Increasing the width of disturbance of plough pan with bionic inspired subsoilers

Song, Wei; Jiang, Xiaohu; Li, Lekai; Ren, Lili; Jin, Tao

doi:10.1016/j.still.2022.105356

Cited by 42 publications

(27 citation statements)

References 32 publications

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“…The soil water content was measured at 12 measurement sites, where the water content at 0-5 cm and 25-50 cm soil was collected, and we took the average value of the two. This was performed by placing the collected soil samples into aluminum boxes and weighing them in a balance with an accuracy of 0.1 mg (M w ), and then drying the boxes and soil samples in an oven at 105 • C for a sufficient time until there was no change in the weight (M d ) [10]. The soil water content was calculated as shown in Equation (1):…”

Section: Structural Parameter Design Of a Pneumatic Subsoiling Shovelmentioning

confidence: 99%

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A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques

et al. 2023

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In order to explore the drag reduction mechanism of pneumatic subsoiling and study the influence of pneumatic subsoiling on the soil, this study used machine learning models to predict the working resistance of a pneumatic subsoiler and adopted random forest (RF), error back-propagation (BP), eXtreme gradient boosting (XGBoost) and support vector regression (SVR) to analyze and compare the predictions of these four models. Field experiments were carried out in two fields with different bulk densities and moisture content. The effects of these parameters on the resistance of pneumatic subsoiling were studied by changing the working air pressure, depth and forward speed. In the RF, SVR, XGBoost and BP models, five parameters (working air pressure, working depth, forward speed, bulk density and moisture content) were inputted as independent variables, and the operating resistance of pneumatic subsoiling was used as the predicted value. After training the four models, the results showed that the R2 value of the RF model was the highest and the error was the smallest, which made it better than the SVR, XGBoost and BP models. The values of MAPE, R2 and RMSE for the RF model’s test set were 0.01, 0.99, and 3.61 N, respectively, indicating that the RF model could predict the resistance value of subsoiling well. When the RF model was used to analyze the five input parameters, the experimental results showed that the contribution of working air pressure to reducing the resistance of subsoiling reached 29%, indicating that pneumatic subsoiling can reduce the resistance, drag and consumption.

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Section: Structural Parameter Design Of a Pneumatic Subsoiling Shovelmentioning

confidence: 99%

“…The current research on reducing the resistance and consumption of subsoiling has mainly focused on constructing subsoiling models through discrete element simulation. Through analyses of the models, the disturbance range and resistance of subsoiling can be studied [9][10][11]. The research object of this study was a pneumatic subsoiler.…”

Section: Introductionmentioning

confidence: 99%

A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques

et al. 2023

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“…Refer to the relevant literature [10][11][12][13][14][15] and determine the simulation parameters of the soil model as shown in Table 2. The X _ T format 3D tool model is imported into EDEM, and the algorithm between particles is set as Hertz-Mindin with JKR, and the bonding energy is set to 10J [16][17][18] . The algorithm applies Hertz-Mindin ( no slip ) dynamic model and adds van der Waals force between particles to simulate the cohesive force between soil [19] .…”

Section: Parameter Calibration and Simulation Model Establishmentmentioning

confidence: 99%

Simulation analysis of root cutting process of corrugated cutter head

Jiang¹,

Cen²,

Li³

et al. 2022

International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022)

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Corrugated cutter head is the key component of grassland root cutting machine, which directly affects the operation performance of root cutting machine and the improvement effect of degraded grassland. EDEM was used to establish the discrete element simulation model of soil cutting root of corrugated cutter head. The soil disturbance, root cutting resistance and stress-strain characteristics of corrugated cutter head during root cutting process were analyzed. The simulation results show that the root cutting performance of corrugated cutter head meets the requirements of grassland improvement agriculture, and the corrugated cutter head meets the mechanical requirements of strength and stiffness. The research results can provide reference for the design of adaptability, reliability and durability of corrugated cutter head.

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“…Moreover, when soil water stress is absent, deep tillage does not promote the crop yield anymore (Akinci et al, 2004). Subsoiler types could have different effects and narrow tine distance or larger slotting width usually increases the loosening intensity but is energy-consuming and has higher re-compaction risks (Hartmann et al, 2008;Spoor, 2006;Song et al, 2022). Deep tillage increases soil water content and evapotranspiration while in some cases, with deeper tillage depth, it could accelerate water drainage (Kuang et al, 2021) and decrease crop yield (Kuang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Quantifying the impact of induced topsoil and historical subsoil compaction as well as the persistence of subsoiling

Ren

Cornelis²,

Ruysschaert³

et al. 2022

Geoderma

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Increasing the width of disturbance of plough pan with bionic inspired subsoilers

Cited by 42 publications

References 32 publications

A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques

A Study of a Model for Predicting Pneumatic Subsoiling Resistance Based on Machine Learning Techniques

Simulation analysis of root cutting process of corrugated cutter head

Quantifying the impact of induced topsoil and historical subsoil compaction as well as the persistence of subsoiling

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