copper staves including bending, fatigue and thermal ratcheting. This approach incorporates temperature-dependent copper properties including creep and plasticity to more accurately capture inelastic deformations, damage and fatigue in staves under transient and cyclic thermal loading conditions. Root cause failure assessment and improvements to copper stave design can be assessed using the presented methodology.

Oct 1, 2019

By Christian Overhagen

In bar and wire rod mills, rolling procedures featuring three- and four-roll technologies are state-of-the-art to produce high-quality long products. While a rolling model for the three-roll process including an equivalent pass method was already presented by the author, pass design methods are dealt with in the current work. The geometry of the rolled product and roll grooves are described mathematically using functional contours, allowing geometric-numerical methods to be used for manipulation and deformation simulation of the rolled product. For a given pass, the output section is constructed using these methods. Roll force, torque and rolling power are calculated using the mathematical rolling model presented before. Interstand tensions are discussed as influencing parameters on the force, torque and power demands, as well as on the section shape. A mathematical model for the influence of interstand tensions on lateral spread is incorporated in the model. To complete the pass design model, elastic mill stand feedback is considered in terms of a fixed elastic modulus for each rolling stand, the elastic feedback and therefore cross-sectional variation due to elastic mill spring being calculated iteratively from the roll force by application of the Gagemeter equation. The interaction of section height and width faults due to elastic mill spring and spread variations is analyzed in detail and the consequences for the roll pass design are shown.

Oct 1, 2019

By Antonio Favia, Carsten Sowa, Spencer Diehl, Maria Carolina Campos, Christian Green, Marco Tulio, Olaf Schulz

Casting fluxes are one of the key factors to guarantee a good performance of the continuous casting process. Fluxes are added over the liquid steel in the mold, where carbon in the flux reacts with any air present, to form a reducing atmosphere of CO (g) to protect molten steel from oxidation. Then the oxide components form the sintered layer and they melt to form a liquid flux pool. Liquid slag from the pool infiltrates into the mold/strand channel and lubricates the newly-formed, steel shell. It was very common in the past that the addition of casting flux in the mold was made manually by the continuous casting strand operator, where the addition uniformity would mainly depend on the attention of the Operator in process and the addition standard would change from one operator to another, may causing variability on the continuous casting quality parameters. This paper presents improvement of continuous casting parameters such as, stability of flux thickness and reduction of dust in the continuous casting process, with the use of flux distribution mechanism in two continuous casting machines from two different steel plants.

Oct 1, 2019

By Ruediger Holz, Tommaso Settimo, Luciano Vignolo

Optimized CAPEX, OPEX, new products, yield and product quality in new process equipment as well as by upgrading of existing facilities are the key factors for success and profitable operation. For this, innovation in processes and design is crucial. Danieli can support their clients by offering innovative and well-thought-out process equipment and upgrade solutions. In 2018, Danieli has put into operation a complete cold processing complex in Turkey, which includes a new continuous pickling tandem mill featuring latest generation of market oriented technologies. In this line, dedicated to run a broad range of size and grades (IF to AHSS as DP1000), the highly efficient Turboflow® pickling process was selected. This technology already proved its efficiency and ability in former applications handling ultra-thin gauges at speeds even exceeding 400 m/min in the pickling tanks. The 5-stand 6-high OSRT tandem mill features important developments, like actuators to improve significantly strip flatness and a special air knife arrangement on the tandem mill exit side to generate perfect strip surface cleanliness. In galvanizing lines, the zinc pot is the most effective area to reduce costs in operation and consumables and increase the product quality. Danieli has spent significant efforts in developing most advanced technology for the wiping process. A fully integrated system solution has been designed to perform a wiping process with high quality, economy, accuracy and productivity. Center part is the newly developed X-Jet / Compact X-Jet air knife, added by new generation electromagnetic stabilizer as well as robotic systems to reduce human intervention and health risks in this area. This technological package is ideal also for upgrade of existing lines, typically generating a return of investment less than 1 year. On top, Danieli has developed advanced automation systems including L2 and L1 controls to achieve outstanding product performances.

Oct 1, 2019

By Pablo Altoé Amorim, Bruno Sellitti Borges, Otávio Lube dos Santos, Arthur Pizetta David, Matheus Diogo Penido da Silva

Automation is in everywhere nowadays, including within companies and industries, and is therefore fundamental and essential for production, quality and process control of them. There are many ways to automate a production line or a machine can be through relay logic, Programmable Logic Controllers (PLCs), and even more modern microcontrollers with native Internet of Things (IoT) support can be used. What are the advantages and disadvantages of each approach? A PCB was created using more modern microcontrollers programmed in C, C ++ and Whiting language to simulate a replacement of a PLC in an actual machine. Having a very positive result, being able to handle the machine manually via Wi fi besides being able to also perform a real-time monitoring of the machine's motors through the mobile phone, thus entering the IoT and fitting into the Industry 4.0.

Oct 1, 2019

By Jianping Li, Fei Peng, Yunbo Xu, Jiayu Li

In this study, in order to achieve ultra-high strength without reducing plasticity, a novel heat treatment involving a pre-quenching process prior to conventional intercritical annealing (P-IDP) was proposed in a low carbon low alloy DP steel. It revealed that abundant fraction of banded structure was observed after conventional intercritical heat treatment (IDP) due to the inheritance of cold rolling deformation. However, the banded structure in novel heat treatment was eliminated significantly, whilst the refined microstructure was relatively more homogeneous with ultrafine ferrite grains. Moreover, obvious chain-networked martensite grains along the ferrite grain boundaries were obtained. The optimum mechanical properties with ultimate strength of 1238 MPa, total elongation of 17%, product of strength and elongation (PSE) of 21GPa% were obtained by P-IDP treatment, which was much higher than the values reported with similar composition. As to pre-quenching treatment, all of grain refinement, homogeneous distribution of martensite islands and precipitated strengthening of microalloyed carbides were beneficial to improve the final strength and ductility.

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 Hormando Leocadio, CWM van der Geld, Julio Cesar Passos

Impinging water jets promote high heat flux extraction rate. Steel industry widely employs the process for accurate temperature control to improve the microstructure and to ensure adequate mechanical properties. The range of surface temperatures, heat fluxes and cooling rates are very large, which makes it important to obtain an accurate value of the heat transfer coefficient. This paper presents an experimental and numerical study of the heat transfer behavior of a high temperature (450°C - 900°C) steel plate cooled by a water jet at 20°C to 70°C. High-speed imaging (up to 20,000 fps) within water jet impingement zone allowed the characterization of the boiling regimes in the early stages of cooling. The effects of initial temperature, water jet temperature and velocity on the heat transfer coefficient were analyzed by inverse heat conduction method that predicts the heat flux and temperature on the top surface from temperatures measured with thermocouples inserted in test plate. Heat transfer is strongly affected by the initial temperature of the hot steel, water jet temperature and, less intensely, by jet velocity. High cooling rates start when liquid water is in direct contact with surface temperatures above 700°C.The results will contribute to the enhancement of the temperature cooling control on the runout table and cooling model employed at Usiminas Hot Strip Mill.

Oct 1, 2019

By George Schipper, Peter Gelten, Pepijn Adriaen, Hugo Uijtdebroeks

Tata Steel IJmuiden Hot Strip Mill 2 (HSM2, 5.5 Mtonnes/yr) is currently being upgraded, resulting in an increased rolling force and motor power capacity. With the current conventional work roll spray cooling, a deterioration in work roll & strip surface quality performance is expected as a result of the increased mill capacities. In order to improve strip surface quality, HSM2 decided to do a full-scale production trial with High Turbulence Roll Cooling (HTRC) at stand FM2. HTRC is a novel way of roll cooling using a high turbulent flow regime. HTRC is positioned very close to the roll surface and gap exit, which is beneficial for the roll surface quality. It is operated at a high flow rate but at a low pressure. HTRC not only significantly improves the roll surface quality, in addition, it makes high pressure pumps, needed for the conventional spray cooling, redundant, leading to substantial savings on electricity costs and thus CO2 emissions. HTRC is in trial operation since 7 August 2018. Results show no operational issues, an excellent roll surface quality and an increased cooling efficiency. In summer 2020 stands FM1-FM2-FM3-FM4 of HSM2 will be equipped with HTRC.

Oct 1, 2019

By Edmar de Souza Silva, Antonio Augusto Gorni, Emanuelle Garcia Reis, Daniel Bojikian Matsubara

Controlled rolling followed by accelerated cooling, known worldwide as TMCP, aims to increase mechanical properties without toughness deterioration. The process principle is to promote the plate cooling with water jets along the range of the austenite transformation temperatures. The accelerated cooling process is only fully effective when controlled in an integrated manner, as it alone cannot ensure significant improvements in the final properties of steels. Plate surface quality depends on some parameters that must be controlled before the start of the plate accelerated cooling. Good flatness is essential to avoid irregular water accumulations during cooling. After the reheating process, the slab should have uniform temperature, uniform austenitic grain size and easily removable scale. The slab thermal and microstructural heterogeneities are inherited by the rolled plate and tend to increase further during the accelerated cooling. This results in flatness problems, high level of internal stresses and mechanical property variations. The descaling strategy is an extremely important factor and must be determined with great caution. It is important that scale thickness and distribution is uniform to ensure homogeneous cooling over the entire plate surface. Otherwise, there will be an uneven temperature distribution, which can cause serious problems of flatness, surface quality and mechanical properties.

Oct 1, 2019

By Ramon Augusto Moretti, Henrique da Rocha Severino, Renato Nascimento de Castro, Fernando Cesar Sousa

Rolling stand 12 (LTx) of long steel, installed in the company A, Piracicaba - SP unit, had presented high levels of vibration, which affected its internal components, such as: shaft, gears and bearings, generating downtime. To evaluate this equipment a study was proposed by the following engineering techniques: Conventional Vibration Analysis, Operational Deflection Shape (ODS) and numerical simulation by the Finite Element Method (FEM). In the Conventional Vibration Analysis, high levels of vibration were observed during manufacturing process, especially when the material reaches the equipment. Impacts generate high values in acceleration, on average 80 m/s² peak to peak. In the moment of impact, misalignment of internal components was observed by ODS. Field results were correlated to those obtained by the Finite Element Method, which allowed to calibrate FEM model. Thus, the most effective structural modification already numerically evaluated was implemented in the system. Afterwards, new measurements by vibration and ODS techniques were performed, and attenuation of vibrational levels and operational mode, which overloaded the internal components rolling stand, were verified.

Oct 1, 2019

By Jean-François Stumper, Mario Moser, Mark Kruessmann, Volker Langer, Daniel Bastos Martins Cruz, Claude Meisch

The latest generation of probes and casthouse machines provide a wealth of data that has not been available a few years ago. The evaluation of this data gives direct feedback to improve the blast furnace efficiency, the equipment maintenance and design and it allows the early detection of critical or deviating process situations. A stable operation with lower operation and maintenance costs are the final customer benefits.

Oct 1, 2019

By Matheus Felipe dos Santos, Eric Yoshimitsu Sako, Murilo Henrique Moreira, Douglas Fernando Galesi, Ricardo Afonso Angelico, Vladnilson Peter de Souza Ramos, Maria Gabriela Garcia Campos, Victor Carlos Pandolfelli

O consumo de energia em panelas de aço está relacionado às etapas do processamento que ocorrem durante o refino secundário. O aço líquido perde energia térmica quando são adicionadas ligas, pelo sopro de gases, agitação e por convecção natural. Cerca de 70% dessas perdas ocorrem pelos revestimentos refratários, que dissipam energia para o ambiente quando suas superfícies são resfriadas. A microestrutura dos refratários Carbonfree resulta na redução da transferência de calor no material, devido a presença de fases de baixa condutividade térmica (por exemplo, agregados porosos) e sem o carbono que é uma fase usualmente presente e aumenta a condutividade térmica nos materiais. O processo nas panelas de aço é transiente e necessita de ferramentas numéricas avançadas para investigar o desempenho desses materiais nas condições específicas de cada aciaria. Tais ferramentas foram aplicadas para estimar o potencial de conservação de energia dos revestimentos Carbonfree em um caso real (linha de metal e sola) e os resultados mostram um potencial de redução de 21%. Os testes realizados in-situ compararam as diferentes taxas de queda de temperatura para cada configuração com as previstas pela ferramenta. Os benefícios estimados foram comprovados e a eficiência dos materiais investigados foi validada.

Oct 1, 2019

By Jônatas Venancio Barbosa, Dagoberto Brandão Santos, Túlio Magno Füzessy de Melo

In this work, the mechanical and metallurgical behavior of titanium added ultra-low carbon (ULC-Ti) steel under hot and warm working conditions was studied by means of dilatometer compression tests. Double compression schedules were performed at temperatures between 700°C and 1000°C, inter-pass times of 0.5-100 s, and deformations of 0.5 and 0.3 in the first and second stages, respectively, with strain rate of 1 s-1. The analysis of the flow curves obtained allowed the evaluation of the softening characteristics of the steel. The softening and microstructure features indicate different restoration mechanisms depending on the temperature range. Static recrystallization with rapid microstructure restoration is observed at temperatures within the austenitic and intercritical field. Strain induced boundary motion and recovery mechanisms apparently control the restoration process in the ferrite region. In general, flow stress curves showed dynamic recovery behavior. Only the deformation in the intercritical region produced a peak in the flow stress curves. Isothermal holding tests associated with single hit compression indicated the presence of dynamic strain induced transformation, accelerating the softening kinetics at the intercritical region.

Oct 1, 2019

By José Maurício dos Santos Pinheiro

É cada vez maior o número de corporações que desenvolvem seus negócios baseados nas novas tecnologias de informação e na Internet. Neste contexto, a segurança cibernética configura-se paradoxalmente como um custo e uma necessidade para a sobrevivência de uma corporação. Obter um sistema mais seguro e protegido contra vírus, invasões pela Internet e atos de espionagem ou sabotagem hoje é visto como algo de valor significativo. A segurança cibernética deve ser tomada como opção estratégica e não apenas tecnológica ou gerencial, com impacto positivo e inegável sobre o negócio, estando relacionada ao conjunto das medidas que visam dotar as redes industriais com capacidade de inspeção, detecção, reação e reflexo aos potenciais ataques, permitindo reduzir e limitar as vulnerabilidades e o impacto quando estes se concretizam. Este artigo busca apresentar a importância das soluções integradas de segurança no ambiente das redes no conceito de Indústria 4.0.

Oct 1, 2019

By Xiaowei Du, Xitao Wang, Xuekun Shang

The deformation behaviors under both tensile and compressive forces and microstructure evolutions of cast SA508-4N steel were investigated at elevated temperatures. True stress-strain data were obtained from hot deformation experiments performed on a Gleeble-3500 thermal-simulator under different temperatures (750-1200C) and strain rates (0.001-10 s-1). The reduction of area decreases as a function of temperature from 750C to 900C and then increases. At 1200C, the reduction of area reaches more than 99% with the strain rates of 0.5 s-1 and 1.0 s-1. The dynamic recrystallization under compressive stress occurs at 800C under low strain rate and a complete dynamic recrystallization can be observed when the temperature reaches above 1100C. A “two-stage” flow stress constitutive model concerned with dynamic recovery and dynamic recrystallization was established based on the true stress-strain data. This model shows good agreement with experiment results. Moreover, we developed a dynamic recrystallized grain size model to describe the average grain size after complete dynamic recrystallization.

Oct 1, 2019