Abstract

Because of the lack of good seedling positioning during vegetable grafting, there are issues such as high labor costs and long grafting time. This article proposes a negative pressure suction seedling positioning method for seed leaves based on the characteristic parameters of cucumber spike wood, and designs a flexible adsorption positioning mechanism for spike wood. Firstly, the ventral surface curve trajectories of cucumber cotyledons were extracted using Matlab software, and then a shape-adaptive design was applied to the attachment surface of the flexible suction positioning mechanism, and a computational fluid dynamics model of the airflow field was established. By combining Fluent simulation analysis with orthogonal experiments, the effect of suction hole diameter, vacuum negative pressure value, suction hole quantity, and suction hole depth on the adsorption effect of the suction head was analyzed, the main and secondary factors and operational indicators that affect the adsorption effect are evaluated. The optimal parameter combination: suction hole diameter of 1.5 mm, vacuum negative pressure value of 2 kPa, suction hole quantity of 42, and suction hole depth of 2 mm, has been found. A verification experiment was conducted on a test bench, and the experimental results show that the success rate of leaf absorption using the optimal parameter combination is 97.69%, which indicates that the suction head is designed reasonably and meets the requirements of grafting.

Details

Title
Simulation and experimental study of flexible adsorption and localization mechanism for vegetable grafting machines
Author
Li, Yanjun 1 ; Wang, Chao 2 ; Wu, Hongxin 3 ; Zhao, Yaqian 3 ; Song, Jian 1 

 Weifang University, School of Machinery and Automation, Weifang, China (GRID:grid.469274.a) (ISNI:0000 0004 1761 1246) 
 Weifang University, School of Machinery and Automation, Weifang, China (GRID:grid.469274.a) (ISNI:0000 0004 1761 1246); Shandong University of Science and Technology, Qingdao, China (GRID:grid.412508.a) (ISNI:0000 0004 1799 3811) 
 Chinese Academy of Agricultural Mechanization Science Group Co., Ltd., Beijing, China (GRID:grid.464278.b) (ISNI:0000 0000 9273 3025) 
Pages
17616
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3086190252
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.