Optimization of working efficiency of rape crawler mower header in agricultural machinery cooperatives based on biomechanics

  • Xieraili Tuerjun Xinjiang Agricultural University, Urumqi 830052, China
  • Junxian Guo Xinjiang Agricultural University, Urumqi 830052, China
  • Jungui Ma Xinjiang Agricultural and Rural Mechanization Development Center, Urumqi 830054, China
Keywords: rape; crawler windrower; biomechanics; header efficiency optimization; topological optimization
Article ID: 1404

Abstract

This paper focuses on the optimization of operation efficiency of rape crawler mower header in Agricultural Machinery Cooperatives. In view of the important position of rape in agriculture and the problems existing in the cutting, conveying and laying of the existing windrower header, biomechanical methods were introduced. The working principle, structure and main parameters of the windrower are introduced in detail. The biomechanical analysis of the header operation process is carried out, and the key components such as reel, cutter and conveyor are designed and optimized. The header device frame topology is also optimized. The results showed that the first three natural frequencies of the header were increased after optimization, which effectively avoided the resonance risk, and the amplitudes of monitoring points in vibration test were significantly reduced, indicating that the optimization strategy was effective, which was of great significance to improve the efficiency and quality of rape harvest and promote the development of agricultural mechanization.

References

1. Du CF. Development status of rapeseed varieties and efficient planting techniques for high-quality seeds. China Farmers’ Cooperative; 2022.

2. Gan GY, Zou JL, Chen X, et al. Research Status of Rapeseed Production Pattern and Fertilization in China. Hubei Agricultural Science; 2022.

3. Li P, Liao QX, Shu CX, et al. Analysis of Failure Causes and Parameter Matching Study on Stem Laying Quality of Rapeseed Harvester. Journal of Applied Basic and Engineering Sciences. 2016.

4. Upadhyay G, Kumar N, Raheman H, et al. Predicting the Power Requirement of Agricultural Machinery Using ANN and Regression Models and the Optimization of Parameters Using an ANN–PSO Technique. AgriEngineering. 2024; 6(1): 185-204. doi: 10.3390/agriengineering6010012

5. Zhang J, Hu Z, Zhou X, et al. Intelligent Controlling Model for Cleaning of Rice–Wheat Combine Harvester Based on Multi-Objective Optimization Particle Swarm Method. International Journal of Pattern Recognition and Artificial Intelligence. 2024; 38(06). doi: 10.1142/s0218001424510108

6. Liu YP. Research on the Impact of Optimizing Operating Parameters of Agricultural Plant Protection Machinery on the Ecological Environment of Farmland. Southern Agricultural Machinery; 2024.

7. Zhao SJ, Lu CY, Li SZ, et al. Optimization and Testing of the Performance of Kiwi Inter Plant Mechanical Obstacle Avoidance Weeding Machine. Agricultural Mechanization Research; 2023.

8. Singh G, Tewari VK, Potdar RR, et al. Modeling and optimization using artificial neural network and genetic algorithm of self‐propelled machine reach envelope. Journal of Field Robotics. 2023; 41(7): 2373-2383. doi: 10.1002/rob.22255

9. Min Z, Bo Y, Wei L, et al. Simulation optimization and experimental validation of hydraulic impact in pruning machines. Measurement Science and Technology. 2024; 36(1): 015305. doi: 10.1088/1361-6501/ad8bea

10. Emberger P, Hinrichs M, Huber G, et al. Field tests and real-world exhaust gas emissions of a pure rapeseed oil-fuelled harvester in forestry: Testing a solution for combined water, soil, and climate protection. Journal of Cleaner Production. 2021; 280: 124360. doi: 10.1016/j.jclepro.2020.124360

11. Zhang JZ, Wang B, Zeng WG, et al. Research on the Most Unstable Attitude of Crawler Excavators under Slope Operating Conditions. Coal Mining Machinery; 2022.

12. Duan ZK. Optimization Design of Chassis System for Tracked Green Feed Harvester. Mechanical Research and Application; 2019.

13. Wang GH, Lei LY, Hu F. Optimization analysis of dual-purpose pickups for full feed combine harvesters and balers. Jiangsu Agricultural Mechanization; 2019.

14. Paraforos DS, Griepentrog HW. Switching Markov chains for modelling the loads of a four-rotor swather under different operating modes. IFAC-PapersOnLine. 2017; 50(1): 5392-5397. doi: 10.1016/j.ifacol.2017.08.1072

15. Sethanan K, Neungmatcha W. Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations. European Journal of Operational Research. 2016; 252(3): 969-984. doi: 10.1016/j.ejor.2016.01.043

16. Khalil K, Mohd A, Mohamad COC, et al. The Optimization of Machining Parameters on Surface Roughness for AISI D3 Steel. Journal of Physics: Conference Series. 2021; 1874(1): 012063. doi: 10.1088/1742-6596/1874/1/012063

17. Feng W, Zhou TJ, Zhao HB, et al. Effect of Al content on microstructure and high temperature tensile properties of high wolfram cast superalloy. Heat Treatment of Metals. 2016; 41(7): 21-24. doi: 10.13251/j.issn.0254-6051.2016.07.005.

Published
2025-03-04
How to Cite
Tuerjun, X., Guo, J., & Ma, J. (2025). Optimization of working efficiency of rape crawler mower header in agricultural machinery cooperatives based on biomechanics. Molecular & Cellular Biomechanics, 22(4), 1404. https://doi.org/10.62617/mcb1404
Section
Article