Simulation and Test of “Separated Burying Device” of Green Manure Returning Machine Based on the EDEM Software
Abstract
:1. Introduction
2. Materials and Methods
2.1. Composition and Working Principle of “Separated Burying Device”
2.2. “Iron Chain Separation Curtain” and Soil Retaining Board
2.3. Experiment Method
2.4. Discrete Element Simulation Test
2.4.1. Setting of Simulation Test Conditions
2.4.2. Construction of the Simulation Model
2.4.3. Simulation Test Process
3. Results and Analysis
3.1. Discrete Element Simulation Test Results and Optimization
3.2. Field Test Verification
3.2.1. Test Conditions
3.2.2. Test Method
4. Discussion
- (1)
- The designed “separating burying device” needs to be used in conjunction with the rotary tiller, so the “separating burying device” can only be used in conjunction with the machine that uses rotary tillage to bury green manure, and is not suitable for other machines.
- (2)
- The simulation test and field test in this paper are mainly aimed at the fragrant pear orchard in Alar City, Xinjiang, China. The soil type is sandy loam, and the green manure crop is only rape. The next step will be to study the structural optimization of the “separating burying device” under different soil conditions and different types of green manure, in order to achieve the purpose of reducing drag and consumption, improving performance and versatility.
5. Conclusions
- (1)
- Completed the overall structural design of the “separated burying device”, which is mainly composed of “Chain separation curtain”, earth retaining plates and suppressors, achieved the goal of “stalk falling first and soil falling later” during green manure returning.
- (2)
- A cooperative parameter model of the “separated burying device” was constructed through a discrete element model and the feasibility of the model was verified. It can predict the burying rate of green manures. Cooperative parameters of the key components were optimized through regression and response surface analysis. The machine achieved the highest burying rate (95.16%) for L1 = 378.76 mm, L2 = 187.78 mm and θ = 116.48°.
- (3)
- In order to verify the reliability, scientificity and feasibility of the “separated burying device”, a field test was carried out. Before designing the “separation burial device”, the average burial rate of green manure crops was 89.53% when the turning depth was 150 mm. After designing the “separating burying device”, the average burying rate of green manure crops was 94.36% when the turning depth was 150 mm, and the green manure burial rate increased 4.84%, verifying the feasibility of the “separated buried device”. Compared with the optimal burial rate of 95.16% in the discrete element simulation test, the error is 0.8%, far less than 5%, which verifies the scientificity, feasibility and accuracy of the quadratic polynomial regression model.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Guo, R. China Ethnic Statistical Yearbook 2020; Springer: Berlin/Heidelberg, Germany, 2020. [Google Scholar]
- Zhao, C.; Gao, B.; Wang, L.; Huang, W.; Xu, S.; Cui, S. Spatial patterns of net greenhouse gas balance and intensity in Chinese orchard system. Sci. Total Environ. 2021, 779, 146250. [Google Scholar] [CrossRef] [PubMed]
- Guo, H.; Cao, Y.; Song, W.; Zhang, J.; Wang, C.; Wang, C.; Yang, F.; Zhu, L. Design and Simulation of a Garlic Seed Metering Mechanism. Agriculture 2021, 11, 1239. [Google Scholar] [CrossRef]
- Giacalone, G.; Peano, C.; Isocrono, D.; Sottile, F. Are Cover Crops Affecting the Quality and Sustainability of Fruit Production? Agriculture 2021, 11, 1201. [Google Scholar] [CrossRef]
- Mamiev, D.; Abaev, A.; Tedeeva, A.; Khokhoeva, N.; Tedeeva, V. Use of Green Manure in Organic Farming. In IOP Conference Series: Earth and Environmental Science; IOP Publishing: Bristol, UK, 2019; Volume 403, p. 012137. [Google Scholar]
- Jarvis, N.; Forkman, J.; Koestel, J.; Kätterer, T.; Larsbo, M.; Taylor, A. Long-term effects of grass-clover leys on the structure of a silt loam soil in a cold climate. Agric. Ecosyst. Environ. 2017, 247, 319–328. [Google Scholar] [CrossRef]
- Ma, D.; Yin, L.; Ju, W.; Li, X.; Liu, X.; Deng, X.; Wang, S. Meta-analysis of green manure effects on soil properties and crop yield in northern China. Field Crop. Res. 2021, 266, 108146. [Google Scholar] [CrossRef]
- Yao, Z.; Xu, Q.; Chen, Y.; Liu, N.; Li, Y.; Zhang, S.; Cao, W.; Zhai, B.; Wang, Z.; Zhang, D.; et al. Leguminous green manure enhances the soil organic nitrogen pool of cropland via disproportionate increase of nitrogen in particulate organic matter fractions. Catena 2021, 207, 105574. [Google Scholar] [CrossRef]
- Zhang, L.; Cao, M.; Xing, A.; Sun, Z.; Huang, Y. Modelling the Spatial Expansion of Green Manure Considering Land Productivity and Implementing Strategies. Sustainability 2018, 10, 225. [Google Scholar] [CrossRef] [Green Version]
- Breland, T.A. Measured and predicted mineralization of clover green manure at low temperatures at different depths in two soils. Plant Soil 1994, 166, 13–20. [Google Scholar] [CrossRef]
- Lu, L.; Wang, W.; Wang, X.; Zhang, L.; Li, A.; Gao, M.; Zhang, L.; Li, B.; Han, M. Release of nutrients during the de-composition of green manure in different levels of the soil in an apple orchard in Weibei highland. J. Fruit Sci. 2018, 35, 586–595. [Google Scholar]
- Zekić, V.; Rodić, V.; Jovanović, M. Potentials and economic viability of small grain residue use as a source of energy in Serbia. Biomass- Bioenergy 2010, 34, 1789–1795. [Google Scholar] [CrossRef]
- Nørremark, M.; Griepentrog, H.W.; Nielsen, J.; Søgaard, H.T. Evaluation of an autonomous GPS-based system for intra-row weed control by assessing the tilled area. Precis. Agric. 2012, 13, 149–162. [Google Scholar] [CrossRef]
- You, Z.; Gao, X.; Wang, G.; Yu, X.; Hu, R. Design and experiment of GFY-200 type crushing and overturning combined machine for economic green manures. J. Chin. Agric. Mech. 2021, 42, 116–121. [Google Scholar] [CrossRef]
- Qinglu, Y.; Guibin, C.; Lijuan, X.; Qingjie, W.; Jin, H.; Hongwen, L. Design and Experiment of Telescopic Finger Stalk of Maize Straw Burying Machine. Trans. Chin. Soc. Agric. Mach. 2020, 51, 35–43. [Google Scholar]
- Rosa, D.M.; Nóbrega, L.H.P.; de Lima, G.P.; Mauli, M.M. Corn crop sown during summertime under leguminous residues in a no-tillage system. Semin. Ciências Agrárias 2011, 32, 1287–1296. [Google Scholar] [CrossRef] [Green Version]
- Brozović, B.; Jug, D.; Đurđević, B.; Vukadinović, V.; Tadić, V.; Stipešević, B. Influence of winter cover crops incorpo-ration on weed infestation in popcorn maize (Zea mays everta Sturt.) organic production. Agric. Conspec. Sci. 2018, 83, 77–81. [Google Scholar]
- Xu, L.; Zhao, S.; Ma, S.; Niu, C.; Yan, C.; Lu, C. Optimized design and experiment of the precise obstacle avoidance control system for a grape interplant weeding machine. Trans. Chin. Soc. Agric. Eng. Trans. CSAE 2021, 37, 31–39, (In Chinese with English abstract). [Google Scholar]
- Konstantinov, Y.V.; Akimov, A.P.; Medvedev, V.I.; Maksimov, A.N. Calculation of the power requirement for soil cutting by rotary tool blade. In Journal of Physics: Conference Series; IOP Publishing: Bristol, UK, 2020; Volume 1679. [Google Scholar]
- Zhao, H.; Huang, Y.; Liu, Z.; Liu, W.; Zheng, Z. Applications of Discrete Element Method in the Research of Agricultural Machinery: A Review. Agriculture 2021, 11, 425. [Google Scholar] [CrossRef]
- Liao, Y.T.; Wang, Z.T.; Liao, Q.X.; Wan, X.Y.; Zhou, Y.; Liang, F. Calibration of Discrete Element Model Parameters of Forage Rape Stalk at Early Pod Stage. Trans. Chin. Soc. Agric. Mach. 2020, 51, 236–243. [Google Scholar]
- Jianping, H.; Jun, Z.; Haoran, P.; Wei, L.; Xingsheng, Z. Prediction Model of Double Axis Rotary Power Consumption Based on Discrete Element Method. Trans. Chin. Soc. Agric. Mach. 2020, 51, 9–16. [Google Scholar]
- Maohua, X.; Kaixin, W.; Wang, Y.; Weichen, W.; Feng, J. Design and Experiment of Bionic Rotary Blade Based on Claw Toe of Gryllotalpa orientalis Burmeister. Trans. Chin. Soc. Agric. Mach. 2021, 52, 55–63. [Google Scholar]
- Yu, C.; Zhu, D.; Gao, Y.; Xue, K.; Zhang, S.; Liao, J.; Liu, J. Optimization and experiment of counter-rotating straw returning cultivator based on discrete element method. J. Adv. Mech. Des. Syst. Manuf. 2020, 14, JAMDSM0097. [Google Scholar] [CrossRef]
- Zhou, H.; Zhang, C.; Zhang, W.; Yang, Q.; Li, D.; Liu, Z.; Xia, J. Evaluation of straw spatial distribution after straw incorporation into soil for different tillage tools. Soil Tillage Res. 2020, 196, 104440. [Google Scholar] [CrossRef]
- Zeng, Z.; Chen, Y. Simulation of straw movement by discrete element modelling of straw-sweep-soil interaction. Biosyst. Eng. 2019, 180, 25–35. [Google Scholar] [CrossRef]
- Yu, C.; Liu, J.; Zhang, J.; Xue, K.; Zhang, S.; Liao, J.; Tai, Q.; Zhu, D. Design and optimization and experimental verification of a segmented double-helix blade roller for straw returning cultivators. J. Chin. Inst. Eng. 2021, 44, 379–387. [Google Scholar] [CrossRef]
Code Value | The Test Factors | ||
---|---|---|---|
L1 (mm) | L2 (mm) | L3 (°) | |
1 | 500 | 250 | 140 |
0 | 400 | 200 | 120 |
−1 | 300 | 150 | 100 |
Project | Parameter | Project | Parameter |
---|---|---|---|
Soil bin (long × wide × high) (mm × mm × mm) | 3200 × 1600 × 300 | The soil density (kg/m3) | 1250 |
Machine forward speed (m/s) | 1.2 | Soil Poisson’s ratio | 0.4 |
Speed of rotation of rotary blade ω (rad/s) | 13.3 | Soil shear modulus (pa) | 1 × 106 |
The density of 65 Mn steel (kg/m3) | 7860 | Soil-soil recovery coefficient | 0.2 |
Poisson’s ratio of 65 Mn steel | 0.3 | Soil-steel recovery coefficient | 0.6 |
65 Mn steel shear modulus (pa) | 7.9 × 1010 | Recovery coefficient of stem-steel collision in rape | 0.6 |
Canola stem density (kg/m3) | 809 | Soil-soil static friction factor | 0.4 |
Poisson’s ratio of canola stem | 0.23 | Soil-steel static friction coefficient | 0.6 |
Rape stem shear modulus (pa) | 4.704 × 107 | Stem-steel static friction coefficient of rape | 0.23 |
Recovery coefficient of rapeseed stalk collision | 0.6 | Soil-soil rolling friction factor | 0.3 |
Static friction coefficient between stems in rape | 0.36 | Soil-steel rolling friction coefficient | 0.05 |
Rolling friction coefficient between stems in rape | 0.03 | Rape stem-steel rolling friction factor | 0.1 |
Test Serial Number | L1 (mm) | L2 (mm) | L3 (°) | Indicators |
---|---|---|---|---|
Y1 (%) | ||||
1 | −1 | −1 | 0 | 92.7 |
2 | 1 | −1 | 0 | 91.31 |
3 | −1 | 1 | 0 | 91.72 |
4 | 1 | 1 | 0 | 86.7 |
5 | −1 | 0 | −1 | 92.83 |
6 | 1 | 0 | −1 | 90.36 |
7 | −1 | 0 | 1 | 92.1 |
8 | 1 | 0 | 1 | 89.5 |
9 | 0 | −1 | −1 | 93.2 |
10 | 0 | 1 | −1 | 92.39 |
11 | 0 | −1 | 1 | 92.76 |
12 | 0 | 1 | 1 | 92.12 |
13 | 0 | 0 | 0 | 94.76 |
14 | 0 | 0 | 0 | 95.18 |
15 | 0 | 0 | 0 | 94.92 |
16 | 0 | 0 | 0 | 95.3 |
17 | 0 | 0 | 0 | 94.2 |
Source | Sum of Squares | Degrees of Freedom | Mean Square Error | The F Value | The p Value |
---|---|---|---|---|---|
model | 75.92 | 9 | 8.44 | 18.41 | 0.0004 |
L1 | 16.47 | 1 | 16.47 | 35.94 | 0.0005 |
L2 | 6.2 | 1 | 6.2 | 13.52 | 0.0079 |
L3 | 0.66 | 1 | 0.66 | 1.44 | 0.2687 |
L1L2 | 3.29 | 1 | 3.29 | 7.19 | 0.0315 |
L1L3 | 0.004225 | 1 | 0.004225 | 0.009219 | 0.9262 |
L2L3 | 0.007225 | 1 | 0.007225 | 0.016 | 0.9036 |
L12 | 34.01 | 1 | 34.01 | 74.22 | <0.0001 |
L22 | 8.52 | 1 | 8.52 | 18.58 | 0.0035 |
L32 | 2.92 | 1 | 2.92 | 6.36 | 0.0397 |
residual | 3.21 | 7 | 0.46 | ||
Loss of quasi item | 2.46 | 3 | 0.82 | 4.41 | 0.0928 |
Pure error | 0.74 | 4 | 0.19 | ||
aggregate | 79.13 | 16 |
Test Way | Measuring Point | Quality of Green Manure above the Surface Z1 (g) | Quality of Green Manure 15 cm below the Surface Z2 (g) | Buried Rate F (%) |
---|---|---|---|---|
The control group | 1 | 125.46 | 1090.15 | 89.68 |
2 | 140.17 | 1275.09 | 90.09 | |
3 | 123.84 | 968.27 | 88.66 | |
4 | 169.31 | 1256.41 | 88.12 | |
5 | 115.25 | 1176.69 | 91.08 | |
Experimental group | 1 | 62.38 | 1205.17 | 95.08 |
2 | 82.15 | 1138.32 | 93.27 | |
3 | 75.46 | 1155.63 | 93.87 | |
4 | 54.71 | 926.15 | 94.42 | |
5 | 63.92 | 1259.74 | 95.17 |
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Yang, W.; Zhao, J.; Liu, X.; Xi, L.; Liao, J. Simulation and Test of “Separated Burying Device” of Green Manure Returning Machine Based on the EDEM Software. Agriculture 2022, 12, 569. https://doi.org/10.3390/agriculture12050569
Yang W, Zhao J, Liu X, Xi L, Liao J. Simulation and Test of “Separated Burying Device” of Green Manure Returning Machine Based on the EDEM Software. Agriculture. 2022; 12(5):569. https://doi.org/10.3390/agriculture12050569
Chicago/Turabian StyleYang, Wang, Jinfei Zhao, Xinying Liu, Linqiao Xi, and Jiean Liao. 2022. "Simulation and Test of “Separated Burying Device” of Green Manure Returning Machine Based on the EDEM Software" Agriculture 12, no. 5: 569. https://doi.org/10.3390/agriculture12050569
APA StyleYang, W., Zhao, J., Liu, X., Xi, L., & Liao, J. (2022). Simulation and Test of “Separated Burying Device” of Green Manure Returning Machine Based on the EDEM Software. Agriculture, 12(5), 569. https://doi.org/10.3390/agriculture12050569