Paper
18 July 2023 Simulation research on rotary tillage straw burying performance based on EDEM
Qiang Fang, Shukun Cao, Hongbin Wang, Chong Cao, Xiangqian Xu, Yungan Zhang
Author Affiliations +
Proceedings Volume 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023); 127441C (2023) https://doi.org/10.1117/12.2689092
Event: Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 2023, Nanjing, China
Abstract
In recent years, deep loosening, rotary tillage, fertilization and other land tillage methods have been vigorously promoted in major crop production areas. Rotary tiller is a kind of tillage appliance which is driven by tractor and rotates the rotary tiller to break up soil and bury straw. During the operation, chemical fertilizers and pesticides can be evenly mixed in the soil and straw can be mixed in the whole tillage layer. The better the mixing of straw and soil, the larger the contact area between straw and soil will not only improve the metabolism of microorganisms in soil, but also improve the decomposition rate of straw. When people study the condition of straw in soil, because the covering condition of straw in soil after rotary tillage is not easy to be observed in the actual working soil, simulation analysis is carried out by EDEM2020 on the way of straw soil mixed into the field. After treatment with EDEM2020, the percentage of surface straw in the total quantity is counted and the percentage of straw mixed into the soil is taken as the evaluation index.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiang Fang, Shukun Cao, Hongbin Wang, Chong Cao, Xiangqian Xu, and Yungan Zhang "Simulation research on rotary tillage straw burying performance based on EDEM", Proc. SPIE 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 127441C (18 July 2023); https://doi.org/10.1117/12.2689092
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KEYWORDS
Soil science

Particles

Design and modelling

Modeling

3D modeling

Statistical analysis

3D applications

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