Steel Authority of India

About: Steel Authority of India is a based out in . It is known for research contribution in the topics: Microstructure & Ultimate tensile strength. The organization has 797 authors who have published 661 publications receiving 9958 citations. The organization is also known as: SAIL.

Computer-aided roll pass design for continuous billet mill

Abstract: A mathematical model has been developed for computing the geometrical dimensions of square-diamond square pass sequence for a continuous billet mill. The model is based on derivation of shape and size factor from the geometry of the pass taking into account pass filling, pass rounding etc. Using these factors and a basic equation of spread for flat rolling, a governing equation incorporating angle of diamond and reduction in consecutive passes has been formulated. Newton’s substitution method has been used to solve the equation. With known reduction between consecutive passes, geometrical dimension of square and diamond passes are computed. A model has been used to calculate pass design of a finishing train of a continuous billet mill producing 60 mm square billet from 120 mm square bloom. The elongation values have been optimized by varying the apex angle of diamond. A close agreement between computed and actual values shows the validity of the model.

Application of Machine Learning Algorithms for Prediction of Sinter Machine Productivity

Abstract: Iron ore sinter machine productivity is one of the most important techno-economic parameters of an integrated steel plant. It depends upon the composition of different constituents of sinter like coke breeze, iron ore fines and flux which are agglomerated to produce sinter for blast furnaces. It is difficult to assess the interdependence of these constituents and their effect on sinter productivity from physical experimentation. In this paper, machine learning and data analytics approach is introduced to predict the sinter machine productivity. Industrial data of sinter machine productivity has been collected from an integrated steel plant. A linear regression model was first developed to predict sinter machine productivity with the composition of constituent materials of the agglomerate as model inputs. Artificial neural network (ANN) model correlating the input parameters with sinter productivity was also developed. It is found that the ANN model is agreeing well with measured sinter machine productivity accurately. Sensitivity analysis was carried out to identify major factors affecting sinter productivity.

Further algorithmic improvements of adaptive H-refinement for 3-D transient problems

Abstract: Over the past year we have developed an adaptive finite element scheme for transient problems in 3-D [1]. The classic h-enrichment/coarsening is employed in conjunction with a tetrahedral finite element discretization. This initial capability has been improved further. For typical shock calculations, mesh adaption takes place every 5-10 timesteps. This implies that every stage of the adaptat ion process must be thouroughly optimized. The two areas that required the most intense optimization efforts were: a) Error indicators for grids with large local variations of element size and shape, and b) Faster construction of the new mesh.

In situ observation of martensitic transformation in air-hardened 6Cr−1Mo−1C steel through hot-stage microscopy

Abstract: Presentation des resultats concernant la formation de la martensite athermique dans l'acier refroidissant a l'interieur du microscope

Non-Isothermal Reaction Kinetics Study of MgO-C Refractories with Added Low-Ash Consent Graphite

Abstract: Magnesia-carbon (MgO-C) is widely used in metallurgical furnaces due to its excellent slag thermal shock and corrosion resistance properties Carbon is non-wettable by slag, which protects MgO, but oxidises in the presence of oxygen An experiment was undertaken to investigate the oxidation resistance of MgO-C in non-isothermal conditions through evaluation of kinetic laws MgO-C samples with 2,8% ash content graphite and resin binder were prepared and their oxidation behaviour with respect to weight loss was determined in a specially designed furnace Samples were fired from 700 to 1400°C at heating rates of 3, 5, 7 and 9 K per minute Their continuous weight loss was measured at 50 K intervals In order to find the mechanism(s) associated with oxidation of MgO-C samples, a reduced time ‘∅’ plot analysis was carried out for the samples For all temperatures and samples, the initial oxidation mechanism was observed to obeya chemical reaction-controlled second order chemical mechanism followed by diffusion processes at higher temperatures