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By Bruno Alves Resende, Antonio Adel dos Santos

Temperature, microstructure and dimensions are the main material parameters to be controlled during hot rolling of steel. Although thermal mathematical models have long been developed and applied for hot strip rolling, each Hot Strip Mill (HSM) must have its own model adapted to its facilities. Thus, a mathematical model for temperature evolution during rough rolling has been developed for the Usiminas HSM at Ipatinga Plant. The model achieved a high level of accuracy, which was assessed by comparing measured values of temperature at the hot strip mill entry with the calculated ones, the difference ranging from 9°C to 17°C. Application examples have shown that the slab can be occasionally stopped before start of rolling for as long as a couple of minutes without compromising its further processing. On the other hand, if the transfer bar stops after rough rolling even for short time, further processing in the HSM can be hindered, due to excessive temperature drop. In case of such abnormal line stop, the model can be used as a tool for decision-making to either continuing the planned rolling schedule or to changing the route, thus improving the overall rolling process.

Oct 1, 2019

By Renata Cristina Teixeira

The lubricant oil is a complex mixture of different basestocks and additives. Engine oils evolved from the use of pure mineral basestocks back in the early years of automotive industry to the advent of synthetic, fully formulated, low ash lubricants. This evolution was driven by a number of factors, such as new engine designs, extended durability needs, increased fuel economy needs, environmental concerns, feedstock prices and availability and legal issues. This paper uses technology prospecting on literature and patents databases to allow an investigation on the historical evolution of engine oils. Main basestocks (mineral, hydrotreated, polyalphaolefins, esters) and additives (antioxidants, antiwear, friction modifiers, detergents and dispersants) are characterized according to their research effort. Technology prospecting data is crosschecked against the evolution of engine oil classes, allowing an analysis of how the main drivers push the development of lubricant oil quality. A research effort was identified in late 1990’s until mid-2000’s and related to the adoption of chemical limits for lubricants. Different patterns for the articles and patents publication account for the high value technological knowledge has in this industry. Technology prospecting is seen as a useful methodology for the understanding and forecast of lubricant technology movements.

Jul 31, 2018

By Edgar Ivan Castro Cedeño

En la producción de aceros limpios el control inclusionario es crítico para la obtención de un producto que cumpla con los requerimientos de calidad. El análisis de la distribución de tamaño de inclusión mediante modelos estadísticos permite estimar la incidencia de inclusiones en el producto solidificado a partir de mediciones tomadas en muestras relativamente pequeñas. En seis coladas de acero bajo carbono desoxidado con aluminio se tomaron muestras de acero a lo largo del procesamiento en horno olla y colada continua. Las muestras se prepararon para estimar mediante análisis metalográfico los tamaños de inclusión. Los datos de tamaño de inclusión se analizaron mediante modelos estadísticos de valores extremos, se hace una comparativa entre la distribución Gumbel (que forma parte de la norma ASTM E-2283) y la distribución Generalizada de Valores Extremos (GEV). Mediante una prueba de hipótesis con el estadístico Anderson-Darling, análisis de cuantiles y con la función de supervivencia se demuestra que la población inclusionaria se describe de una mejor manera con la distribución GEV. Finalmente se da un estimado de la incidencia probable de inclusiones en el producto solidificado.

Aug 16, 2017