Calibration and Modeling of Parameters for Kale Root Stubble Simulation Based on the Discrete Unit Method

IF 3.3 2区 农林科学 Q1 AGRONOMY Agronomy-Basel Pub Date : 2023-08-31 DOI:10.3390/agronomy13092298
Jun Chen, Pin Jiang, Jianfei Liu, Xiaocong Zhang, Yixin Shi
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Abstract

Today, the post-harvest root stubble treatment of kale in Hunan mostly uses manual pulling and centralized treatments, which are inefficient and labor-intensive. In this study, to realize the direct mechanical crushing of kale root stubble and return it to the field after harvesting, we established an accurate simulation model of kale root stubble by creating a model of the root stubble of kale and calibrating the parameters of the simulation. This study took Jingfeng No. 1 kale stubble as the research object and used EDEM2021.2 simulation software to study the parameters of the kale stubble-crushing simulation model. The peak shear force of the sheared kale root stubble was used as the test data, and the most significant factors affecting the shear force were screened out through the Plackett–Burman test for the Design-Expert design. In addition, the steepest climb test and Box–Behnken test were used to accurately assess the factor data to obtain the best simulation value, which was 861.02 N. The relative error between the simulated and measured values was 0.61%. Finally, an accurate simulation stubble model was established by combining the best simulation parameters with the measured stubble length and diameter. This model provides a theoretical basis and technical support for more in-depth research on stubble simulation and mechanized stubble return.
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基于离散单元法的羽衣甘蓝根茬模拟参数的标定与建模
目前,湖南羽衣甘蓝采后根茬处理多采用人工拔茬和集中处理,效率低,劳动密集。在本研究中,为了实现羽衣甘蓝根茬的直接机械破碎并在收获后将其返回田间,我们通过创建羽衣甘蓝根部残茬模型并校准模拟参数,建立了羽衣甘蓝根系残茬的精确模拟模型。本研究以景丰1号羽衣甘蓝残茬为研究对象,利用EDEM2021.2仿真软件对羽衣甘蓝碎茬模拟模型的参数进行了研究。以剪切羽衣甘蓝根残茬的峰值剪切力为试验数据,通过Plackett–Burman试验筛选出影响剪切力的最重要因素,供设计专家设计。此外,采用最陡爬升试验和Box-Behnken试验对因子数据进行了准确评估,得到了最佳模拟值861.02N。模拟值与实测值之间的相对误差为0.61%。最后,将最佳模拟参数与实测残茬长度和直径相结合,建立了准确的模拟残茬模型。该模型为更深入地研究留茬模拟和机械化留茬提供了理论依据和技术支持。
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来源期刊
Agronomy-Basel
Agronomy-Basel Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
6.20
自引率
13.50%
发文量
2665
审稿时长
20.32 days
期刊介绍: Agronomy (ISSN 2073-4395) is an international and cross-disciplinary scholarly journal on agronomy and agroecology. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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