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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 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 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 Mariano de Córdova

In this paper, the coke oven life prolongation technology is reviewed from different points of view: blend design; battery heating; operational control; refractory maintenance. A summary of major inspections in critical areas, for the evaluation of the battery conservation situation is presented. A discussion on tools for the diagnostics of the degree of damage is carried out.

Aug 16, 2017

By Pierre Montmitonnet, Yukio Shigaki, Jonatas Mezêncio Silva

A precise roll stack deformation model of a flat rolling mill is crucial for strip profile assessment as it depends strongly on the roll’s deformation. The need for more and more advanced products with stringent both geometrical and mechanical tolerances (e.g., Advanced High Strength Steels – AHSS), with thinner and harder steel strips, demands more advanced simulation models. The present paper addresses assumptions made in Finite Element Method (FEM)-based roll stack models on some important, yet barely discussed features: What is the impact on precision of the simplifications such as symmetry and anti-symmetry? Should roll neck boundary conditions in bearings be considered as fixed or simply supported? In this paper a hybrid model developed by the authors for a general flat rolling mill is used to assess those questions. This model runs much faster (100x in some cases) than a whole-FEM-modeled 6-high rolling mill with the elastoplastic strip deformation, thanks to its simplifications adopted. This model assumes a steady state rolling condition, and the roll stack is modeled with tridimensional finite elements, and the loads are calculated via a slab method adopting a plane strain state for the strip deformation (especially true for thin strips). An industrial 6-high cold rolling mill is modeled and results on the application of symmetries and different boundary conditions on the roll’s necks are presented. It is concluded that the application of symmetries and anti-symmetries for the 6-high rolling mill is possible for thin strips. And the way the necks are modeled does not impact on the final strip shape, though it influences the magnitude of the roll’s displacement. The coupling of the strip with the work roll applied assuming a symmetry plane of the arc of contact has little influence on the strip shape.

Oct 1, 2019

By Marjorie Benegra

This study aims to compare the wear resistance assessed in rubber wheel abrasion test of nickel aluminide coatings deposited by for Plasma Transferred Arc (PTA) and High Velocity Oxigen Fuel (HVOF) manufacturing, using the same raw material. A nickel aluminide powder was atomized and deposited on 316L steel plate substrate. After deposition, some specimens were submitted to a heat treating (1200 °C for 24 h followed by 760°C for 24 h). The coatings deposited using PTA developed different microstructures due to the incorporation of substrate elements, its performance was better than the HVOF coatings, although their Vickers hardness was similar. After heat treating, a significant variation in hardness and wear resistance was observed. For PTA specimens, there were decrease in hardness of 35%, while for HVOF ones this drop was approximately 20%. Nonetheless, the effect of thermal exposure in wear resistance was quite different: an increase of 21% was observed for HVOF coatings, while a reduction of 20% occurred in PTA ones. Microstructures modifications in PTA coatings were significant for their wear resistance. On the other hand, the reduction of porosity and sintering were responsible for a better performance of heat-treated HVOF coatings.

Jul 31, 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 Thomas Germershausen

Worldwide BOF-based steel plants are faced with demanding environmental requests and rising energy costs. For cleaning of primary gases from the BOF the scrubbing technology is worldwide adapted. For wet-scrubbers there is a direct relation between pressure loss and achievable clean gas dust content. Subsequently main energy consumers within Gas Cleaning Plants are the driving fans. To evaluate actual performance and to identify optimization measures extensive field measurements at existing Gas Cleaning Plants were performed. The operational results from various BOF plants worldwide will be presented and benchmarked. As a conclusion, advanced control strategies for reduced energy consumption and lower environmental impact were developed and implemented.

Jul 30, 2018

By Moisés Paulo Teixeira

The use of tailings for the synthesis of new materials is a worldwide concern today. This paper approaches the utilization of tailings of soapstone (steatite) in order to produce ceramics. The results show that the addition of soapstone in a ratio over 20% in the ceramic mass has enhanced the bending resistance of the ceramic samples when they were fired at temperatures of 900°C or 1000°C.

Oct 30, 2017

By Hugo M. Checo

Friction-reducing textures for lubricated mechanisms have received much attention since the advent of microtexturing techniques. In this work we consider the piston ring/liner contact, numerically simulating the rings as they slide against a textured liner. This situation has not been sufficiently analyzed because its numerical complexity is much greater than that of texturing the rings. Further, we consider the actual typical geometries of oil-control, wiper and compression rings, under realistic loads and velocities. The results show the possibility of friction reduction when the texture on the liner is properly designed, identifying starvation alleviation as a crucial intervening mechanism.

Jul 31, 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

By Alessandro Marques

Based on a short overview regarding steel defects in the final product, several refractory approaches to maintain or increase steel cleanliness are reviewed in this publication. By applying a ladle to mold approach, one potential to maintain cleanliness is to reduce the probability of air ingress by selection of a suitable slide gate system. Following this path, also the influence of a special configured impact pot is presented to maintain steel quality. Finally, higher productivity as well as cleanliness can be provided by selection of PROIL as a revolutionary product at the casting machine.

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 Nigel Marx

In order to understand (and ultimately to predict) the friction reduction resulting from the use of polymer solutions, the rheological properties of model polymer solutions have been measured over a wide range of shear rates. Both temporary and permanent shear thinning have been observed. By using base fluids of different viscosities it has been shown that permanent shear thinning depends more closely on the shear stress experienced by the fluid than on the strain rate. Hydrodynamic measurements have been made on the polymer solutions using a compliant ball on flat lubricated contact that operates in isoviscous-elastic conditions. The measured friction values can only be predicted with reasonable accuracy if the measured shear thinning properties of the lubricant are taken into account in the hydrodynamic model.

Jul 31, 2018

By Božidar Šarler, Umut Hanoglu

A rolling simulation system has been developed to calculate the macroscopic rate of deformation, stress, strain, and temperature fields by using a novel meshless method. The model is based on two-dimensional traveling slice assumption. The slices are aligned towards the rolling direction. The initial size of the billet, bloom or slab and the geometry of the grooves at each rolling stand, the distances between the rolling stands, and continuous or reverse rolling can be arbitrarily considered. The purpose of this paper is to complement these development by predicting and visualizing also the grain size of steel over the strand cross-section for each position in the rolling mill. The grain size models have been in one-way coupled to the macroscopic calculations. First the critical strain for dynamic recrystallization is being checked. If the calculated strain is higher than that, considering also the time for meta-dynamic recrystallization, dynamic or meta-dynamic grain size calculations are carried out. If the strain is too low then only the static recrystallization is considered together with its required time. Finally, austenite grain size and ferrite grain size are calculated respectively as the steel cools down. The listed physical models are based on collection of empirical relations found in literature. The user of the system is free to choose or create the model he wants with his own parameters. The simulation system has been coded as a user friendly computer application for an industrial use based on C# and .NET framework and runs on regular PCs. The computational time for a rolling simulation is usually less than one hour and can thus be straightforwardly used for optimization of the rolling mill design in a reasonable time.

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 Zou Zhongpping

Under the new normal state, blast furnace outputneeds to be adapted to the market demand, however the limitation in blast furnace output has significant impact on blast furnace operation and is prone to cause inactive furnace hearth and higher fuel ratio. To address such problems, some practices to maintain stable and smooth operation of blast furnace in case of output limitation are proposed based on data analysis philosophy, which allows the blast flow and hence the top pressure to be determined based on the hot metal output, and adequate kinetic energy of blast supply can be assured by adjusting the tuyeres. Matching between the oxygen enrichment and the pulverized coal injection is also proposed based on theoretical flametemperature, and burden distribution cycle calculation method is proposed, whichoffersnew approach for analyzing the change in burden distribution pattern.

Oct 30, 2017

By Paolo Demetlika

In this paper it is shown how the “Zero Operator” concept on the casting floor has been reached by adoption of a standard 6 axis industrial anthropomorphic robot coupled with the most innovative machine vision technology. This has been achieved by automating all the operations related to the ladle and tundish activities, including shroud manipulation, powder addition, ladle nozzle identification, nozzle opening by lancing, temperature measurement and chemical sampling. Q–Robot CAST family products are the result of the successful alliance between industrial robotics and the most advanced technology in process automation. This led, for each production area, to the introduction of flexible automation in dangerous places, even where some degree of human intervention is still necessary. By using anthropomorphic robots, human operators can be reassigned to safer environments. Furthermore, robots are suited to deal with repetitive and labor intensive tasks thus guaranteeing a high process quality.

Oct 30, 2017

By Massimilinao Svetina

In 2010 Danieli & C. S.p.A. put into operation a new Pickling Tandem Mill in Cremona (Italy) at Acciaieria Arvedi, the last Pickling line coupled Tandem Cold Mill (PLTCM) in Europe. The plant was tailor-made to suit the specific requirements of this customer; a very broad range of sizes and grades (IF to AHSS as well as DP and TRIP1000) including ultra-thin hot band can be processed, achieving a total capacity of 1.6 Mt/y. The Danieli & C. S.p.A. Turboflo® process was selected because of its proven efficiency and ability to handle ultra-thin gauges at speeds exceeding 400 mpm in the pickling tanks. All the equipment, i.e. pickling section and rolling mills was provided with the last generation of Danieli market-oriented technologies. Danieli & C. S.p.A. - with the support of Arvedi and feedback from the field - is continuously improving its technical design solutions and optimizing plant operations.

Aug 16, 2017