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

机译:大豆油和甘油在动物饲料生产中的应用,ANN模型

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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).
机译:在过去的几十年中,饲料生产中的日粮制备已发展为更复杂的技术操作,其中包括添加不同的液体。从动物油和甘油到更昂贵的液体形式产品(例如酶,调味剂,氨基酸,维生素等),当代动物饲料生产中使用了各种各样的液体。在本研究中,观察到饲料生产中添加了液体,其特定目的是研究喷雾系统,以便更好地了解液体(例如大豆油和甘油)对饲料生产的影响。确定甘油和大豆油的喷雾喷嘴的分散角,作为饲料生产过程中液体均匀施用的指标。使用双流体喷嘴完成材料的分散。将人工神经网络(ANN)的性能与实验数据进行比较,以开发出快速,准确的色散角预测方法。 ANN模型显示出较高的预测准确性(r2 = 0.945)。

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