Parameter Calibration and Optimization of a Discrete Element Model of Plug Seedling Pots Based on a Collision Impact Force
Source abstract
Abstract
To improve the accuracy of simulation parameters used in discrete element simulation tests for the transplanting operation of the transplanting machine and to facilitate further optimization of crucial components of the transplanting machine, in this paper, the discrete element model of 50-hole plug seedling pots was calibrated and optimized based on the collision impact force between the plug seedling pot and the steel plate measured by a flexible film network tactile pressure sensor. Basic tests determined the contact parameters of the pot, and the initial parameters were screened for significance using the Plackett–Burman test. The pot-steel static friction coefficient, the pot-pot collision restitution coefficient, and the bond radius significantly affected the simulated collision impact force between the pot and the steel plate. According to the relative error value of the impact force between the pot and the steel plate as the evaluation index, the steepest climbing test was carried out on three significant parameters to optimize their value range. Based on the Box–Behnken test, a second-order regression model of the impact force and significant parameters regulating the interaction between the pot and the steel plate was established, where the target impact force between the pot and the steel plate was 11.78 N. The optimal parameter combination is obtained by optimizing the significance parameters: the static friction coefficient between the pot and steel is 0.790, the collision restitution coefficient between the pot and the pot is 0.325, and the bond radius is 1.542 mm. The test results show that the relative error between the actual and simulation tests is only 0.084%. The calibrated parameters of the discrete element model of plug seedling pots are accurate and reliable. The research results presented here can provide a reference for the subsequent transplanting operation simulation of the transplanter.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Soil Mechanics and Vehicle Dynamics · Robotic Locomotion and Control · Mechanical stress and fatigue analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
Funding
National Natural Science Foundation of China (NSFC) · Natural Science Foundation of the Inner Mongolia Autonomous Region of China
References (34)
Show source-provided references
1. Hu, Y.Y. (2014). Research on Countermeasures for the Development of Sunflower Production in Heilongjiang Province. [Master’s Thesis, Chinese Academy of Agricultural Sciences].
2. Effects of spring wheat sunflower replanting on soil salinity and farmland productivity in Hetao area
3. Zhou, Z.W. (2021). Design and Research of Planting Depth Control System of Hanging Cup Transplanting Machine. [Master’s Thesis, Inner Mongolia Agricultural University].
4. Design, Development and Testing of Feeding Grippers for Vegetable Plug Transplanters10.3390/agriengineering3030043 ↗
5. Development of a gravity fed automatic vegetable transplanter with walking beam mechanism
6. Research Progress on Mechanized Transplanting of Pepper Hole Seedlings
7. Experimental study on clamping compression characteristics of seedling bowl of transplanted tomato cave tray
8. Experiment and analysis of high-speed photographic techniques for throwing motion of seedlings
9. Experimental study on the top clamping combined seedling taking device of vegetable automatic transplanting machine
10. Analysis of soil movement behavior in rotary tillage process based on discrete element method
11. Modelling approach for soil displacement in tillage using discrete element method10.1016/j.still.2018.05.017 ↗
12. Discrete element modeling of soil displacement resulting from hoe openers10.13031/trans.12932 ↗
13. Application Status and Prospect of Discrete Element Method in Agricultural Engineering Research
14. Experiments and discrete element method simulations of distribution of static load of grain bedding at bottom of shallow model silo10.1016/j.biosystemseng.2016.06.012 ↗
15. The role of bond and damping in the discrete element model of soil-sweep interaction10.1016/j.biosystemseng.2018.02.001 ↗
16. Research progress on particle collision recovery coefficients in agriculture and food
17. Study on the calibration process of parallel bonding mesoparameters in PFC numerical simulation
18. Discrete-based calibration of interspecific contact parameters in maize seed granule models
19. Calibration of discrete element model parameters of rice seeds with different filled particle radii
20. Determination of physical parameters of contact between soybean seeds and seeders and discrete element simulation calibration
21. Establishment of discrete element flexible model of flax stem and experimental verification of contact parameters
22. Verification for EDEM simulation of process of jacking tray-seedling by steel needle in grafting machine and parameter optimization
23. Design and experiment of adjustable end-effector of cabbage seedlings
24. Tian, Z., Ma, W., Yang, Q., Yao, S., Guo, X., and Duan, F.J.A. (2022). Design and Experiment of Gripper for Greenhouse Plug Seedling Transplanting Based on EDM. Agronomy, 12.10.3390/agronomy12071487 ↗
25. Discrete element-based micropotato simulation parameter calibration
26. Dai, Z., Wu, M., Fang, Z., and Qu, Y. (2021). Calibration and Verification Test of Lily Bulb Simulation Parameters Based on Discrete Element Method. Applied Sciences, 11.10.3390/app112210749 ↗
27. Sandeep, C.S., Luo, L., and Senetakis, K. (2020). Effect of grain size and surface roughness on the normal coefficient of restitution of single grains. Materials, 13.10.3390/ma13040814 ↗
28. Discrete-element model parameter calibration for alfalfa straw compression simulation
29. Sun, X., Li, B., Liu, Y., and Gao, X. (2022). Parameter measurement of edible sunflower exudates and calibration of discrete element simulation parameters. Processes, 10.10.3390/pr10020185 ↗
30. Zeng, F., Li, X., Bai, H., Cui, J., Liu, X., and Zhang, Y. (2022). Experimental Study on Pot Damage and Contact Stress Distribution Characteristics of Oil Sunflower Plug Seedlings. Appl. Sci., 12.10.3390/app122110889 ↗
31. Bai, H., Li, X., Zeng, F., Cui, J., and Zhang, Y. (2022). Study on the Impact Damage Characteristics of Transplanting Seedlings Based on Pressure Distribution Measurement System. Horticulturae, 8.10.3390/horticulturae8111080 ↗
32. Optimization of the parameters of the cave generator of semi-automatic compression substrate type watermelon bowl seedling transplanting machine
33. Simulation and test of seedling pot substrate grasping of acupuncture tray transplanting finger shovel end effector
34. Mechanical properties test of broccoli bowl seedlings for mechanized cultivation