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By Jan Lampke

Increasingly pelletizing discs are used for the recycling of dust and sludge. The applied pellet feed is highly variable, for example in terms of chemical composition, grain size distribution and raw density. These raw materials related factors lead to a destabilized pelletizing process, which initially must be homogenized through special mixtures, as well as the use of binders or additives. There are many possibilities to reach stringent restriction of material related target factors. On the one hand it is helpful to be flexible by changing the process parameters of the pelletizing disc. On the other hand, it is necessary to use a material-binder-formulation, which leads to a highly stable pelletizing process. The paper deals with an example of the use of agglomerating device, pelletizing disc, to prepare different dusts and sludges for material recycling. These dusts und sludges are mostly generated in metallurgical processes, e.g. sinterplant, blast furnace and steelworks.

Aug 16, 2017

By Daniel Antonio Kapper Fabricio

A avaliação das propriedades de mecânica da fratura dos materiais é uma necessidade crescente, sobretudo no setor de óleo e gás. Esse cenário exige a garantia da qualidade na execução de ensaios de tenacidade à fratura. Esse trabalho tem como objetivo realizar uma comparação intralaboratorial para o ensaio de tenacidade à fratura KIC variando o executante do ensaio, visando atender ao requisito de garantia da qualidade da norma NBR ISO/IEC 17025. Os resultados foram comparados através de análise de variância. As diferenças entre os operadores não foram significativas frente ao erro residual a um nível de confiança de 95%, sendo tal resultado considerado satisfatório.

Aug 16, 2017

By Michael Brandner

In the past the research and development of new materials for hot mill rolls was mostly done by trials. Such trials are expensive and difficult to transform from small size to the big size of a solid roll. Computation is the cheaper way to get ideas processed and can be varied in different directions. The main part before simulation is the generation of the needed basic data of the specific materials. Some data is already well known and can be bought from databases; others have to be done specifically for our materials. The evaluation of such results has to be done still with solid trials, but the number of trials can be reduced. The advanced techniques of finite element calculation offer a wide range of possibilities to get answers about alloys, solidification, casting parameters and their influence. The possibility to calculate a heat treatment cycle and to get an answer about the internal stress modification during the cycle is a great help to understand the principle of transformation. Examples of different calculations in various fields will be given. The close cooperation with universities and other research institutes as well as the in-house possibilities will be presented.

Jul 30, 2018

By Masahiro Shimura, Yoshiki Takahama, Toshiyuki Shiraishi, Daisuke Kasai

When advanced high strength steel (AHSS) is rolled at a high reduction ratio, the forward slip ratio in cold rolling tends to be lower than that of the other softer strips such as low-carbon steels, and the work roll sometimes skids the strip. To identify why forward slip ratio of AHSS at a high reduction ratio becomes smaller than that of low-carbon steel, the relationship between the reduction ratio and forward slip ratio was investigated by a rolling experiment. For this trial, a 4Hi laboratory cold mill was used. AHSS and low-carbon steel coils were rolled by two different rolls that were set to 0.3 and 0.6 μmRa to create two types of friction conditions. Furthermore, the rolling conditions were numerically analyzed to determine the influence of friction coefficient and flow stress on the relationship between forward slip ratio and reduction ratio. The experimental investigation and numerical analysis revealed that the forward slip ratio reduced with increasing rolling reduction ratio in a low friction state; contrarily, it increased with increasing rolling reduction ratio in a high friction state. This feature was clearly visible when harder materials were rolled.

Oct 1, 2019

By Frank Schrama

The Steel Plant Model (SPM) is an advanced logistic simulation model for steel plants. With the SPM, bottlenecks can be solved and logistics can be optimized. Both existing plants and greenfield designs can be simulated. All movements and actions simulated, from hot metal to cast products. Not only all major equipment and their relevant components (like a sublance) are simulated, but also ladles, scrap boxes, transfer cars and cranes. The whole plant is simulated in 3D and actual distances and speeds determine transport times. The SPM includes process time deviations and equipment downtimes for maintenance or unexpected breakdowns. This ensures more realistic and reliable results. Logistic optimization is based on comparison of different scenarios. For a new scenario, equipment and practices, etc. can easily be modified, added or removed. At the same time the SPM produces all relevant data for every new scenario, which can be presented conveniently. This makes the SPM the ultimate tool to find bottlenecks or optimize plant logistics. The SPM is validated for several plants world-wide, with different characteristics and layouts. The SPM not only realistically simulates existing plants with all utilizations, crane movements and waiting times, but also to accurately predicts the influence of plant modifications or unexpected events like breakdowns. Given the flexibility of the SPM, any (new) steel plant can be simulated quickly when a layout and the requested data are provided.

Aug 16, 2017

By Mark Gilliam

Control of true steel level in the tundish during casting is desired in order to maintain the correct pressure head and thus provide a stable flow to the mold. Also the control of tundish draining prevents slag carryover and can increase yield at each end of cast sequence. At Steel of West Virginia (part of the SDI Group), it was understood that to be able to measure the true steel running level and control the drain level at the end of casting would be a great benefit during production at their three strand billet caster. This paper sets out to show how an evaluation process was started to find the best method to determine steel level in the tundish and to prevent the steel level dropping low enough to allow slag to enter the mold. Also how the decision was taken and a real time molten steel measurement system was installed and by utilizing the resulting data in the process, how slag in the mold was removed as an issue, how lost production was reduced and how consistent steel level has provided constant casting speeds and improved stream integrity, all leading to realized quality improvements. Other areas discussed within the paper will be the training of operational staff, the difficulties to be overcome when first installing new equipment and how these teething problems were cured by close co-operation between the steel plant and the equipment suppliers. In conclusion the paper will discuss the production improvements achieved, production cost savings at the plant and how the generated data was integrated into the plants process control system.

Aug 16, 2017

By Valeria Collini, Antonello Mestroni, Enrico Plazzogna

The Danieli Group is deeply involved in the technological improvements stimulated by Industry 4.0 concepts widely applied to the metals industry and process automation. The so-called "Intelligent Mill" is the natural evolution of the company’s consolidated know-how and undisputed leadership in the fields of mini-mill and turnkey plants. Complete and structured data collection is the basis for real-time analysis and process optimization in terms of quality, efficiency and easy maintenance. A centralized repository of information is possible thanks to the strong interconnection between process control system architecture and intelligent sensors, together with dedicated software tools leading to an intuitive approach to data analytics.

Oct 1, 2019

By Raíza da Silva Juvenal, Suelen Silva Rocha, Artur Ângelo Alcântara de Assis, Jorge Luiz Valença Mariz

Um estudo de viabilidade econômica deve considerar parâmetros e incertezas inerentes a um projeto para produzir resultados econômicos consistentes, fornecendo ao investidor uma ferramenta de tomada de decisão. O presente estudo objetivou efetuar inicialmente a avaliação econômica convencional do cenário realista de uma mineração de agregados em fase de implantação localizada em Pernambuco, cujo Valor Presente Líquido (VPL) obtido foi R$ 24.006.309,20, o que representa um resultado positivo. Através da metodologia de Monte Carlo foi efetuada uma análise de risco considerando incertezas em 100.000 cenários, nos quais nove variáveis assumiram valores estocásticos dentro dos domínios definidos, produzindo assim uma distribuição estatística do VPL ao invés de um único número, sendo ainda efetuada uma análise de sensibilidade para identificar e quantificar as variáveis que mais impactam no resultado da avaliação. Por fim, os dois fatores mais influentes identificados na análise de sensibilidade inicial foram isolados e submetidos a uma nova análise de risco em outros 100.000 cenários. Foi concluído que o projeto é economicamente viável e que a probabilidade de gerar lucro aos investidores é de 99,77%, embora a probabilidade do VPL ser igual ou maior que o previsto pelo método convencional seja de 49,98%.

Oct 3, 2019

By Enrique Francisco Somolinos Garcia-Morales

In this paper we will discuss the benefits of a very innovative way of introducing MgO in the blast furnace operation through the sinter, using mini lumps of dunite. By changing the traditional way of using an MgO bearing material in fines form (particle smaller than 5 mm), most of the MgO inserted material behaves as inert during the sintering process, with the effect of having the following parameters (among others) improved: productivity at the sintering bed, permeability inside the blast furnace, energy consumption, stability of the operation.

Aug 1, 2018

By Javier Martinez Rubio

In this paper we will discuss the benefits of a very innovative way of introducing MgO in the blast furnace operation through the sinter, using mini lumps of dunite. By changing the traditional way of using an MgO bearing material in fines form (particle smaller than 5 mm), most of the MgO inserted material behaves as inert during the sintering process, with the effect of having the following parameters (among others) improved: productivity at the sintering bed, permeability inside the blast furnace, energy consumption, stability of the operation.

Aug 16, 2017

By Jesús A. Carlos Cornelio

Since their discovery in 1991 Carbon nanotubes (CNTs) have attracted much interest due to their remarkable mechanical, thermal, electrical, chemical and optical properties. In connection with their mechanical properties, CNTs have been studied in various forms for tribological applications including their use as lubricant additives for oil and water. In this paper the tribological properties of CNTs (SWCNTs and MWCNTs) when used as lubricant additives are studied under rolling-sliding conditions in a twin-disc testing machine. The tests were performed using 5% of creepage and pressures of 0.8 GPa and 1.1 GPa. Used functionalized nanotubes were modified with carboxylic acid ultrasonically dispersed at different concentrations (0.01, 0.05%). The results indicated that the presence of carbon nanotubes leads to a decrease in both friction coefficient and wear rate for both systems studied (oil and water).

Jul 31, 2018

By Maycon de Almeida Gomes

Fiber reinforced polymeric composites have received widespread attention in the past four decades because of their high specific strength and modulus. In particular, research works have disclosed the potential advantages associated with the use of lignocellulosic fibers as the reinforcing phase in polymer composites (2-3). Among various natural fibers, pineapple leaf fibers exhibit excellent mechanical properties. The main chemical constituents of pineapple fibers are cellulose (70–82%), lignin (5- 12%) and ash (1.1%). The superior mechanical properties of pineapple leaf fibers are associated with their high cellulose content (6). This work aims to make the analysis of the Izod impact energy against volume fraction of palf fibers of epoxy composites reinforced with PALF. The fibers were incorporated into the epoxy matrix with volume fraction from 0 to 30%. After fracture the specimens were macro photograph analyzed.

Aug 16, 2017

By Gerhard Richter, Norbert Asamer, Gerwald Decker

At various stages during their manufacturing processes - from casting to finishing before delivery - semi-finished steel and special alloy products must be cut and surface-treated as well. The requirements for the individual conditioning steps, however, can be quite different. For example, the work piece can be hot, warm or cold. At any rate, the product must always be perfectly prepared for the next manufacturing step - reliably, in the shortest-possible time and at the lowest-possible cost. For cutting and grinding, BRAUN has developed innovative technologies and highly flexible, tailor-made solutions which meet these requirements in the most optimal way. In particular, BRAUN’s cutting and grinding technologies can also be used for large-scale products.

Oct 1, 2019

By Ulrich Sommers

The Intelligent Furnace (I-Furnace) by SMS group is a smart furnace process and production optimization model. The combination of various tools leads to an optimized heat treatment and production process. It combines a mathematical/physical model to control the furnace with EMG’s IMPOC system for online strength measurement and a newly developed annealing microstructure model to predict material properties. This paper reports about the revamping of an existing galvanizing line, where a mathematical/physical control model has been implemented in combination with an online quality measurement system. This way, the process improvement of continuous galvanizing lines and the quality management of a range of steels including AHSS will be demonstrated. Furthermore, it gives information about the development of the annealing microstructure model to predict material characteristics. Eventually, the I-Furnace will be presented according to the current development and reference status.

Oct 30, 2017

By Emanuelle Garcia Reis, Gustavo de Sousa, Rodney Pardo Alves

Gerdau Ouro Branco´s plate mill started the operation in 2016 with high level technology. In general, national and international plate markets are every day more rigorous about final product quality. Suppliers must be aware about dimensional accuracy, surface quality and flatness of the plates, independent of the quality standards. To guarantee the best service to this increasingly demanding and competitive market, it is extremely important to guarantee the original project conditions executing the right maintenance of the rolling mill main components. In order to maintain the product quality and avoid the production and maintenance cost increase, it is important to find ways to control the mill and the main process variables, through daily measurements of the equipment performance. This paper aims to present the influence of the main equipment variables that affect the mill operational stability and how to control and evaluate the mill performance.

Oct 1, 2019

By Alisson Paulo de Oliveira, Altair Lucio de Souza, Jacson Morais Borges, Cleiton Arlindo Martins

A customized version of the Microsim-PM software for one Steckel rolling mill was built and adapted for specific mill parameters. The focus of this study is to use this model, which predicts the austenite grain size distribution evolution during rolling, to understand and quantify metallurgical issues happening during hot rolling. This will allow the steel mill to optimize the rolling process and chemical composition before the first industrial trial. Materials rolled for final thicknesses of 4.75, 6.30 and 12.5 mm of a carbon manganese steel and a microalloyed steel were selected to tailor the equations used by the model and to accurately reproduce the reality of the Steckel mill. This paper analyses the results from the customized model and compares them to mill data and final microstructure. Measured and predicted Mean Flow Stress (MFS) values are compared. After rolling, the material is subjected to accelerated cooling using laminar cooling. These cooling curves obtained from mill data are also considered to analyze the final microstructure characterized for all the cases using EBSD. The quantification of the microstructure allows for a better understanding of the relationship between chemical composition, process parameters and mechanical properties.

Oct 1, 2019

By Andrea Pezza

The steel market is experiencing a difficult conjuncture: on the one hand steel producers minimize their investments while optimizing their over- production, on the other hand suppliers reduce their internal human resources and capacity in order to overcome the instability of the new era. A return to the steel production levels of the past is not expected in the short term. Research, development and plant concept optimization is one recipe to drive the future of the steel business. This article describes a new concept for a VOD plant developed as a result of thorough investigation and assessment of all possible solutions. A joint and tight cooperation with the final customer was necessary to reaching important results. This article consists of the contributions from the plant suppliers in terms of their experience and feedback, as well as the final user’s. The final customer, voestalpine Giesserei Linz GmbH, and the plant supplier, Primetals Technologies, are both worldwide players and highly focused on reaching best quality and innovation.

Oct 30, 2017

By Paul Riches

Today’s steel producers face the dual challenge of ensuring on-time delivery and ever demanding product requirements, while also running a lean operation. Every day the management of a long rolling plant requires continuous optimization of both operating and business practices. Imagine a long rolling facility, where individual pieces of equipment communicate with each other, where sensor information can be used not only for control purposes but to also monitor the condition of the equipment, where models are used to verify the process is within working limits and the equipment raises alerts to operators when it requires maintenance! Utilizing the ongoing evolution in technology though data collection, communication, internet of things, control techniques and smart sensors, there is now more information available than ever before. The collection and analysis of this information will both advance control and monitoring of plant performance; revolutionizing long rolling mill plants worldwide and optimizing the entire value chain, along with improved and more flexible production.

Oct 30, 2017

By Rafael Abreu Fraga, Carlos Noberto Paula da Silva, Emanuelle Garcia Reis, Daniel Bojikian Matsubara

Since 2016 Gerdau Ouro Branco has been producing steel plates of various qualities and grades. However, it was not until 2018 that the first plates produced by accelerated cooling process were made available for external testing, in this case for large diameter UOE pipes manufacturing. Recent line pipe and OCTG specifications are showing that the oil and gas market still consumes regular API grades, such as X60, X65 and X70, however with increasing wall thicknesses, reaching values up to 1.5 inches. These specifications also demand longitudinal and transverse tensile guarantees and drop weight tear tests in temperatures as low as -40°C. Projects with these types of mechanical properties present process requirements as challenging as those necessary for higher API grades in lower thicknesses. This paper shows the steel design concepts and rolling routes for achieving the necessary properties for X70 steel plates in 28.15 mm. The microstructural features were also investigated and associated with the production process and the tensile and toughness results. Finally, challenges such as tensile anisotropy and DWTT abnormal fracture are presented.

Oct 1, 2019

By Rodrigo Fina Ferreira

This paper presents a mineral liberation study on two iron ore samples from the Quadrilátero Ferrífero, in Brazil: compact itabirite of low-grade metamorphism (CI) and friable itabirite of high-grade metamorphism (FI). The quartz liberation spectrum for both samples have been obtained through QEMSCAN analyses, carried out for several comminution degrees, to compare the liberation characteristics and to evaluate the evolution of the quartz’s liberation degree after fragmentation. The results have shown significant differences in liberation spectrum between the itabirite samples studied. The liberation process of FI was easier than of CI, due its high porosity and larger crystal size compared with CI, which has shown more complex mineral assemblages with low porosity and smaller crystals. The quartz liberation spectrum has shown that grinding at P95 of 0.210 mm for the FI sample, and of 0.045 mm for CI sample, should result in satisfactory liberation for subsequent concentration step.

Aug 1, 2018