Testing Stochastic Models for Simulating the Seeds Separation Process on the Sieves of a Cleaning System, and a Comparison with Experimental Data

A common method of analyzing experimental data is to determine the distributional model which best describes the process under study. In this paper, theoretical statistical models discussed by Tarcolea et al. (2008) are corroborated with data for the cleaning system of a combine harvester, data obtained experimentally in laboratory conditions. The purpose of this paper is to illustrate how some of the continuous distributions can be used for describing the variation separation intensity of seeds on sieve length. The Pearson coefficients show that some curves are far from the normal distribution, and better fits can be obtained with other distributions which can describe more adequately different degrees of skewness and peakedness of the curves. The considered probability laws are: normal, gamma, Weibull and beta distributions. The best results were obtained with gamma and beta distributions, since, for example, the values of the correlation coefficient R2 are in the most of the corresponding cases close to 1

CONSIDERATIONS REGARDING THE PRE-CLEANING PROCESS OF CEREAL SEEDS

In order to obtain good results using cereal seed cleaning equipment, it is mandatory for the equipment to operate at maximum capacity, in good functioning conditions, and handled by qualified personnel. Seed cleaning increases seed quality by removing unwanted materials that may also attract certain insects or fungus. Cleaned seed also lower storage costs because only storage valuable material is stored and not straws, soil and other unwanted materials

ESTIMATION ON THE WEAR AND DURABILITY OF THE HEAD OF THE MILLS USING DIFFERENT MODELS

The mathematical model presented in this paper is one of the possible mathematical models to use to estimate the wear and lifespan of the head of the milling cutter, which has an appreciable age and initially modeled a relatively similar phenomenon of aggression or erosion of an entity by a high. The mathematical model of the prey-predator population system, well known in ecology and expressed in a system of differential equations always of the order of AJ Lotka and V. Volterra is successfully applied in other fields: economics, services, prediction of technological evolution, adoption cryptocurrencies, hygiene, communications (security and optimization), medicine, passenger transport forecast, plasma physics. In this wide context of applications, there are also applications used in the paper, of the prey-predator model, Lotka-Volterra, to the interaction phenomenon between the dental milling cutter and the milled material. The application starts from the assimilation of the dental cutter with the predator that extracts material from the body of the milled material, assimilated with the prey. The milling action, the action of the predator, does not remain without negative results for him, the milling material also losing particles. Both parts of this phenomenon cannot grow as a mass, an experimental aspect that turns into an important hypothesi