# Shebanin V., Atamanyuk I., Gorbenko O., Dotsenko N. Determining the optimal parameters of machines for processing the seed mass of vegetable and melon crops

UDC 631.361.8

Shebanin V.

Atamanyuk I.

Gorbenko O.

Dotsenko N.

The article presents a method of mathematical modeling, which is based on a nonlinear canonical distribution of a random vector, to determine the optimal parameters of machines for the separation of seed mass of vegetable and melons. It is presented a block diagram of the procedure for calculating the parameters of canonical decomposition.The method of mathematical modeling was tested in the study of the technological process of separating melon seeds in the experimental setup. There are described third-order mathematical models for purity and seed loss, that presented the technological process of a melon seed separation based on a nonlinear canonical decomposition of a random vector. Using this method allows to obtain mathematical models of technological processes for an arbitrary number of known input parameters that are used to evaluate seed characteristics, nonlinearity order, and stochastic coupling characteristics. The proposed mathematical model allows to take into account the peculiarities of technological processes of seed separation and, as a result, to achieve the maximum quality of division of seeds of melons. There are the described stages of the mathematical modeling method, which is based on a nonlinear canonical distribution of a random vector, to determine the optimal parameters of machines for the separation of seed mass of vegetable and melons. The method is tested on the basis of the technological process of seed separation using an experimental sample of a cylindrical separator. Statistical experimental data processing allows to obtain third-order mathematical models for purity and seed loss, describing the process of separation of melon seeds on a cylindrical machine. The results of the experimental studies confirmed the high accuracy of the proposed method, which can be used to simulate an arbitrary process with stochastic properties. Refinement of the parameters of the working bodies of machines on the basis of advanced mathematical models will facilitate the development of industrial seed production.

Keywords: vegetable and melon crops, seed mass separation, mathematical method, optimal parameters.

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