DEM-based parameter optimization and tests of digging green onions

IF 2.2 2区农林科学 Q2 AGRICULTURAL ENGINEERING

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI:10.25165/j.ijabe.20231604.7828

Fangyan Wang, Zhuchuan Qiu, Yongfei Pan, Guangquan Sun

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Abstract

In view of the problems of easy damage and high digging resistance in the process of green onion harvesting, a mechanical model of digging green onions was established by taking the moment of digging and drawing green onions as the research object, and the main factors affecting the digging and harvesting effect were determined as the angle of digging, the dip angle of clamping carrier and the length of shovel. Thus, a complex simulation model of soil-green onion-digging mechanism system reflecting the state of harvesting was established, and the model was verified by testing soil compactness. The simulation tests were carried out by means of the complex simulation model of soil-green onion-digging mechanism system, making it clear that digging angle and the length of shovel have a extremely significant impact on the digging resistance, and the dip angle of the clamping carrier had a significant impact on the digging resistance. Through target optimization, the optimal combination of digging parameters was obtained, namely, the digging angle of 20°, the dip angle of clamping carrier of 25° and the shovel length of 70 mm, with the digging resistance of 1394 N at this moment. The field digging resistance test has showed that the average digging resistance is 1543 N with the average clamping damage rate of 1.27% and the average clamping loss rate of 0.44%, which can meet the requirements of green onion harvesting. Keywords: harvesting, clamping force, digging resistance, discrete element method (DEM), simulation model, green onions DOI: 10.25165/j.ijabe.20231604.7828 Citation: Wang F Y, Qiu Z C, Pan Y F, Sun G Q. DEM-based parameter optimization and tests of digging green onions. Int J Agric & Biol Eng, 2023; 16(4): 126–133 .

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基于dem的大葱挖掘工艺参数优化及试验

针对大葱采收过程中易损坏、挖掘阻力大的问题，以大葱采收的瞬间为研究对象，建立了大葱采收的力学模型，确定了影响大葱采收效果的主要因素为挖掘角度、夹持架倾角和铲长。建立了反映收获状态的土壤-青葱挖土机理系统的复杂仿真模型，并通过土壤密实度测试对模型进行了验证。利用土壤-青葱-挖掘机理系统的复杂模拟模型进行了模拟试验，结果表明，挖掘角度和铲长对挖掘阻力的影响极为显著，夹持载体倾角对挖掘阻力的影响显著。通过目标优化，得到了挖掘参数的最优组合，即挖掘角度为20°，夹紧载体倾角为25°，铲长为70 mm，此时挖掘阻力为1394 N。田间挖阻试验表明，平均挖阻为1543 N，平均夹紧损失率为1.27%，平均夹紧损失率为0.44%，可满足大葱采收要求。关键词:收获、夹紧力、挖掘阻力、离散元法(DEM)、仿真模型、大葱[DOI: 10.25165/ j.j ijabe.20231604.7828]引用本文:王凤云，邱志成，潘玉峰，孙国强。基于DEM的大葱挖掘参数优化及试验。农业与生物工程学报，2023;16(4): 126-133。

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来源期刊

International Journal of Agricultural and Biological Engineering AGRICULTURAL ENGINEERING-

CiteScore

4.30

自引率

12.50%

发文量

审稿时长

24 weeks

期刊介绍： International Journal of Agricultural and Biological Engineering (IJABE, https://www.ijabe.org) is a peer reviewed open access international journal. IJABE, started in 2008, is a joint publication co-sponsored by US-based Association of Agricultural, Biological and Food Engineers (AOCABFE) and China-based Chinese Society of Agricultural Engineering (CSAE). The ISSN 1934-6344 and eISSN 1934-6352 numbers for both print and online IJABE have been registered in US. Now, Int. J. Agric. & Biol. Eng (IJABE) is published in both online and print version by Chinese Academy of Agricultural Engineering.