Electromagnetic Vibratory Planter’s Seeding Speed Numerical Analysis And Parameter Optimization

Rice is the largest grain crop in China, but the level of mechanized planting is very low. In2010, mechanized planting accounted for only about20%of the whole rice planting. At present, Ministry of Agriculture has taken standardized rice seedlings as one of the emphases for advancing agricultural mechanization, but the manually seedling method can not meet the needs of high-speed rice seedlings. As a result, popularization of high-speed transplanter is blocked. Thus, promotion of seedlings mechanization and improving the quality of seedlings become the focus and difficulty of the mechanization of rice production. The electromagnetic vibrating rice planter is a sort of seeder suitable for seedling mode of mixing with slurry in southern region of China. However, the factors that can influence the performance of sowing are various and a lot of factors’ mechanism of the influence are unknown. Therefore, it is very significative to carry out the research of planer’s mechanism of the influence and optimize the electromagnetic vibration rice planter’s parameters, so that we can improve the electromagnetic vibration rice planter’s design and promote the level of Chinese rice planting mechanization.Through the method of dynamics analysis, this paper establishes the mechanical and mathematical model of the electromagnetic vibration rice planter. Taking the mathematical model as a test platform, with fair consideration of influencing factors including exciting force’s frequency f, the ratio of orbit’s fundamental frequency and exciting force’s frequency ω1/f, the ratio of frequency aroused by translational speed and exciting force’s frequency Ω1/f, the leaf spring’s stiffness k1, the ratio of isolation rubber’s stiffness and the leaf spring’s stiffness k5/k1, this paper designs and carries out the test. According to the test results, this paper establishes two regression equations that reflect the relation between the test factors and performance metrics and finally achieves an optimum combination of factors:f=38Hz,ω1/f=3.5298,Ω1/f=0.0037, k1=126696N/m,k5/k1=11.4519. Mathematical model calculations show that the average seeding speed is18.01mm/s and the seeding speed’s coefficient of variation is only3.31%if the planter adopts this optimum combination of parameters.