LI Xiao-hong,LIU Xiao-li,LIU Long,et al.Optimum Design and Experimental Analysis of Electronically Controlled Adjustable Hole Seed Metering Device Based on Response Surface Method[J].Soybean Science,2020,39(02):304-310.[doi:10.11861/j.issn.1000-9841.2020.02.0304]
基于响应面法的电控可调节窝眼轮式排种器的优化设计
- Title:
- Optimum Design and Experimental Analysis of Electronically Controlled Adjustable Hole Seed Metering Device Based on Response Surface Method
- Keywords:
- Response surface method; Hole wheel type seed metering device; Electronic control seeding; Optimization design
- 文献标志码:
- A
- 摘要:
- 为满足大豆小区播种机精密排种的需求，改进一种电控窝眼轮式精密排种器选取传送带速度、落种高度和控制排种器转速的脉冲当量3个影响因素，采用响应面法Box-Behnken Design (BBD)模型，以合格指数为评价指标进行试验，考察排种器工作过程中不同影响因素间交互作用对排种性能的显著性，并找到电控窝眼轮式排种器最佳工作参数。结果表明：脉冲当量、传送带速度及二者交互作用均对排种性能试验影响显著。通过BBD模型获得的排种器最佳工作参数为：脉冲当量为2 848，落种高度为135.85 mm，传送带速度为0.52 m·s-1，此时的合格指数最大值为99.52%。通过试验验证，实际合格指数最大值为99.27%，和模型预测值之间的相对误差为0.25%，表明该模型拟合度较高，可用于电控可调节窝眼轮式排种器排种性能试验的分析和预测。
- Abstract:
- In order to satisfy the requirement of precision soybean seeding with plot seeder, an electronically controlled adjustable hole seed metering device was improved. In this study, three influencing factors were selected, such as speed of the conveyor belt, the height of seeding and the pulse equivalent of the speed with the metering device, and the working process of the seed metering device was evaluated by different influencing factors using the response surface method Box-Behnken Design model. The interaction between the interactions was significant, and the optimal operating parameters of the electronically controlled adjustable hole seed metering device were found. The result showed that the pulse equivalent, the conveyor speed and the interaction between them had significant effects on the seeding performance test. The optimal working parameters of the seed meter obtained by the BBD model were the pulse equivalent in 2 848, drop height at 135.85 mm and conveyor speed at 0.52 m·s-1, and the maximum value of the qualified index at this time was 99.97%. The experimental results showed that the maximum value of the actual qualification index was 99.73%, and the relative error between the model and the predicted value was 0.24%. It shows that the model has a high degree of fit and can be used for the analysis and prediction of the performance test of the electronically controlled adjustable eye wheel type seed metering device.
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备注/Memo
收稿日期：2019-09-18