Modeling of iron ore pelletization using 3 ** (k–p) factorial design of experiments and polynomial surface regression methodology

Statistical Modelling and Optimization of Fermentation Medium for Lincomycin Production by Streptomyces lincolnensis Immobilized Cells

“…The measure of impact of each factor has on the response in decreasing order was obviously illustrated by the Pareto chart which illustrates the order of significance of the variables (media components) influencing lincomycin production in PlackettBurman design. The statistically significant factors indicated by their long columns are crossed by a line confirmed their large influence on the production 12 . Among the 10 variables, the linear effect of soluble starch demonstrated the better significance by 45.726 % followed by dextrin, malt extract and (NH 4 ) 2 SO 4 showed effects of 29.183 % , 2.486 % and 17.07% respectively.…”

Análise Da Influência Das Características Granulométricas Na Permeabilidade Do Leito De Pelotas Através Do Método Das Redes Neurais Artificiais

“…A aglomeração de minério de ferro surgiu com a necessidade de tornar mais eficiente o processo de produção de matérias-primas ligadas à indústria do aço, usando a parte mais fina gerada durante o processo de extração e subsequente beneficiamento do minério, transformando assim, um material rico em ferro, que, até então seria um desperdício do processo, em um produto com alto valor agregado [1]. A pelota de minério de ferro é um aglomerado de forma aproximada de uma esfera com algumas propriedades notáveis como: diâmetros distribuídos entre 9 mm e 15 mm, alto teor de ferro (em torno de 66%), características mineralógicas uniformes, alta resistência mecânica, baixa tendência à abrasão e bom comportamento durante o transporte [2].…”

Use of an Artificial Neural Network in determination of iron ore pellet bed permeability

“…The agglomeration of iron ore appeared with the necessity to optimize the production process of raw materials connected to the steel industry, using the fines portion generated during the mining process and subsequent ore processing, thus transforming it into an iron-rich material, which until then would be process waste, thus becoming a marketable product with a higher value (Thella and Venugopal, 2011). The iron ore pellet is a cluster of approximately sphere shaped particles with some remarkable properties as: particle size distribution between 9 mm and 15 mm, high iron content (around 66%), uniform mineralogical properties, and high mechanical strength, along with a uniform, low tendency to abrasion and good behavior during transport (Meyer, 1980).…”