Thearticlegives the calculationdiagrams of the sieve modules for grain cleaning machines whichallow to analyze the operation of the grain cleaning machines, and the trajectory of materials moving within the machine. A generalized mathematical model of the functioning of air-sieve machines and sieve modules is presented. Based on the regression equations adequately describing the processes occurring on the sieves, the simulation of the calculation schemes of the sieve modules of grain cleaning machineswas carried out.The modeling results, such as the purity of the grain material, the completeness of the separation of impurities, the content of weed and grain impurities are presented in the form of dependencies, allowing them to be analyzed and selected the most efficient grain cleaning machine for the production line of seed material.
Cleaning and sorting of agricultural materials are the essential processes in agricultural production. Many researchers have carried out important work on the study of optimizing the parameters of grain cleaning machines. One of these parameters, affecting the quality of machine, is the grain material outflow characterized by patterns of input velocities into the separation zone. The article describes the advantages and disadvantages of methods for determining the rate of grain material outflow expiration. Here is shown the model of heterogeneous bulky environment of outflow from the hopper with a lateral outlet in a software complex EDEM Simulation. The analysis of the obtained results with the use of contact model Hertz-Mindlin (no slip) with RVD Rolling Friction has demonstrated a significant sparseness of grain material outflow velocities in a steady state of 0,61 m/s to 0,72 m/s with an average 0,687 m/s for the specified parameters of a grain cleaning machine. The described method can be used to solve the problem of determining the rate of expiration of grain material in the design of grain cleaning machines with the subsequent optimization of their operation.
Crops play a vital role in our daily life, as they represent the backbone of all life on earth and an essential resource for human food, feed grain, oil, and fiber for local consumption and a major component of export trade in many countries, leading to its increasing demand all over the world. Precision planting is the effective method to rise crop yield. To meet the agricultural requirement of precision planting, various types of different precision seed planters have been developed. However, because of the difference of farm scale, geographical environment, crop type and economic status among different countries, types of seed planters are various, and the technique involved are at different levels. This paper analysis and compare of some typically precision seed planters currently available in the world. Detailed characteristics have been provided for some typical precision planters and comparisons were made as to their suitability under working conditions. This allows the smallholder farmers to assess and select the appropriate precision seed planter that corresponds to the potential and characteristics required, for example, planting seeds, the possibility of adding fertilizer during cropping, the number of rows and the horsepower required, controlling the seeds rate, spacing between seeds in the same rows in addition to more other options.
Introduction. Sesame crop is one of the most important export crops in many countries around the world, especially in Africa. To meet the agricultural requirement of precision planting, various types of precision seed planters have been developed. Numerous studies were carried out to study the optimisation of the parameters of the precision planting. One of these parameters, affecting the quality of the precision seeder, is the grain outflow from the seed metering device. Materials and Methods. In order to maintain good continuous performance of an oscillating seeder, it is important to monitor seed flow in real-time and adjust oscillation parameters automatically. Existing research methods, such as prototyping and monitoring the process using a high-speed camera, by reason of the random movement of particles, do not allow obtaining sufficient data to understand trajectories and velocities of particles and existing equations for particle motion when simulating the sowing process do not allow taking into account the interaction of particles that having various shapes, rolling and sliding friction coefficients, and the elastic modulus of particle materials and a working body. In this study, the outflow rate of sesame seeds in an oscillating seed metering device was modeled using the simulation method based on the discrete element method. The aim of this study is to create a simulation model of an oscillating-type sowing planter using the sowing sesame seeds as an example for evaluating the effectiveness of this model, and the possibility of further optimization and prediction of sowing seeds with this device. Results. The analysis of the results showed that during the simulation, the sowing rate of sesame seeds when leaving the oscillating seed metering holes has significant differences in number and direction. The results of the modeling process in this study showed that when opening a hole in the oscillating seeder, a number of sesame seeds from 0 to 4 were coming out of it. The resulting model allows monitoring the behavior of each particle of a sesame seed, analyzing its trajectory, speed, and forces acting on it at any one time, and varying the parameters to obtain the dependence of uneven seeding on the kinematic and geometric parameters of the device. Discussion and Conclusion. The obtained simulation results provide an effective method for predicting the consumption of sesame seeds from the oscillating seed meter, which serves as the basis for optimizing the kinematic and geometric parameters of the oscillating sowing device in order to increase its efficiency. This model is universal and can be adapted to sow other crops.
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