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By Lorenzo Bacchetti

Automatic yards with ad-hoc WMS (Warehouse management software), are the key for a modern and efficient warehousing which can face today logistic challenges. WMS boosts the traceability of material while optimizing the storage space. The operations in the yard are safer and logically organized according to algorithms that are specifically adjusted case by case. WMS can easily handle multi-cranes yard avoiding conflicts and increasing accuracy of positioning with decreased number of movements. The synergy of automatic cranes and WMS reduces bottlenecks and speeds up the preparation of deliveries with an overall improvement of warehousing and shipping scheduling.

Oct 1, 2019

By Piotr Kula

Vacuum carburising with pre-nitriding (PreNitLPC® technology) involves feeding ammonia during the charge heating stage before carburising. The purpose is to restrict the growth of grain in the surface layer of the carburised steel. The article presents the influence of nitrogen on restricting austenite grain growth during vacuum carburising and on mechanical properties (fatigue strength, impact resistance) of layers that underwent such treatment in comparison with traditional carburising methods.

Aug 16, 2017

By HaiWen Luo, Bin Hu

A ultra-high strength medium Mn steel with good ductility was designed and manufactured via the combination of warm rolling and V alloying, which produced not only the extensive precipitation of fine VC particles in both ferrite and austenite but also the bimodal size distribution of retained austenite (RA) grains. A substantial increase of yield strength up to 650 MPa was achieved due to the addition of V without deteriorating ductility. The coarse RA grains firstly transformed to martensite during yielding at the much higher stress threshold, followed by a significant work hardening due to dislocations multiplication, twinning-induced-plasticity (TWIP) and transformation-induced-plasticity (TRIP) in the ultrafine RA grains. The best combination of strength and ductility included 1.5 GPa ultimate tensile strength and 28% total elongation. This was achieved due to the sustainable TRIP and TWIP effects in the later straining stage resulting from the ultrafine austenite grains, the latter were reversely transformed from the recrystallized ferrite grains.

Oct 1, 2019

By Silvando Vieira dos Santos

O emprego de trabalho mecânico em ligas metálicas associado a aplicações de tratamentos térmicos estão entre os principais métodos para se conseguir alcançar aumento de resistência mecânica e manutenção de boa ductilidade. Este estudo busca avaliar a correlação entre deformação a frio, tratamento térmico, microestrutura e propriedades mecânicas da liga Ti35Nb2,5Sn. Para isso realizou-se laminação a frio empregando níveis de redução equivalentes a 70%, 80% e 90%. Em seguida, as amostras foram analisadas por meio das técnicas de microscopia ótica, difração de raios X e microdureza Vickers. Na sequência, tratamentos térmicos de envelhecimento foram aplicados em diferentes tempos para cada nível de deformação e os mesmos parâmetros foram avaliados. Observou-se significativo aumento de dureza após etapa de envelhecimento e as análises por metalografia e difração de raios X evidenciaram a presença de fases metaestáveis na matriz beta..

Oct 30, 2017

By Eltton de Sousa Veras

Entendendo-se a complexidade e o impacto da etapa de Perfuração e Desmonte de Rochas nos processos unitários subsequentes, foi iniciado um projeto para otimização do planejamento e execução desse processo. Dessa forma, foi desenvolvido um projeto para auxiliar no planejamento e execução das malhas de perfuração utilizando o sistema High Precision Drill System (HP-DS). Foi realizado um levantamento em campo para comprovação dos ganhos potenciais de redução de custo e aumento de produtividade, sendo resultados expressivos do ponto de vista financeiro, operacional e de segurança, possibilitando uma redução potencial de 15,8% (percentual de metragem que não agrega valor) de metros perfurados sem comprometer o grau de fragmentação especificado para as operações unitárias de lavra. A eliminação dessas perdas representaria uma redução potencial de custos na ordem de 20 milhões de reais.

Oct 30, 2017

By Vinicius Cardoso Ottani

Os processos de estampagem de materiais de alta resistência requerem o uso de aços ferramenta de alto desempenho, uma vez que a aplicação de pressões elevadas produz o desgaste acelerado das ferramentas de conformação, e até mesmo a ocorrência de falhas catastróficas e prematuras. Frequentemente, o desgaste de ferramentas é superado pelo aumento da dureza dos punções e matrizes, o que implica na diminuição da tenacidade. Esta estratégia, entretanto, não pode ser aplicada em operações de conformação de alta solicitação em que os componentes devem ser tenazes o suficiente para suportar as cargas elevadas envolvidas. A maior dureza retarda o início das trincas, porém também diminui a tenacidade do material, facilitando sua propagação. Uma dureza mais baixa, por outro lado, propicia maior resistência do material à propagação de trincas pela maior tenacidade, porém facilita sua nucleação. Constata-se então, que a relação dureza e tenacidade em aços ferramenta deve ser aprimorada através de um design microestrutural preciso, no qual ambas as propriedades possam ser melhoradas. O presente estudo buscou avaliar a vida útil de punções e matrizes de aços ferramenta AISI D2 e VF800AT limitada por trincas e lascamentos em processos de estampagem. O VF800AT apresentou resultado satisfatório e contribuiu para um aumento de até cinco vezes da vida útil da ferramenta quando comparada com o aço AISI D2. Os ferramentais empregados nesse trabalho foram também caracterizados em laboratório por meio de microscopia óptica e eletrônica de varredura. O superior desempenho das ferramentas produzidas em aço VF800AT é justificado pela sua superior tenacidade em relação ao AISI D2, devido a uma microestrutura composta de uma matriz de martensita revenida e carbonetos primários em menor fração volumétrica.

Jul 30, 2018

By Andrea Donadon

This article introduces the Danieli Total Asset Management System, which involves 360 degrees service methods and equipment. Danieli Condition Monitoring System and Danieli Torque Monitoring System are fundamental to evaluate the conditions of the working components in heavy duty transmissions. The first one monitors the vibrations and the lubrication fluid conditions with the purpose to identify the presence of malfunctions, by detecting any variation of the signals from the standard values. The second one monitors the transmitted torque for each spindle and gearbox, with the aim of detecting any anomaly in torque distribution and magnitude, and evaluating the residual life of the mechanical parts, on the base of a dedicated fatigue damage algorithm. All these features are useful in avoiding serious damages to machines, facilities and people, but allow also planning the maintenance and overhaul activities with efficiency, in order to achieve the best plant availability and reliability. The data analysis is made by the IntelliCMS software, which interfaces with plant and Danieli operators and includes the possibility to cooperate by remote connections, simplifying service activities and support. All these features allow providing new full service programs, where the client is totally supported in maintenance, overhauls and substitutions. This is the best way to ensure the most efficient, high quality and reliable after sales assistance.

Aug 16, 2017

By Jörg Busch

The essential pre-requisite for attaining the high quality of product required from high-speed continuous production processes is the use of new measurement and control technologies. High availability and reproducible measuring results ensure the high level of process stability necessary for full continuous operation. The requirements for the optimisation of quality across the complete production process and for quality analysis systems will be discussed. This report will present examples of basic and new measurement technologies in Cold Rolling Mills and Processing Lines. The following gauging systems will be discussed in detail: Strip tension meter, roll force measurements, weighing systems and shapemeter rolls. The measuring and control systems in this presentation must be seen as high-tech solutions in the field of processing technology. The measuring methods and technologies described are, together with optimised process models and precision control loops and actuators, the main pre-requisites for achieving the quality of product required from high-speed continuous production processes. Interconnected quality management systems enable optimisation across the complete production process.

Jul 30, 2018

By Giuseppe Pintaude

This study aims to evaluate the effect of specimen preparation on the dry sliding wear behavior of CA-6 NM stainless steel. Two different surface finishing manufacturing processes were applied: lapping and metallographic polishing. The wear tests were conducted in reciprocating ball-on-flat system, performed for two loads: 5 or 8 N. For all test conditions, hardmetal ball was employed as counterbody. The surfaces were evaluated using 3D interferometry technique to determine their surface roughness, including texture analysis regarding isotropy. Surface characterization results indicated the presence of texturing and preferential orientation, since the parameter Str was smaller than 0.5 for samples of both the studied conditions. Two distinct levels of isotropy evaluated through Str parameter were achieved: 0.13 for lapping and 0.3 for metallographic polishing process. It is clear from wear tests that the variation of average surface roughness is the key point for tribological behavior of CA-6 NM stainless steel.

Jul 31, 2018

By Christoph Aichinger

A smart combination – Primetals Technologies developed the Circular Pelletizing Technology (CPT), which is a combination of the well-proven travelling-grate pelletizing technology with the design of a circular dip rail cooler of modern sinter plants. The overall space requirement and the installed weight for a CPT plant is significantly less compared to conventional technologies and by that CPT is a very attractive alternative for new projects.

Aug 16, 2017

By Giuseppe Pintaude

The use of two-dimensional shape parameters to characterize abrasive particles is a possible approach to express their angularity. Nonetheless, in sliding abrasion, especially in pin abrasion testing, coated papers structure plays an important role and even its damage during the wear process should not be neglected. This manuscript discuss the limitations of two-dimensional shape descriptors in distinguishing wear caused by relatively hard particles, indicating that the wear data obtained in sliding abrasion tests are unable to distinguish different types of coated papers used when only the two-dimensional particle projection is considered for shape characterization.

Jul 31, 2018

By Edo Engel

Blast furnace No. 3 at Zaporizhstal in Zaporozhye is rebuilt in 2016-2017. The Ukrainian company is targeting increased production and availability, mainly through the use of new technology. Zaporizhstal awarded a contract for a new Top Charging Unit to Danieli Corus, after comparing all available technologies. Reliability of the chosen charging device is pivotal, since long outages may be required for maintenance/replacement jobs, which strongly affects the availability of the blast furnace. This article describes the Top Charging Unit including DANCU (Danieli Charging Unit) - a robust hydraulic system. The main focus employed by Danieli and Danieli Corus during the development of this system has been availability and maintainability of equipment. This chute type charging unit has only few major moving parts, none of which is complex or vulnerable. The article also describes the main challenges of the project at Zaporizhstal, such as the use of hot sinter.

Oct 30, 2017

By Bruno Pinheiro Silva, João José dos Santos Carvalho, Flávio Túlio Busatto, Leonardo Passos Perdigão

Sinter has high participation in the blast furnaces ferrous burden in ArcelorMittal Tubarão, being therefore of paramount importance the constant control of its physical, chemical and metallurgical qualities, aiming at the fulfillment of the client required quality. With the great challenges faced by market conditions, steelmaking companies seek operational sustainability, aiming at stability and reducing costs. One of the main steps to obtain these results in the Blast Furnaces is the raw materials quality stabilization, in order to guarantee the perfect burden distribution control and a better use of the reductant gas inside the reactor, aiming a lower fuels consumption. It is known that the smaller a ferrous particle is, better its reducibility, since a larger surface area provides greater contact with the reductant agent. Based on this concept, the objective of this work is to quantify the effect of the sinter size produced in ArcelorMittal Tubarão Sinter Plant in its reducibility, and in this way enable the definition of a better sinter particle size distribution aiming at a balance between the permeability effects and gaseous yield in the Blast Furnaces. In addition, the reducibility effects on sinter size reduction were evaluated, where the 5 to 10 mm fraction was analyzed in two sinter samples, the first obtained from the conventional route and the second after crushing of the fraction over 50 mm, in order to simulate the effect of the use of a Secondary Crusher in Sintering.

Oct 1, 2019

By Eneias Pacheco Moreira Junior

A partir do advento computacional, foram possíveis novas formas de análises comportamentais de fenômenos físicos via simulação computacional. Este trabalho visa utilizar de técnicas de visão computacional e processamento de imagens digital, aliado ao método do cone causal para simular evolução microestrutural em aços. A partir de uma micrografia, um domínio real em 2d foi obtido computacionalmente por visão computacional. Os contornos da microestrutura foram detectados por processamento de imagem digital. Nestes contornos foram simulados nucleação e crescimento de novos núcleos, pelo método do cone causal. Ao fim do trabalho foram apresentados, dados da evolução microestrutural do sistema estudado na forma de fração volumétrica versus tempo, área superficial por unidade de volume versus tempo e uma microestrutura discreta simulada. Apresenta-se neste trabalho uma nova ferramenta computacional para estudar reações de nucleação e crescimento em 2d a partir de microestruturas reais.

Oct 30, 2017

By Martim Hideki Nakayama Kurauchi

One of the main issues regarding the use of charcoal in metallurgical processes is its mechanical strength, which is much lower than coke. There is no defined standard to determine charcoal compression strength, and the methods described in the literature consist in using a prepared specimen and applying compressing load in the same direction of the charcoal fibres. As charcoal is highly anisotropic, it is proposed a procedure that does not use a specimen and with load applied on a specific direction. Instead, it intends to simulate industrial conditions by randomly dumping charcoal inside a tube, without preferential directional arrangement. This is an attempt to determine charcoal mechanical strength and predict the behaviour of bulk charcoal under a static load, as in a blast furnace. Experiments with controlled loads have been carried out on randomly distributed bulk charcoal with controlled initial size and their effect on the size distribution has been analysed. After compression, charcoal is screened and each size is weighed, determining the particle size distribution of the experiment. This method can therefore be used to evaluate charcoal mechanical strength.

Aug 1, 2018

By Jean Viana Bahia, Antônio Adel dos Santos, Vicente Tadeu Lopes Buono

During cold rolling of Cr-Mo alloyed DP steel, considerable oscillation of thickness may occur. The literature points out that such occurrence is due to non-uniform cooling of the coil after the hot rolling process. Since the austenite transformation in this steel continues after coiling, the microstructure and, consequently, mechanical properties are very susceptible to natural variations in cooling rates associated with distinct positions of the coil. The influence of coil cooling conditions on thickness oscillation during cold rolling was evaluated in this work by using both industrial experiments and dilatometer tests. It was verified that an industrial coil presented large variation of mechanical properties associated with its heterogeneous microstructure. Consequently, thickness oscillation occurred during cold rolling. Dilatometer tests simulating hot run-out table and coil cooling showed that the austenite transformation is very slow under small cooling rates that occur after coiling. Thus, the slow transformation rate makes the coil very susceptible to environmental conditions around it during its natural cooling and is responsible for variation in mechanical properties of the coil. To ensure the formation of a more homogeneous microstructure in the whole coil, it is necessary either to make use of technologies that improves the cooling uniformity or to adjust the steel alloy design. The latter alternative has been done with relative success by using conceptions with lower amounts of Cr and Mo.

Oct 1, 2019

By André Palmiro Storch

O objetivo do presente trabalho é investigar o escoamento de oxigênio no bocal convergente-divergente da lança utilizada nos convertedores BOF da ArcelorMittal Tubarão. As condições de sopros macio, normal e duro são analisadas através de ferramentas analíticas e computacional (CFD). Os resultados evidenciam que o contorno do bocal não promove uma expansão apropriada do escoamento, ocorrendo ondas de choque fortes no interior do mesmo e ocasionando perdas de energia cinética em todas as condições de sopro. Adicionalmente, as condições dos sopros macio e normal tornam a saída do bocal vulnerável ao desgaste térmico, devido à pressão de saída do bocal ser menor que a do ambiente.

Oct 30, 2017

By Joachiim Lehner

The application of post-combustion (secondary oxygen) to avoid skull formation on BOF lances was tested in industrial trials. The main findings are that no negative impact on the metallurgical targets (i.e. carbon, temperature and phosphorus at end of blow as well as iron–oxide in the slag) could be observed. The technology is capable of avoiding the buildup of lance skull and consequently increasing the average life of lance tips. The application of post-combustion not only affects the skull formation, there are also interactions with the refractory lining, especially thermal wear, and the utilization of the process gases (CO Recovery) that have to be considered. Special attention has to be paid to the parameters determining the use of secondary oxygen because rather small changes can strongly affect the points mentioned above. Since August 2016, the PCD (Post-CombustionDistributor) lances are used on a daily basis in the steelplant LD3 in Linz.

Oct 30, 2017

By Patrícia Mundim Campos Faria

The process of particle size reduction by grinding is inherently inefficient and involves high capital and operating costs. In particular, ball milling is one of the important unit operations in the iron ore pelletizing process. The mill product, due to its physical properties, determines the efficiency of subsequent stages of classification, filtration and pelletizing, thus impacting the quality of iron ore pellets. The work demonstrates the application of the population balance model in the optimization of a full-scale ball mil circuit grinding pellet fines with the aim to evaluate the optimal solids concentration to improve iron ore pellet quality. Initially, detailed experimentation was carried out in a 25.4 cm diameter batch mill and a relationship for mill scale-up using a linear population balance model in wet grinding systems was established. The selection and breakage parameters and the specific selection functions were determined for pellet feed iron ore. It was possible to identify the non-normalizable nature of the breakage functions of the ore studied, which were modeled properly. Afterwards, as a result of incorporating the specific selection functions and breakage functions into the linear population balance model, it was possible to predict product size distributions in the pilot and plant scale mills (0.416 and 5.18 m diameter, respectively) from data obtained in the 25.4 cm diameter mill. Finally, with this scale-up procedure it was possible to appraise the plant scale optimization via laboratory scale grinding mill tests. The effects of changing percent solids were assessed in order to improve the industrial mill performance and the optimal value should be in the range from 76 to 80%.

Aug 1, 2018

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