Regression Analysis of Immersion of Grains in Liquid

Abstract

In addition to grain, the grain heap of rye contains weeds and harmful impurities. Poisonous ergot sclerotia are harmful impurities. Modern grain cleaning machines do not provide the allocation of ergot sclerotia in one technological process by air flow and on sieves. Ergot sclerotia have a density lower than that of rye grain. To create a machine for the extraction of poisonous ergot from grain, practical experiments were carried out on throwing single grains of winter rye of the Falenskaya 4 variety into a liquid with a density of ρzh = 1000, 1090 and 1150 kg/m3. Sodium chloride (NaCl) was used to prepare the solution. The array of the obtained experimental data is presented in the form of histograms by the distributions of the relative frequency of overcoming the surface tension and immersion of the grain in the liquid from the height h of the fall. Regression analysis of the experimental data set was carried out using the SigmaPlot 11.0 software. Regression models are obtained that adequately describe the real process of immersion of grains in a liquid. From the analysis of experiments, it follows that almost 100% of the immersion of grains in water occurs at a height h of at least 43 × 10–3 m and an aqueous solution of salt (ρzh = 1150 kg/m3) − 58 × 10–3 m. Regression models can be used to develop a device for the isolation of poisonous ergot sclerotia by density in an aqueous solution of salt and seed dressing using the wet method.KeywordsGrain materialErgotGrain cleaning machineWinter ryeSurface tension of liquidAqueous salt solution