Development of a Crawler-Type Self-Propelled Machine with Trenching, Fertilizing, and Soil-Covering Components for Hilly Orchard

Agriculture, Journal Year: 2025, Volume and Issue: 15(4), P. 430 - 430

Published: Feb. 19, 2025

In response to the issues of high energy consumption, limited functionality, and uneven soil–fertilizer mixing in mechanical operations for trenching fertilizing hilly orchards, this study proposes design a crawler-type self-propelled machine, integrating three main functions: trenching, fertilizing, soil covering. The key components device, soil-covering device were designed. Three simulation models (pre-plant, mid-plant, post-plant) established using EDEM discrete element software. effects under each mode analyzed, with results indicating that post-plant better meets requirements deep organic fertilizer application. Using speed, forward bending angle knife as experimental factors, operating power consumption uniformity evaluation indicators, Box–Behnken experiment was conducted optimize parameters components. A regression model analyze interaction between factors indicators. optimal operational parameter combination determined follows: speed 265.03 r/min, 0.40 m/s, 130°. Under these parameters, 1.74 kW 77.15%, respectively. Orchard verification tests on machine showed relative errors field simulations 7.40% 4.50%, These meet agronomic provides valuable references application related technologies orchard operations.

Language: Английский

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Design and Testing of Film Picking–Unloading Device of Tillage Residual Film Recycling Machine Based on DEM Parameter Calibration

Agronomy, Journal Year: 2025, Volume and Issue: 15(4), P. 955 - 955

Published: April 14, 2025

The operating parameters and effect of a residual film recycling device can be predicted, the key determined based on DEM–MBD coupling simulation. obtained from parameter calibration are basis This study calibrates DEM for soil-touching components tillage machine. A film-picking model elastic tooth–soil–residual interactions was established. reliability contact verified by comparing simulation experimental angle repose soil–soil (43.6° vs. 42.42°, error 2.7%) film–residual (43° 43.7°, 1.6%) using funnel bucket methods. film–soil detachment developed, with force analysis showing an 8.1% between (0.34 N) experiment (0.37 N). Additionally, used to analyze recovery rate under teeth, yielding 2% (90%) (92%). provides optimization in components.

Language: Английский

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Effects of soil-tool interaction and mechanical pulverization of arable soils in tillage -a comprehensive review

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

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Optimization of Rotary Blade Wear and Tillage Resistance Based on DEM-MBD Coupling Model

Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 328 - 328

Published: Feb. 2, 2025

To solve the problems of high tillage resistance and rapid wear rotary blade during tillage, this study employed a coupled algorithm discrete element method (DEM) multi-body dynamics (MBD) with Hertz–Mindlin JKR particle contact theory to establish blade–sandy soil model. The interaction between sandy was analyzed. results indicated that lateral horizontal resistances reached peak values near maximum tilling depth, whereas vertical its earlier. Blade predominantly occurred on side cutting edge, bending zone sidelong most significant observed followed by edge which showed similar patterns. reduce resistance, Box–Behnken optimization applied optimize blade’s local parameters. optimal parameters—the height tangent end face 51 mm, radius 28 angle 116°—reduced 22.4% 12%. A disturbance analysis demonstrated optimized performs better in terms width compared unoptimized blade. achieves effects reduced wear, improves lifespan blade, reducing material loss, meeting requirements sustainable agricultural production.

Language: Английский

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Simulation analysis of mechanical response and failure mechanisms of maize stubble-soil composite based on discrete element method and fiber bundle model

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 236, P. 110452 - 110452

Published: May 8, 2025

Language: Английский

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Fuzzy backstepping controller for agricultural tractor-trailer vehicles path tracking control with experimental validation

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 17, 2024

Unmanned driving technology for agricultural vehicles is pivotal in advancing modern agriculture towards precision, intelligence, and sustainability. Among machinery, autonomous tractor-trailer (ATTVs) has garnered significant attention recent years. ATTVs comprise large implements connected to tractors through hitch points are extensively utilized production. The primary objective of current research focus on tractor-trailers enable the tractor follow a reference path while adhering constraints imposed by trailer, which may not always align with agronomic requirements. To address challenge tracking ATTVs, this paper proposes fuzzy back-stepping controller based kinematic model ATTVs. Initially, error was established trailer as positioning center Frenet coordinate system using velocity decomposition method. Then, designed algorithm calculate target front wheel steering angle tractor. gain coefficient adaptively adjusted algorithm. Co-simulation experiments were conducted MATLAB/Simulink/CarSim physical platform, respectively. Simulation results indicated that proposed reduced trailer's online time 36.33%. When following curved path, significantly lower than Stanley single In actual experiments, U-turn average absolute value lateral 65.27% maximum 87.54%. mean (MAE) values heading 0.010 0.016, respectively, integral (IAE) 1.989 2.916, effectively addresses practical challenges ATTV tracking. By prioritizing performance quality efficiency during field operations enhanced. reduction errors demonstrates effectiveness improving accuracy

Language: Английский

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