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In the past few decades the diet preparation in feed production has evolved   towards more complicated technological operations, which include different   liquid addition. A wide scale of different liquids is used in contemporary   animal feed production, from oils and glycerol to more expensive products in   a liquid form, such as enzymes, flavourings, amino acids, vitamins and   others. In the presented study the liquid addition in feed production was   observed, with a specific goal to investigate the spraying systems in order   to better understand the effects of fluids, such as soybean oil and   glycerol, on feed production. The dispersion angles of spraying nozzle for   glycerol and soybean oil were determined as an indicator of the uniform   application of liquids during feed production. Dispersion of the material   was accomplished using the two-fluid nozzle. The performance of Artificial   Neural Network (ANN) was compared with experimental data in order to develop   rapid and accurate method for prediction of dispersion angle. The ANN model   showed high prediction accuracy (r2 = 0.945).

Application of soybean oil and glycerol in animal feed production, ANN model