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- Title
Formation mechanism for the laying angle of hemp harvester based on ANSYS-ADAMS.
- Authors
Jicheng Huang; Li Tan; Kunpeng Tian; Bin Zhang; Aimin Ji; Haolu Liu; Cheng Shen
- Abstract
Aiming at the problem of large differences in the laying angle and posture of plants cut by the hemp harvester, which is unfavorable for the subsequent picking-up, this paper analyzed the laying process and laying angles, and built a conveyorplant rigid-flexible coupling model for simulating the laying of hemp plant. Moreover, the operating parameters were tested and optimized based on the central composite design theory, and carried out multi-objective optimization with the minimum laying angle as the response index. Firstly, the formation mechanism of the laying angle of hemp harvester was studied. Secondly, a test was designed with the quadratic orthogonal rotational combination test method, with the data being processed by Design-Expert. A regression mathematical model of the laying angle was built, and the influence of the interactions between factors on the laying angle was analyzed with the response surface method. Furthermore, multi-objective optimization was conducted on the regression model according to the actual production design requirements. As a result, the best combination was obtained, that is, when the forward speed is 0.7 m/s, speed ratio 1.40, and stubble height 95 mm, the minimum laying angle can be obtained, namely 124.9°. The optimization parameters were verified by the simulation and field tests. The simulation test showed that the simulated laying angle is 125.2°, with a relative error of 0.24% from the theoretical value, under the best combination of parameters. The field test showed that the average laying angle of hemp plant is 121.8°, with a relative error of 2.5% from the theoretical value, under the best combination of parameters. The results may provide a reference for the structural improvement and operating parameter control of hemp harvesters.
- Subjects
HEMP; ANGLES; PLANT cuttings; MATHEMATICAL models; TEST methods
- Publication
International Journal of Agricultural & Biological Engineering, 2023, Vol 16, Issue 4, p109
- ISSN
1934-6344
- Publication type
Article
- DOI
10.25165/j.ijabe.20231604.7978