Biosystems Engineering最新文献_第6页

An encircled air-blowing-assisted seed guiding method based on coupled CFD-DEM simulation 基于CFD-DEM耦合模拟的绕风辅助导种方法

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-25 DOI: 10.1016/j.biosystemseng.2025.104314

Chunling Zhang , Tao Liu , Yazi Wang , Liqing Chen , Jun Fang , Ce Liu

This study proposes a method of encircled air-blowing-assisted (EABA) seed guiding, aimed at enhancing the operational quality of the seed guide device. Based on the principles of airflow delivery, an analysis of the force acting on maize is conducted, leading to the identification of the key structural parameters for an EABA seed guide device. The process of maize descent within an encircled airflow was simulated by means of a coupling approach of the discrete element method (DEM) and computational fluid dynamics (CFD). The airflow conditions near the seeds were analysed, and the results indicated that the airflow exerted a constraining effect on seeds positioned at different locations within the tube. The movement of maize seeds within the seed guide tube was analysed. The results indicated that, at an operational velocity of 8 km h⁻¹, the average number of collisions between 100 adjacent maize seeds and the walls of the seed guide tube under air-blowing conditions decreased by 45.2 % compared to unaerated-blowing conditions. Additionally, the movement time of seed within the tube was reduced by 18.9 %, and the coefficient of variation for maize spacing after sowing improved by 13.9 %. High-speed photography experiments and bench tests have validated the accuracy of the simulations.

为了提高导种装置的运行质量，提出了一种环形吹气辅助导种方法。根据气流输送原理，分析了作用在玉米上的力，确定了EABA导种装置的关键结构参数。采用离散元法（DEM）和计算流体力学（CFD）相结合的方法，模拟了玉米在环形气流中的降落过程。对种子附近的气流状况进行了分析，结果表明气流对位于管内不同位置的种子有一定的约束作用。分析了玉米种子在导种管内的运动规律。结果表明，在运行速度为8 km h−1时，吹气条件下相邻100粒玉米种子与导种管壁的平均碰撞次数比不吹气条件下减少了45.2%。种子在筒内的运动时间缩短了18.9%，玉米播后行距变异系数提高了13.9%。高速摄影实验和台架试验验证了仿真的准确性。

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引用次数: 0

3D reconstruction of orchard scenes based on UAV images and neural radiance fields 基于无人机图像和神经辐射场的果园场景三维重建

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-24 DOI: 10.1016/j.biosystemseng.2025.104319

Heng Chen , Jiale Cao , Jianshuo An , Wenbin Li (Corresponding author. School of Technology, Beijing Forestry University, Beijing, 100083, China.) , Xiaopeng Bai , Daochun Xu

This paper proposes NERF-F, a three-dimensional (3D) reconstruction method for orchard scenes using unmanned aerial vehicle (UAV) images and neural radiance fields (NERF) theory, to address the challenges of large-scale orchard point cloud reconstruction. Multi-view images of orchards are captured using a DJI Phantom 4 UAV, and the camera motion model is established. A method to recover camera poses from UAV position and orientation system (POS) data is introduced, with the images and pose data fed into a multilayer perceptron (MLP) network for rendering. This process generates a NERF that describes the orchard scene's colour and voxel density. The MLP network weights are optimised via a loss function, iterating until convergence. After training, the orchard NERF is used to generate and export the orchard point cloud model. Experimental results showed that NERF-F accurately reconstructed macro structures such as tree crowns, terrain, tree height, and inter-tree spacing. Individual tree models exhibited clear outlines and accurate crown structures. The average reconstruction time was 1.05 h, producing point clouds with tens of millions of points. The reconstruction accuracy of the orchard model was 92.15 %, with centimetre-level scale accuracy. For tree height and canopy area, the mean relative errors were 2.11 % and 8.01 %, respectively. Compared to SFM-MVS and PIX4D, NERF-F outperformed in point cloud density, reconstruction accuracy, and measurement precision, providing a solid foundation for digital orchard development.

针对大规模果园点云重建的挑战，提出了一种基于无人机（UAV）图像和神经辐射场（NERF）理论的果园场景三维重建方法NERF- f。利用大疆幻影4无人机采集果园多视角图像，建立摄像机运动模型。介绍了一种从无人机定位系统（POS）数据中恢复相机姿态的方法，并将图像和姿态数据输入多层感知机（MLP）网络进行渲染。这个过程产生一个NERF，描述果园场景的颜色和体素密度。MLP网络权重通过损失函数进行优化，迭代直到收敛。训练完成后，利用果园NERF生成并导出果园点云模型。实验结果表明，NERF-F能准确地重建树冠、地形、树高和树间距等宏观结构。单个树模型显示出清晰的轮廓和准确的树冠结构。平均重建时间为1.05 h，生成数千万个点的点云。果园模型的重建精度为92.15%，具有厘米级尺度精度。树高和冠层面积的平均相对误差分别为2.11%和8.01%。NERF-F在点云密度、重建精度、测量精度等方面均优于SFM-MVS和PIX4D，为数字果园的发展提供了坚实的基础。

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引用次数: 0

Evaluation of the working performance of different digging shovels based on the maize root-soil complex model 基于玉米根-土复合模型的不同挖土铲工作性能评价

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-22 DOI: 10.1016/j.biosystemseng.2025.104316

Hailong Che , Hua Zhou , Zhengzhong Li , Xian Wang , Xianliang Wang , Zhongcai Wei , Yanjun Li , Yinping Zhang

Maize stubble treatment is challenging and significantly impacts the quality of subsequent sowing operations. This challenge is primarily attributed to the presence of the maize root-soil complex (MRSC). To better study this, a MRSC model is established using the discrete element method (DEM) based on the residual characteristics of stubble in the soil after maize harvesting. The relative error of the model parameters was merely 1.12 %, which can accurately predict the mechanical behaviour of the MRSC. A rolling digging method is also proposed, and a double-disc digging shovel (DDS) is designed. Based on the MRSC model, an in-depth study of the working processes of three digging shovels is performed. The results showed that during the operation of the DDS, the longitudinal displacement of the stubble was 206.2 mm, the forward displacement was 214.3 mm, the residual weight of the MRSC was the smallest, and the forces in all directions were the smallest. The field test showed that both the diameter and working speed of the DDS had a strong influence on operational performance. When the diameter of the DDS was 300 mm and the working speed was between 0.53 and 0.74 m s^-1, the DDS achieved an optimal digging effect on the MRSC. The results of simulation test and field test showed that the working performance of digging shovel can be accurately predicted by the MRSC model based on DEM. This study thus presents a novel solution for the treatment of maize stubble under conservation tillage conditions.

玉米残茬处理具有挑战性，并显著影响后续播种作业的质量。这一挑战主要归因于玉米根-土壤复合体（MRSC）的存在。为了更好地研究这一问题，基于玉米收获后土壤残茬残留特征，采用离散元法（DEM）建立了MRSC模型。模型参数的相对误差仅为1.12%，可以较准确地预测MRSC的力学行为。提出了一种滚动挖掘方法，并设计了一种双盘式挖掘铲。基于MRSC模型，对三台挖土机的工作过程进行了深入研究。结果表明：在DDS运行过程中，残茬纵向位移为206.2 mm，前向位移为214.3 mm， MRSC残重最小，各方向受力最小；现场试验表明，DDS的直径和工作速度对作业性能有较大影响。当DDS直径为300 mm，工作速度为0.53 ~ 0.74 m s-1时，DDS对MRSC的挖掘效果最佳。仿真试验和现场试验结果表明，基于DEM的MRSC模型能较准确地预测挖掘铲的工作性能。本研究为保护性耕作条件下玉米残茬的处理提供了一种新的解决方案。

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引用次数: 0

Study on influencing factors of the integrated reflux refilling centrifugal variable-diameter maize metering device 一体化回流再填充离心变径玉米计量装置的影响因素研究

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-22 DOI: 10.1016/j.biosystemseng.2025.104315

Zijuan Zhang , Pengfei Zhao , Xiaojun Gao , Zhongjun Liu , Qinghui Lai , Hua Li

High speed precision seeding is an important means to improve maize yield per unit area. However, increased ground speed generates excessive centrifugal force in pneumatic seed metering devices, which drastically reduces filling time and leads to severe declines in seeding quality. Therefore, a novel maize seed metering device combining seed outward migration and seed supply regulation was designed and optimised, enabling precise single-seed filling via an innovative integrated reflux refilling front shell. Key parameters of the centrifugal variable-diameter seed board were calculated, and the structure and size parameters of the front shell were optimised. Optimal working parameters of the seed-metering devices assembled with two different front shells were obtained by single factor experiments. The seeding performance was compared under the optimal working parameters. The relation between seed inlet velocity and wind pressure was established, and the effects of seed inlet velocity on seeding performance were studied. Results show that the integrated reflux refilling front shell significantly stabilised seed flow, thereby improving seeding performance, achieving a qualified rate of 93.42 % with 5.38 % multiple and 1.20 % missing rates at 14 km h⁻¹ ground speed, 1.5 kPa wind pressure, and 20 seeds s⁻¹ refilling rate. The results of the seeding stability, continuous seeding, and continuous operation experiment show that the qualified rate remained above 91.00 % at 10–18 km h⁻¹ ground speeds, resolving the performance drop beyond 14 km h⁻¹. At 20 seeds s⁻¹ refilling rate, stable qualified rates (>90.00 %) were maintained under 14, 16 and 18 km h⁻¹ conditions. At a refilling rate of 20 seeds s⁻¹ and a wind pressure of 1.5 kPa, the qualified rate exceeded 88.00 % during the acceleration stage (0–14 km h⁻¹) and deceleration stage (14∼0 km h⁻¹), meeting continuous operation requirements.

高速精准播种是提高玉米单产的重要手段。然而，地面速度的增加会在气动种子计量装置中产生过大的离心力，这大大减少了填充时间，导致种子质量严重下降。因此，设计并优化了一种结合种子向外迁移和种子供应调节的新型玉米种子计量装置，通过创新的集成回流灌装前壳实现精确的单粒灌装。对离心变径种子板的关键参数进行了计算，并对前壳的结构和尺寸参数进行了优化。通过单因素试验，得到了两种不同前壳组合的排种器的最佳工作参数。比较了最优工作参数下的播种性能。建立了种子入口速度与风压的关系，研究了种子入口速度对种子播种性能的影响。结果表明：在14 km h−1地面速度、1.5 kPa风压、20粒s−1灌浆速率条件下，一体化回流灌浆前壳显著稳定了种子流动，提高了播种性能，灌浆合格率为93.42%，多次合格率为5.38%，漏报率为1.20%；播种稳定性、连续播种和连续运行试验结果表明，在10 ~ 18 km h−1地面速度下，播种合格率保持在91.00%以上，解决了超过14 km h−1时的性能下降问题。在20粒种子s−1灌浆速率下，14、16和18 km h−1条件下保持稳定的合格率（90.00 %）。在加速期（0 ~ 14 km h−1）和减速期（14 ~ 0 km h−1）充注率为20粒s−1、风压为1.5 kPa时，合格率均超过88.00%，满足连续运行要求。

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引用次数: 0

Design and performance analysis of an electric threshing drum and its speed control system for combine harvester 联合收割机电动脱粒鼓及其调速系统的设计与性能分析

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-18 DOI: 10.1016/j.biosystemseng.2025.104313

Zhihao Zhu , Xiaoyu Chai , Lizhang Xu , Li Quan , Chaochun Yuan , En Lu , Shuofeng Weng

In response to the challenges encountered by traditional combine harvester threshing drums, such as the difficulty in maintaining speed stability amidst load fluctuations leading to increased entrainment loss, and the difficulty in adjusting speed across a wide range with varying crop types and properties, this study introduces an electric threshing drum (ETD) for combine harvesters. A motor control strategy leveraging a fractional-order non-singular sliding mode observer (FONSSMO) and model predictive control (MPC) is developed to achieve precise speed control of the ETD under load fluctuations and disturbances, with its parameters optimised using a genetic algorithm. Simulation results demonstrate that the ETD can achieve swift and accurate speed regulation. In the presence of torque interference and load transients, the proposed control method reduces the RMS value of the threshing drum's speed error by 73.96 % and the maximum speed error by 75.10 %, significantly enhancing the system's robustness. The bench test validated the efficacy and feasibility of the control strategy. Furthermore, field test results from rice harvesting showed that the combine harvester equipped with the ETD can mitigate entrainment loss rate fluctuations due to changes in vehicle speed and load compared to conventional models. At a vehicle speed of 2 m s⁻¹, it can reduce entrainment loss by ∼19–20 %, effectively enhancing harvesting efficiency.

针对传统联合收割机脱粒鼓所面临的挑战，如在负荷波动中难以保持速度稳定，导致携带损失增加，以及难以在不同作物类型和特性的大范围内调节速度，本研究介绍了一种用于联合收割机的电动脱粒鼓（ETD）。利用分数阶非奇异滑模观测器（FONSSMO）和模型预测控制（MPC）的电机控制策略，利用遗传算法对参数进行优化，实现了负载波动和干扰下ETD的精确速度控制。仿真结果表明，ETD可以实现快速、准确的调速。在存在转矩干扰和负载瞬变的情况下，该控制方法使脱粒滚筒转速误差的均方根值降低了73.96%，最大转速误差降低了75.10%，显著增强了系统的鲁棒性。台架试验验证了控制策略的有效性和可行性。此外，水稻收获的田间试验结果表明，与传统模式相比，配备ETD的联合收割机可以减轻由于车辆速度和负载变化而导致的携载损失率波动。在车速为2 m s−1时，它可以减少约19 - 20%的携带损失，有效提高收获效率。

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引用次数: 0

Assessment of light environment conditions for reconstruction of multispectral images by conditional adversarial networks 基于条件对抗网络的多光谱图像重建光环境条件评估

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-15 DOI: 10.1016/j.biosystemseng.2025.104305

Tito Arevalo-Ramirez , Oswaldo Menéndez , Juan Villacrés , Javier Guevara , Robert Guamán-Rivera , Rodrigo Demarco , Fernando Auat Cheein

Understanding vegetation through its reflectance in the visible and near-infrared spectrum is vital for gaining biophysical and structural insights about vegetation. However, the spectral reflectance on meaningful bands (e.g., red-edge, near-infrared) is not always available because of the camera's spectral response restrictions. In this context, previous research addresses the lack of multispectral information by reconstructing it using deep-learning approaches. Although there are promising outcomes, the influence of varying illumination conditions on this process still needs to be explored. Thus, this work examines if conditional Generative Adversarial Networks (cGANs) can infer environment illumination for achieving an appropriate multispectral image reconstruction. In particular, the spectral reconstruction performance of cGANs is investigated under six different scenarios with different illumination (occurring over a whole day), focusing on green, red-edge, and near-infrared bands. Note that the dataset used for this research has become publicly available. These results indicated that illumination conditions influenced the performance of cGAN models in generating spectral images. Specifically, the cGANs could not infer the source image illumination to output a reliable reconstructed spectral image. Furthermore, although including samples under different illumination improved cGANs' performance, the generated multispectral images tended to be darker than actual images.

通过植被在可见光和近红外光谱中的反射率来了解植被对于获得植被的生物物理和结构知识至关重要。然而，由于相机的光谱响应限制，在有意义的波段（如红边、近红外）的光谱反射率并不总是可用的。在此背景下，先前的研究通过使用深度学习方法重建多光谱信息来解决多光谱信息的缺乏。虽然有很好的结果，但不同的光照条件对这一过程的影响仍然需要探索。因此，这项工作考察了条件生成对抗网络（cgan）是否可以推断环境照明，以实现适当的多光谱图像重建。特别地，研究了cgan在6种不同光照情况下（全天发生）的光谱重建性能，重点研究了绿色、红边和近红外波段。请注意，本研究使用的数据集已经公开可用。这些结果表明，光照条件会影响cGAN模型生成光谱图像的性能。具体来说，cgan无法推断出源图像的照明来输出可靠的重建光谱图像。此外，尽管包含不同光照下的样本可以提高cgan的性能，但生成的多光谱图像往往比实际图像更暗。

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引用次数: 0

Expert Opinion (∗): Improving process knowledge about ammonia emission from field applied liquid manure 专家意见（*）：提高有关田间施用液体肥料排放氨的工艺知识

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-13 DOI: 10.1016/j.biosystemseng.2025.104304

Sven G. Sommer , Shabtai Bittman , Andreas Pacholski

Agriculture contributes about 80 % of global ammonia (NH₃) emissions which must therefore be reduced to tackle issues of global human health as well as biodiversity and fertilizer loss. We carried out a review of current knowledge about processes of NH₃ emissions from field applied liquid manure, which is the basis for our opinion about the need for better process understanding. Detailed information on the reviewed literature is given (supplementary material). We recommend process based research about NH₃ emission effects of a. soil surface pH and temperature on concentration of dissolved NH₃(aq); b. Liquid manure dry matter concentration (DM) and soil cation exchange; c. Liquid manure viscosity and hydrophobicity interacting with soil water content and texture; and d. Effects of weather conditions as solar radiation, wind, canopy and rainfall/irrigation.

农业贡献了全球约80%的氨（NH3）排放量，因此必须减少，以解决全球人类健康以及生物多样性和肥料损失问题。我们对目前关于田间施用液肥NH3排放过程的知识进行了回顾，这是我们认为需要更好地了解过程的基础。给出了所审查文献的详细信息（补充材料）。建议基于过程研究土壤表面pH和温度对NH3溶解浓度（aq）的影响；b.液肥干物质浓度（DM）与土壤阳离子交换；c.粪液粘度和疏水性与土壤含水量和质地的相互作用；d.天气条件的影响，如太阳辐射、风、树冠和降雨/灌溉。

引用次数: 0

Assessing thermal comfort for day-old broilers: A novel thermal stress index using computer vision 日龄肉鸡热舒适评估：一种基于计算机视觉的新型热应激指数

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-10 DOI: 10.1016/j.biosystemseng.2025.104302

Cui Gao , Özge Günaydın , Mina Mounir , Hilke Willemsen , Fien Vanlerberghe , Eduardo Romanini , Tomas Norton

Thermal stress (heat and cold stress) poses a significant challenge to day-old broilers during temporary post-hatch storage before transportation. This study presents a computer vision-based approach for automatic assessment of flock-level behavioural responses. Two behavioural indices were developed: an improved Cluster Index (CI) that incorporates convex hull area and temporal variability to quantify aggregation under cold stress, and a Temperature Stress Index (TSI) that integrates CI with an Activity Index (AI) from Gaussian Mixture Model analysis to capture activity responses to thermal stress. Experiments were conducted under controlled cold-to-hot (CH) and hot-to-cold (HC) temperature profiles using thermal and night vision cameras, with 48 chicks across four trials. For thermal image segmentation, an HRNet model achieved a final mean IoU of 93.37 %. Linear mixed models showed significant temperature effects on all three indices (p < 0.01): CI increased significantly under extreme cold (31.7 °C, p < 0.01) and semi-cold (34.4 °C_1, p < 0.01), while AI increased significantly in semi-hot (40.0 °C_1, p < 0.01) and extreme hot (42.8 °C, p < 0.01) phases. TSI was significantly elevated under extreme cold (31.7 °C, p < 0.01), semi-hot (40.0 °C_1, p < 0.01), and extreme hot (42.8 °C, p < 0.01), demonstrating its ability to detect both extreme heat and cold stress more comprehensively than AI or CI alone. Despite the initial investment in cameras and computing, this non-invasive and camera-compatible method is cost-effective compared with continuous manual monitoring or invasive physiological assays, enabling timely detection of thermal stress in day-old chicks.

热应激（热应激和冷应激）对日龄肉鸡在运输前的临时孵化后储存过程中构成了重大挑战。本研究提出了一种基于计算机视觉的群体行为反应自动评估方法。研究人员开发了两种行为指数：一种是改进的聚类指数（CI），它包含凸壳面积和时间变异性，以量化冷应激下的聚集；另一种是温度应激指数（TSI），它将CI与高斯混合模型分析的活动指数（AI）结合起来，以捕捉活动对热应激的反应。采用热像仪和夜视仪对48只雏鸡进行了4个试验，分别在可控的冷到热（CH）和热到冷（HC）温度剖面下进行了试验。对于热图像分割，HRNet模型的最终平均IoU为93.37%。线性混合模型对3个指数均有显著的温度效应（p < 0.01）： CI在极冷（31.7°C, p < 0.01）和半冷（34.4°C, p < 0.01）阶段显著升高，AI在半热（40.0°C, p < 0.01）和极热（42.8°C, p < 0.01）阶段显著升高。在极冷（31.7°C, p < 0.01）、半热（40.0°C, p < 0.01）和极热（42.8°C, p < 0.01）条件下，TSI显著升高，表明其能够比单独AI或CI更全面地检测极热和极冷胁迫。尽管在摄像机和计算机上进行了初步投资，但与连续人工监测或侵入性生理检测相比，这种非侵入性且与摄像机兼容的方法具有成本效益，能够及时检测日龄雏鸡的热应激。

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引用次数: 0

Design and optimisation of a distribution header in an alfalfa air-blown seed metering device using CFD-DEM coupled simulation 利用CFD-DEM耦合模拟设计和优化苜蓿风吹式种子计量装置中的分配集箱

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-10 DOI: 10.1016/j.biosystemseng.2025.104306

Changbin He , Dejin Qiao , Chaoyu Du , Hongwei Jing , Yanying Guo

Pneumatic seed metering devices have become increasingly important in modern agriculture and forage production. This paper presents a novel approach to enhancing the efficiency of alfalfa seed planting through the development of an optimised distribution header in an air-blown seed metering device. By employing a coupled Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) simulation, the study explores the fluid mechanics principles underlying pneumatic seed-metering technologies. Subsequently, by analysing the dynamic interactions between the air flow and seeds movement, and combining single-factor and orthogonal experiments, the research identified optimal design parameters that maximised the uniformity in the seed distribution. Finally, a test bench was constructed and related indoor experiments were conducted to validate the performance. The results indicated that the air velocity, the cone-apex angle, and the inlet tube diameter all affected the moving state of the air-seed flow in the distributor. The influence on the variation coefficient of seeds distribution (CV) was ranked as follows: top cover cone angle (θ₂) > outlet pipe inclination angle (θ₁) > inlet diameter (D). The optimal structure parameters were θ₂ = 120°, θ₁ = 60°, and D = 50 mm. With these values, the average CV was 7.69 %, which is appropriate for alfalfa seeding for pneumatic no-till seeders. The findings provide an efficient solution for seeding pasture seeds that are characterised by an irregular shape, small particles, and poor mobility.

气动排种装置在现代农业和饲料生产中发挥着越来越重要的作用。本文提出了一种新的方法来提高苜蓿种子种植效率，通过开发一个优化的分配头在一个风吹种子计量装置。通过耦合计算流体动力学（CFD）和离散元法（DEM）模拟，研究了气动种子计量技术的流体力学原理。随后，通过分析气流与种子运动之间的动态相互作用，结合单因素试验和正交试验，确定了最大限度地提高种子分布均匀性的最佳设计参数。最后搭建了试验台，并进行了相关的室内实验验证。结果表明，气流速度、锥尖角和进口管径均影响分布器内空气种子流的运动状态。对种子分布变异系数（CV）的影响排序为：顶盖锥角（θ2） >；出口管道倾角（θ1） >；进口直径(D)。最佳结构参数为θ2 = 120°，θ1 = 60°，D = 50 mm。在此条件下，平均CV值为7.69%，适用于苜蓿气动免耕播种机播种。这一发现为那些形状不规则、颗粒小、流动性差的牧草种子的播种提供了一种有效的解决方案。

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引用次数: 0

Development of a FDEM model for cotton stalks based on biomechanical and structural properties 基于生物力学和结构特性的棉花秸秆FDEM模型的建立

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-10-08 DOI: 10.1016/j.biosystemseng.2025.104301

Xirui Yang , Peiyu Chen , Xingyu Wang , Haiyang Liu , Chen Ding , Haipeng Lan , Hong Zhang

In the mechanised recovery process of drip irrigation tapes, the crossing of side branches and lodged cotton stalks (CS) are significant factors contributing to the increased breakage rate. Effectively cutting the cotton stalks is key to solving this issue. Constructing a multi-scale numerical model of cotton stalks is a breakthrough method for studying their fracture process. This study analyses the mechanical properties and structural composition of different sections of cotton stalk. Based on this, adopts a finite-discrete element method (FDEM) combined with zero-thickness cohesive elements to construct a numerical model of the cotton stalk, and the model's accuracy was validated through random sampling. The results indicate that the proportion of lignified tissues in the CS gradually decreases from the base to the top, and the load-bearing capacity of the CS shifts from strong compressive and shear resistance to greater ductility and tensile strength, while the compressive force values exhibit a decreasing trend with the presence of jump points, the average values of which are located at 14.5 % (base), 56.2 % (middle), and 29.3 % (top) of the CS length. The constructed composite model of the cotton stalk accurately replicates its mechanical properties, force transfer, and damage evolution processes. The Spearman correlation coefficients for the random sampling simulation and experimental validation of CS at different sections reached 0.9998 (base) and 0.9207 (top), respectively. This study offers a groundbreaking method for investigating CS damage mechanisms and can also offer technical guidance for the recovery of drip irrigation tapes under this irrigation management model.

在滴灌带机械化回收过程中，侧枝交叉和棉秆滞留是导致滴灌带破损率增加的重要因素。有效地剪断棉秆是解决这一问题的关键。构建棉花秸秆多尺度数值模型是研究棉花秸秆断裂过程的突破性方法。本文分析了棉秆不同节段的力学性能和结构组成。在此基础上，采用有限离散元法（FDEM）结合零厚度内聚单元构建了棉秆的数值模型，并通过随机抽样验证了模型的准确性。结果表明：从底部到顶部，碳纤维中木质化组织的比例逐渐减小，碳纤维的承载能力由抗压、抗剪能力强向延性、抗拉能力强转变，而抗压力值则呈现下降趋势，其平均值分别位于碳纤维长度的14.5%（底部）、56.2%（中部）和29.3%（顶部）。所构建的复合模型准确地复制了棉秆的力学性能、力传递和损伤演化过程。CS在不同断面的随机抽样模拟和实验验证的Spearman相关系数分别达到0.9998（底部）和0.9207（顶部）。本研究为探究CS损伤机制提供了开创性的方法，也可为该灌溉管理模式下滴灌带的修复提供技术指导。

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