A compacting device of rice dry direct-seeding planter based on DEM-MFBD coupling simulation significantly improves the seedbed uniformity and seedling emergence rate

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Biosystems Engineering Pub Date : 2024-07-26 DOI:10.1016/j.biosystemseng.2024.07.018
Chengliang Zhang , Xiaogeng Wang , Mingzhuo Guo , Jiale Zhao , Mingjin Li
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Abstract

The rice dry direct-seeding planting mode is a typical shallow sowing operation, and the traditional compacting mechanism with only longitudinal profiling ability is difficult to ensure the seedbed uniformity, resulting in the seedling emergence rate always lower than 80%. This study innovatively proposed a novel bidirectional-micro-profiling compacting device (BMPCD). In this study, the coupled DEM-MFBD simulation technique was utilised to find that the core design parameters k (elasticity coefficient of the reset spring) and t (thickness of the elastic sheet) of the BMPCD would significantly affect the seedbed uniformity by changing the resistance value Fr during the profiling process (P ≤ 0.01). The simulation results showed that when k was taken as 7.8 N mm−1 and t was taken as 1.6 mm, the seedbed uniformity could be most greatly improved. The field experiments showed that compared with the bidirectional profiling compacting device (BPCD) and longitudinal profiling compacting device (LPCD), BMPCD could reduce the coefficient of variation of soil firmness (CVSF) by 33.1% and 40.1%, and the coefficient of variation of sowing depth (CVSD) by 37.1% and 51.8%, respectively, and then improve the seedling emergence rate of dry direct-seeded rice by 5.8% and 12.2%. This indicated that bidirectional and micro-profiling compaction technology could tackle the problem of low seedling emergence rate in rice dry direct-seeding. Meanwhile, the results of the DEM-MFBD coupling simulation were not significantly different from the test results of the field experiments (P > 0.05), indicating that it could be used as an efficient and accurate new method to study the dynamic characteristics between the soil and machinery.

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基于 DEM-MFBD 耦合模拟的水稻旱直播播种机压实装置可显著提高苗床均匀度和出苗率
水稻旱直播种植模式是一种典型的浅播作业,传统的压实机构仅有纵向剖面压实能力,难以保证苗床均匀,导致出苗率始终低于 80%。本研究创新性地提出了一种新型双向微轮廓压实装置(BMPCD)。该研究利用 DEM-MFBD 耦合仿真技术发现,BMPCD 的核心设计参数 k(复位弹簧的弹性系数)和 t(弹性片的厚度)会通过改变仿形过程中的阻力值 Fr 对苗床均匀性产生显著影响(P ≤ 0.01)。模拟结果表明,当 k 取为 7.8 N mm-1 和 t 取为 1.6 mm 时,苗床均匀性得到最大改善。田间试验表明,与双向仿形压实装置(BPCD)和纵向仿形压实装置(LPCD)相比,BMPCD 可使土壤坚实度变异系数(CVSF)分别降低 33.1%和 40.1%,播种深度变异系数(CVSD)分别降低 37.1%和 51.8%,从而使旱直播水稻的出苗率分别提高 5.8%和 12.2%。这表明双向微压实技术可以解决水稻旱直播出苗率低的问题。同时,DEM-MFBD耦合模拟结果与田间试验结果无显著差异(P >0.05),表明它可作为一种高效、准确的研究土壤与机械动态特性的新方法。
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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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