Performance analysis and test of a maize inter-row self-propelled thermal fogger chassis
Keywords:
maize inter-rows, intelligent chassis, traction performance, steering performance, obstacle surmounting performanceAbstract
In view of the difficulties in weeding and plant protection in the middle and late period of maize planting, this paper proposed a self-propelled thermal fogger chassis. According to the theoretical calculation and agronomic requirements for maize planting, the structure and working principles of the self-propelled thermal fogger chassis were introduced. On this basis, the multi-body dynamics model of chassis structure was established, and the chassis traction, steering and obstacle surmounting performances were also analyzed. Then the rationality and the feasibility of the design were verified through the furrow running test and test equipped with thermal fogger. Test results showed that, the traction performance improves with the decrease of soil deformation index and increase of cohesion, and when track pre-tensioning force was about 1000 N, the machine had a good traction performance; with the decrease of the soil deformation index and the increase of cohesive force, the stability of the single side brake turn of the chassis becomes better; on the contrary, with the increase of the tightness of the crawler, the steering radius turns smaller and the steering stability becomes worse. Under heavy clay, with the pre-tensioning of 1000 N, the machine has better steering stability and smaller turning radius. The obstacle-surmounting simulation result shows that on sandy soil road, the maximum climbing angle for the chassis is 42°, the height of vertical obstacle crossing is 170 mm and the trench width is 440 mm. The study provides a reference for the design of plant protection machinery in the middle and late stages of maize planting. Keywords: maize inter-rows, intelligent chassis, traction performance, steering performance, obstacle surmounting performance DOI: 10.25165/j.ijabe.20181105.3607 Citation: Chen L Q, Wang P P, Zhang P, Zheng Q, He J, Wang Q J. Performance analysis and test of a maize inter-row self-propelled thermal fogger chassis. Int J Agric & Biol Eng, 2018; 11(5): 100–107.References
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[3] Jiang J, Xiang H T, Wang L Z, Jiang L X ,Wang L M, Li Z J. Reasons of grain yield increase per unit area in Heilongjiang province. Chinese Agricultural Science Bulletin, 2015; 31(36): 113–118. (in Chinese)
[4] Chahal P S, Jhala A J. Impact of glyphosate-resistant volunteer corn (Zea mays L) density, control timing, and late-season emergence on yield of glyphosate-resistant soybean (Glycine max L). Crop Protection, 2016; 81: 38–42.
[5] Jha P, Kumar V, Godara R K, Chauhan B S. Weed management using crop competition in the United States: A review. Crop Protection, 2016; 95(31): 31–37.
[6] Bueno M R, Cunha J P A R D, Santana D G D. Assessment of spray drift from pesticide applications in soybean crops. Biosystems Engineering, 2016; 154: 35–45.
[7] Zhao H Y, Xie C, Liu F M, He X K, Zhang J, Song J L. Effects of sprayers and nozzles on spray drift and terminal residues of imidacloprid on wheat. Crop Protection, 2014; 60: 78–82.
[8] Chen T H, Lu S H. Design of navigation control system for DSP based small-scale agricultural unmanned plane. Transactions of the CSAE, 2012; 28(21): 164–169. (in Chinese)
[9] Wang P P, Chen L Q, Wang C L, Zheng Q. Traction performance analysis and experiment of crawler self-propelled hot fogging machine based on multi-body dynamics. IAEJ, 2017; 26(1): 119–125.
[10] Chen Z G, Wang Y G, Meng T, Sun Y K. Experiment of infrared target detection for plants pesticide spraying. Drainage and Irrigation Machinery, 2009; 27(4): 237–241, 246. (in Chinese)
[11] Deng W, Zhao C J, He X K, Chen L P, Zhang L D, Wu G W, et al. Study on spectral detection of green plant target. Spectroscopy and Spectral Analysis, 2010; 30(8): 2179–2183. (in Chinese)
[12] Brown D L, Giles D K, Oliver M N, Klassem P. Targeted spray technology to reduce pesticide in runoff from dormant orchards. Crop Protection, 2008; 27(3-5): 545–552.
[13] Song S R, Chen J Z, Hong T S, Zhang C, Dai Q F, Xue X Y. Design and
experiment of orchard flexible targeted spray device. Transactions of the CSAE, 2015; 31(10): 57–63. (in Chinese)
[14] Malneršič A, Dular M, Širok B, Oberti R, Hočevar M. Close-range air-assisted precision spot-spraying for robotic applications: Aerodynamics and spray coverage analysis. Biosystems Engineering, 2016; 146(S1): 216–226.
[15] Oberti R, Marchi M, Tirelli P, Calcante A, Iriti M, Hočevar M, et al. Selective spraying of grapevines for disease control using a modular agricultural robot. Biosystems Engineering, 2016; 146(S1): 203–215.
[16] Yang Q H, Chang C, Bao G J, Fan J, Xun Y. Recognition and localization system of the robot for harvesting Hangzhou White Chrysanthemums. Int J Agric & Biol Eng, 2018; 11(1): 88–95.
[17] Fu Z T, Qi L J, Wang J H. Developmental Tendency and Strategies of Precision Pesticide Application Techniques. Transactions of the CSAM, 2007; 38(1): 189–192. (in Chinese)
[18] Cao Z Y, Zhang J X, Geng C X, Li W. Control system of target spraying robot in greenhouse. Transactions of the CSAE, 2016; 26(Supp.2): 228–233. (in Chinese)
[19] Li H, Wang B, Li A J, Dong H F, Yan X G. Effects of allocations of row-spacing on maize yield under different planting densities. Chinese Agricultural Science Bulletin, 2011; 7(9): 309–313. (in Chinese)
[20] Li H, Wang B, Li A J, Dong H F. Effects of allocations of row-spacing on maize yield under different planting densities. Chinese Agricultural Science Bulletin, 2011; 27(9): 309–313. (in Chinese)
[21] Wong J Y, Chiang C F. A general theory for skid steering of tracked vehicles on firm ground. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2001; 215(3): 343–355.
[22] Garber M, Wong J Y. Prediction of ground pressure distribution under tracked vehicles—I. An analytical method for predicting ground pressure distribution. Journal of Terramechanics, 1981; 18(1): 1–23.
[23] Ma X G, Pan S W, You X M, Ye M, Gong X L. Mathematical models for a caterpillar driving system and its tension calculation. Journal of Vibration and Shock, 2014; 33(3): 186–190. (in Chinese)
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Published
2018-09-29
How to Cite
Chen, L., Wang, P., Zhang, P., Zheng, Q., He, J., & Wang, Q. (2018). Performance analysis and test of a maize inter-row self-propelled thermal fogger chassis. International Journal of Agricultural and Biological Engineering, 11(5), 100–107. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/3607
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Power and Machinery Systems
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