Optimization of parameters and modes of grain grinding by additive convolution method
Автор: Filonova N.N., Sadygova M.K., Kirillova T.V., Kanevskaya I. Yu.
Журнал: Вестник Красноярского государственного аграрного университета @vestnik-kgau
Рубрика: Технология продовольственных продуктов
Статья в выпуске: 7, 2020 года.
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The research objective was to optimize the parameters and the modes of grinding of grain of a payza for receiving quality flour. The research problems were receiving the flour from payza grain at various parameters of dragging, determination of the quality, the optimization of the parameters and the modes of a grinding of grain of payza by the method of the regression analysis. As the object of the research the culture of payza which on chemical composition and nutrition value was close to the grain of chumiz and sorghum sugar was chosen, but is much cheaper. In the research payza variety Gotika of the grain grown up in the conditions of Saratov Region in educational farm of FSBEI HE Saratov SAU named after N. I. Vavilov RPU Volga Region located in Engelsky municipal area was used. The method of additive convolution optimized parameters and the modes of grinding of grain of payza. The flour from grain of payza was received by grinding in the laboratory mill of Quadrumat®Junior. For the optimization of technological parameters of grinding of grain of payza regression models of the second order were constructed, using orthogonal central composite planning (OCCP). The humidity of the flour was determined in accordance with State Standard 9404-88, the flour whiteness - by the Beliznomer Blik-P3 device in accordance with State Standard 26361-84 in Technical and Chemical Laboratory of the Chair of Technologies of Nutrition of FSBEI HE Saratov SAU named after N. I. Vavilov. On the indicators of the flour exit, the humidity and the whiteness of the flour were constructed mathematical models of the second order. First of all for the analysis of the surface of the response complete factorial experiment was based. The problem of multicriteria optimization by method of additive convolution was transformed to a one-criteria task. Following the results of the analysis of the obtained data for receiving qualitative flour from payza grain parameters and the modes following: optimum humidity of grain was 14 %, dragging duration was 8 hours.
Flour from payza grain, grain moisture, flour whiteness, orthogonal planning, mathematical model of the 2-nd order, central compositional planning
Короткий адрес: https://sciup.org/140250680
IDR: 140250680 | DOI: 10.36718/1819-4036-2020-7-181-188