沈阳农业大学学报2025，Vol.56Issue(3)：116-125,10.DOI:10.3969/j.issn.1000-1700.2025.03.012
基于RSM和CFD的轴流气吸滚筒式排种器型孔负压优化
Optimization of Negative Pressure in MoldHole of Axial Flow Air Suction Seed Metering Drum Based on RSM and CFD
摘要
Abstract
[Objective]To address the issue of poor seed suction caused by low suction negative pressure in axial-flow air-suction seed meters,this study optimizes the structural parameters of key components to increase negative pressure stability and suction efficiency,thereby improving seeding accuracy and operational performance for precision agriculture applications.[Methods]Based on the combination of RSM(Response Surface Method)and CFD(Computational Fluid Dynamics),BBD(Box-Behnken Design)simulation experiment was carried out to optimize the key structural parameters of axial-flow air-suction drum-type seed metering device.The pressure value at the entrance of the mold hole of the test model was numerically calculated using FLUENT software.The obtained data set was imported into Design expert13 software and predicted and optimized by response surface method.The reliability of the prediction results of RSM was verified by numerical simulation test and bench test.Taking tomato seeds as the experimental object,the seed suction performance of seed metering device was tested.[Results]The combination of optimal parameters for the key structure of the axial-flow air-suction drum-type seed metering device obtained is:hole draft angle of of 12.59 °,fan blades thickness of 2.26 mm,and fan blades number of 9.Then the objective function predicts that the negative pressure at the inlet of the orifice was 64.61 Pa.The suction seed singling rate of tomato seeds was 75%when the fan rotation speed was 1 500 r·min-1.According to the structural parameter combination optimized by RSM,a three-dimensional model was established for CFD numerical simulation,and the simulation result was 64.08 Pa,so the error between the prediction result of response surface method and CFD numerical simulation was 0.82%.The negative pressure at the entrance of the original model was 45.85 Pa,and the negative pressure of the optimized model was increased by 39.76%compared with the original model,and the optimization effect is remarkable.The negative pressure bench test of the mold hole showed that the negative pressure at the inlet of the mold hole was 62 Pa when the rotating speed of the fan blade was 1 500 r·min-1,and the error between the bench test and the numerical simulation test was 3.35%.[Conclusion]The bench test of seed suction performance showed that the suction seed singling rate of tomato seeds was 75.22%when the fan speed was 1 500 r·min-1,which was 15.72%higher than that before optimization.Considering the inevitable errors caused by simplified structure and 3D printing,it was considered that the results meet the requirements and the optimized experimental design is reliable.关键词
轴流/气吸排种器/响应面法(RSM)/计算流体动力学(CFD)Key words
axial flow/air suction seed metering drum/response surface method(RSM)/computational fluid dynamics(CFD)分类
农业工程引用本文复制引用
张海东,于淇,张宇乾,杨文彩,郑安琪..基于RSM和CFD的轴流气吸滚筒式排种器型孔负压优化[J].沈阳农业大学学报,2025,56(3):116-125,10.基金项目
云南省重大科技专项(202102AE090042-06,2018ZC001-4) （202102AE090042-06,2018ZC001-4）
