Loading…

Modeling the interaction between a new four-bar subsoiling mechanism and red soil using the improved differential evolution algorithm and DEM

•An algorithm (IDE) was proposed to design a new bionic subsoiling mechanism (BSM).•It is proved that IDE has better solution accuracy and speed.•Proposed a new method for establishing the soil model.•It was proved that the BSM has improved tillage performance based on DEM.•The driving parameters co...

Full description

Saved in:
Bibliographic Details
Published in:Computers and electronics in agriculture 2023-05, Vol.208, p.107783, Article 107783
Main Authors: Zhang, Lei, Zhai, Yibin, Wu, Chuanyu, Huang, Shouzhi, Zhang, Zhien
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•An algorithm (IDE) was proposed to design a new bionic subsoiling mechanism (BSM).•It is proved that IDE has better solution accuracy and speed.•Proposed a new method for establishing the soil model.•It was proved that the BSM has improved tillage performance based on DEM.•The driving parameters combination for the BSM was optimized. Because of the poor subsoiling effects and high tillage resistances of small subsoiling machines when used on red soil in southern China, a new subsoiling mechanism based on functional bionics and an optimization method that employed an improved differential evolution (IDE) algorithm are proposed in this paper. The tillage performance was improved by causing the subsoiler to mimic the digging motion of a mole forefoot. The path synthesis of the subsoiling mechanism was solved by the IDE, and the tillage performance of the four-bar bionic subsoiling mechanism was evaluated by the discrete element method. First, the digging trajectory of the mole forefoot was mapped as the desired subsoiling trajectory. An optimization model for the path synthesis was established to minimize the position error between the desired subsoiling trajectory and the coupler curve of the mechanism; it was solved by the differential evolution algorithm with improvements in the mutation and crossover operations. It was found that the IDE could more rapidly search for a more accurate solution. The optimization results were used to design a bionic subsoiling mechanism that could mimic the digging trajectory of a mole forefoot. Second, the microscopic contact parameters among the soil particles were calibrated by soil accumulation and direct shear tests. In addition, a discrete element soil model was established that included dual coupling of variable contact models for the tillage layer and the plow pan. The tillage processes of an existing common subsoiling mechanism (CSM), the bionic subsoiling mechanism equipped with a common subsoiler (BSM&CS), and the bionic subsoiling mechanism equipped with a bionic subsoiler (BSM&BS) were analyzed by a joint ADAMS and EDEM simulation. The simulation results were analyzed according to established evaluation indexes for tillage performance. The comprehensive soil disturbance performance of the BSM&CS improved by 257.03% and its drag reduced by 10.87% from the CSM values, while the comprehensive soil disturbance performance of the BSM&BS improved by 312.78% and its drag reduced by 18.40% from the CSM values. Finally,
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2023.107783