Seed metering procedure of metering device was a key factor to affect performance of precision seed metering device. Based on analysis of seed holding volume of metering scoop, relationship between the seed holding volume and structure parameters of the metering scoop was established, and beginning and ending angles of seed clearing during the seed metering procedure were determined. Simulation analysis of seed metering procedure with different parameters of the metering device was carried out by mean of discrete element method to identify the influences of metering scoop parameters on the performance the metering device, and suitable range of structure parameters of the metering scoop were investigated. Finally, the reasonability of design parameters of the metering scoop for experiment usage was verified.
Discrete element method is an important technical tool for analysis of motion law of granular material. Based on the principle of discrete element method, using linear viscoelastic contact mechanics model, simulation calculate for discrete element simulation was developed by MFC. Through the combination of arc modeling a geometric model of the different core seed were built, and simulation of the work process of corn precision metering device was conducted. Suitability of parameters on working procedure of the metering device was analyzed.
To research spade soil opener work performance, based on two-dimensional discrete element method, using the secondary development of CAD technology, by soil opener CAD model to construct a two-dimensional discrete element analysis model soil opener using MFC programming techniques developed two dimensional discrete element simulation system based on building a soil discrete element calculation model of the soil opener process simulation, presented on a computer spade affect the dynamic behavior of the soil, has been the destruction of soil flow deformation achieve spade Soil computer-aided design, provides a new method for the analysis into the performance of the opener, and provide a reference for the design of the cut soil components.
With the rapid development of electric vehicles (EVs), intelligent charging stations will surely become the focus of development. However, the disordered charging of electric vehicles will cause unbalanced resource utilization. Therefore, it is necessary to study the scheduling problem of electric vehicles in charging stations. In this paper, we propose a new electric vehicle dispatching method to realize balanced utilization of resources and high economic benefits. We model the multi-charging station pricing strategy problem as a non-cooperative continuous strategy game with an integrated objective combining charging cost and charging station capacity. Then the existence of Nash equilibrium is proved, and we combining particle swarm optimization with iterative search method to solve the equilibrium point. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.
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