The Optimized Analysis Of Wheat No-tillage Planter Impeller-blower Based On Multi-objective QPSO Algorithm

The core component of straw-smashing back-throwing type wheat no-tillage planter is impeller-blower.Although the impeller-blower possesses some merits,such as simple construction,reliable work,convenient maintenance and adjustment and low manufacturing cost,there are certain shortcomings in impeller-blower,for instance,excessive power consumption,low delivery efficiency and easy jam.Therefore,the structure and working parameters of the impeller-blower are optimized in this paper based on the above mentioned disadvantages.The impeller-blower is optimized by the correspondingly theoretical analysis for the motion of the impeller-blower.The main contents of this thesis are given as follows:(1)The equation,consisting of the consumed power,specific power consumption and efficiency of the straw-smashing back-throwing type no-tillage planter,is established by analyzing the motion and force situations of the impeller-blower,by which the optimally structure parameters can be ensured.Further,the optimal function is achieved where the specific power consumption and impeller volume are regarded as the objective and the structure parameters are served as the variables.(2)The variance analysis of the experimental data on the specific power consumption and throwing speed of the impeller-blower is performed by employing the Design-Expert software.Moreover,the influence extent of the impeller rotating speed,feed quantity and the pipe section surface on the specific power consumption is studied,and the mathematical models of the specific power consumption and throwing speed between the above working parameters are built with the aid of the least square method.(3)The quantum particle swarm algorithm based on the target weighting is introduced to improve the weight coefficient.After that,the above functions are solved by the revised technique.As a result,a series of Pareto optimal solutions can be obtained.It is worth noting that the each solution corresponds to a combination of variable parameters.Moreover,the feasibility of the working parameters and structure parameters of the impeller-blower is proven by utilizing comparing the results and the experimental data of the specific power consumption and throwing speed from a Pareto optimal solution.Then,the established function on the structure parameters of impeller-blower is optimized to guarantee that an optimal combination of structure parameters with respect to the specific power consumption and impeller volume can be achieved.(4)Finally,the stress and strain analysis is carried out for the improved impeller with the help of ANSYS.And then,it follows from the corresponding checks that both of the improved strength and stiffness of the impeller satisfy the requirements.The feasibility of optimizing the impeller-blower is proved from the theoretical point of view.Meanwhile,it also provides a new idea for the optimization design of large agricultural machinery structure and working parameters.