Design and modelling of the full-feed peanut picking device with self-adaptive adjustable working clearance and feeding rate

Shenying Wang, Baoliang Peng, Huichang Wu, Zhichao Hu, Dawei Sun, Yongwei Wang, Mingzhu Cao

Abstract


To improve the declining performance of a full-feed peanut picking device or solve the mechanical failures that occur due to fluctuations in the feeding rate during operation, the 4HLJI-3000 peanut intelligent picking combine harvester, which is a picking device with a self-adaptive adjustment of the working clearance, was developed as the research object in this study. Moreover, the key components, such as the picking roller, concave plate sieve and clearance adjustment mechanism of the concave plate sieve, were designed and analysed. Through the force analysis of the concave plate sieve of the picking device, the mathematical model of the concave plate sieve displacement of the picking device and feeding rate was obtained. The software system for monitoring, storing and analysing the concave plate sieve displacement of the picking device based on EasyBuilder Pro was designed, and the road monitoring test of displacement variation of concave plate sieve of the picking device and feeding rate was carried out. The linear function, power function, exponential function, quadratic function, compound function, logarithmic function and cubic function fitting were used to perform regression analysis of the test results by using IBM SPSS software. The results showed that the cubic function model had a higher fitting precision, and its determination coefficient was 0.992. Model verification experiments were proposed, and the results showed that the established cubic function model had a good accuracy. The absolute deviation rate ranged from 0 to 4.83%, and the average deviation rate was 2.22%. The deviation rate increased with an increasing feeding rate. The field experiments also proved that there was a cubic function relationship between the feeding rate and concave plate sieve displacement, the measured concave plate sieve displacement deviation rate ranged from 0 to 6.19%, and the average deviation rate was 2.73% compared with the calculated results. This study can provide a reference for the optimization design of the structure of full-feeding picking devices for peanuts and other crops and the intelligent measurement and control of the feeding rates.
Keywords: agricultural machinery, peanut, picking device, feeding rate, concave plate sieve displacement, EasyBuilder
DOI: 10.25165/j.ijabe.20231606.8135

Citation: Wang S Y, Peng B L, Wu H C, Hu Z C, Sun D W, Wang Y W, et al. Design and modelling of the full-feed peanut picking device with self-adaptive adjustable working clearance and feeding rate. Int J Agric & Biol Eng, 2023; 16(6): 97–106.

Keywords


agricultural machinery, peanut, picking device, feeding rate, concave plate sieve displacement, EasyBuilder

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References


Wang S Y, Hu Z C, Chen Y Q, Wu H C, Wang Y W, Wu F, et al. Integration of agricultural machinery and agronomy for mechanised peanut production using the vine for animal feed. Biosystems Engineering, 2022; 219: 135–152.

Xu N, Shang S Q, Wang D W, He X N, Gao Z, Liu J Q, et al. Design and research of spike tooth type peanut picking device with longitudinal axial flow. Journal of Agricultural Mechanization Research, 2020; 42(8): 197–201. (in Chinese)

Chen Z Y, Gao L X, Chen C, Butts C L. Analysis on technology status and development of peanut harvest mechanization of China and the United States. Transactions of the CSAM, 2017; 48(4): 1–21. (in Chinese)

Zheng J M, Wang D W, Shang S Q, He X N, Xu N, Gao Z H, et al. Design and test of feeding and conveying device of peanut pickup combine harvester. Journal of Agricultural Mechanization Research, 2023; 45(4): 81–87, 94. (in Chinese)

Jaime C N. Current status and strategies for harvest mechanization of peanut in Mexico. SSRG International Journal of Agriculture & Environmental Science (SSRG-IJAES), 2015; 2(1): 7–15.

Gao L X, Chen Z Y, Charles C, Butts C L. Development course of peanut harvest mechanization technology of the United States and enlightenment to China. Transactions of the CSAE, 2017; 33(12): 1–9. (in Chinese)

Wang B, Hu Z C, Peng B L, Zhang Y H, Gu F W, Shi L L, et al. Structure operation parameter optimization for elastic steel pole oscillating screen of semi-feeding four rows peanut combine harvester. Transactions of the CSAE, 2017; 33(21): 20–28. (in Chinese)

Ministry of Agriculture and Rural Affairs of the People’s Republic of China. 2021 China agricultural mechanization Yearbook. Beijing: China Agricultural Science and Technology Press, 2021. (in Chinese)

Zhang Y W, Yin Y X, Meng Z J, Chen D, Qin W C, Wang Q, et al. Development and testing of a grain combine harvester throughput monitoring system. Computers and Electronics in Agriculture, 2022; 200: 107253.

Omasa K, Ono E, Ishigami Y, Shimizu Y, Araki Y. Plant functional remote sensing and smart farming applications. Int J Agric & Biol Eng, 2022; 15(4): 1–6.

Doungpueng K, Saengprachatanarug K, Posom J, Chuan-Udom S. Selection of proper combine harvesters to field conditions by an effective field capacity prediction model. Int J Agric & Biol Eng, 2020; 13(4): 125–134.

Wangette I S, Nyaanga D M, Njue R M. Influence of groundnut and machine characteristics on motorised sheller performance. American Journal of Agriculture and Forestry, 2015; 3(5): 178–191.

Afshin A M, Shamsollah A, Hossein N, Mohammad M V. Comparing of peanut harvesting loss in mechanical and manual methods. International Journal of Advanced Biological and Biomedical Research, 2014; 2(5): 1475–1483.

Robert J A. Combine harvester rotorload control, US6036597, 2000.

Waree S, Somchai C U, Khwantri S P. Design factors affecting losses and power consumption of an axial flow corn shelling unit. Songklanakarin J. Sci. Technol, 2016; 38(5): 591–598.

Gomez-Gil J, Lopez-Lopez L J, Navas-Gracia L M, Ruiz- Ruiz G. The spatial low-pass filtering as an alternative to interpolation methods in the generation of combine harvester yield maps. Applied Engineering in Agriculture, 2011; 27(6): 1087–1097.

Liu Y C, He K, Wang Q, Geng D Y, Li Z P, Zhang S H. Design and experiment of 4HJZ-4A peanut collecting and picking machines. Journal of Agricultural Mechanization Research, 2019; 41(5): 121–126, 132. (in Chinese)

Xu N, Wang D W, Shang S Q, et al. The optimum design and kinematics analysis of the picking device of peanut combine harvester. Journal of Agricultural Mechanization Research, 2021; 43(12): 128–132. (in Chinese)

Sun Y F, Liu R J, Zhang M, Li M Z, Zhang Z Q, Li H. Design of feed rate monitoring system and estimation method for yield distribution information on combine harvester. Computers and Electronics in Agriculture, 2022; 201: 107322.

Qiu Z M, Shi G X, Zhao B, Jin X, Zhou L M. Combine harvester remote monitoring system based on multi-source information fusion. Computers and Electronics in Agriculture, 2022; 194: 106771.

Ospina R, Noguchi N. Improved inclination correction method applied to the guidance system of agricultural vehicles. Int J Agric & Biol Eng, 2020; 13(6): 183–194.

Chandio F A, Li Y M, Ma Z, Ahmad F, Syed T N, Shaikh S A, et al. Influences of moisture content and compressive loading speed on the mechanical properties of maize grain orientations. Int J Agric & Biol Eng, 2021; 14(4): 41–49.

Rakun J, Pantano M, Lepej P, Lakota M. Sensor fusion-based approach for the field robot localization on Rovitis 4.0 vineyard robot. Int J Agric & Biol Eng, 2022; 15(6): 91–95.

Li Y M, Wang J P, Xu L Z, Tang Z, Xu Z H, Wang K J. Design and experiment on adjusting mechanism of concave clearance of combine harvester cylinder. Transactions of the CSAM, 2018; 49(8): 68–75. (in Chinese)

Tang Z, Zhang B, Wang M L, Zhang H T. Damping behaviour of a prestressed composite beam designed for the thresher of a combine harvester. Biosystems Engineering, 2021; 204: 130–146.

Wang X W, Xie F P, Li X, Liu D W, Wang X S. Design and experiment on threshing and separation device with adjustable concave clearance. Journal of Hunan Agricultural University (Natural Sciences), 2019; 45(2): 205–211. (in Chinese)

Wang X W, Xie F P, Ren S G, Wang X S, Zhang Z Z. A mathematical model and test of the horizontal axial flow threshing separation device. Journal of Hunan Agricultural University (Natural Sciences), 2020; 46(4): 480–487. (in Chinese)

Zhu X L, Chi R J, Du Y F, Qin J H, Xiong Z X, Zhang W T, et al. Experimental study on the key factors of low-loss threshing of high-moisture maize. Int J Agric & Biol Eng, 2020; 13(5): 23–31.

Fan C L, Zhang D X, Yang L, Cui T, He X T, Zhao H H. Development and performance evaluation of the electric-hydraulic concave clearance control system based on maize feed rate monitoring. Int J Agric & Biol Eng, 2022; 15(2): 156–164.

Liu Y, Li Y, Chen L, Zhang T, Liang Z, Huang M, Su Z. Study on performance of concentric threshing device with multi-threshing gaps for rice combines. Agriculture, 2021; 11(10): 1000.

Tian L Q, Zhang Z Z, Xiong Y S, Lv M Q, Jin R D. Development and experiment on 4LZ-4. 0 type double speed and double action rice combine harvester. International Journal of Frontiers in Engineering Technology, 2020; 2(3): 1–15.

Li X Y, Du Y F, Guo J L, Mao E R. Design, simulation, and test of a new threshing cylinder for high moisture content corn. Applied Sciences, 2020; 10: 4925.

Su Z. Study on adaptive control method of variable diameter roller and threshing device of rice combine harvester. Jiangsu University, Zhenjiang, China, 2020. (in Chinese)

Zhao S H. Measurement system design of cross-axial flow threshing roller feeding rate based on thin film sensor. Huazhong Agricultural University, Wuhan, China, 2020. (in Chinese)

You H Y, Lu W T. Fuzzy control system for feed quantity of combine harvester. Journal of Northwest A&F University:Natural Science Edition, 2015; 43(5): 229–234. (in Chinese)

Wang S Y, Hu Z C, Xu H B, Cao M Z, Yu Z Y, Peng B L. Design and test of pickup and conveyor device for full-feeding peanut pickup harvester. Transactions of the CSAE, 2019; 35(19): 20–28. (in Chinese)

Liu D Q, Liu L, Sun Q T, Qian K, Jin T T, Wang D W, et al. Simulation and test of divergent belt peanut pod classifier based on EDEM. Jiangsu Agricultural Science, 2022; 50(3): 196–201. (in Chinese)

Huynh V M, Powell T, Siddall J N. Threshing and separating process-a mathematical model. Transactions of the ASAE, 1982; 20(1): 65–73.

Chen D, Wang S M, Kang F, Zhu Q Y, Li X H. Mathematical model of feeding rate and processing loss for combine harvester. Transactions of the CSAE, 2011; 27(9): 18–21. (in Chinese)




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