|Table of Contents|

Optimum Design and Experimental Analysis of Electronically Controlled Adjustable Hole Seed Metering Device Based on Response Surface Method(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2020年02期
Page:
304-310
Research Field:
Publishing date:

Info

Title:
Optimum Design and Experimental Analysis of Electronically Controlled Adjustable Hole Seed Metering Device Based on Response Surface Method
Author(s):
LI Xiao-hong1; LIU Xiao-li1; LIU Long2; QU Zhe2; AN Xue2; 3; YU Yong-chang2
(1.School of Mechanical Engineering, Shangqiu Institute of Technology, Shangqiu 476000, China; 2.College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China; 3.College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling 712100, China)
Keywords:
Response surface method;  Hole wheel type seed metering device;  Electronic control seeding;  Optimization design
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2020.02.0304
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.

References:

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Last Update: 2020-06-10