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        Simulation of Draught Force During Chisel Ploughing Using Discrete Element Method

        Rahmanian-Koushkaki Hossein,Mahmoodi-Eshkaftaki Mahmood,Azimi-Nejadian Hadi 한국농업기계학회 2022 바이오시스템공학 Vol.47 No.2

        Purpose Chiseling is an essential tillage practice in conservation tillage systems. One of the main methods in soil–tool behaviour analysis of a tillage implement like chisel plough is numerical simulation. The discrete element method (DEM) is one of the most powerful techniques for this purpose. In this study, draught force of a mounted type chisel plough with nine C-shanks was predicted using DEM when working in a clay-loam soil. Methods The effects of forward speed (3, 4 and 5 km h-1) and working depth (10, 15 and 20 cm) on the draught force were investigated. The available commercial EDEM software was used for the simulations, and combination of hysteric spring with cohesion/adhesion forces was employed as the contact model. Results The numerical results were compared to experimental trials and well-known analytical model (McKyes and Ali) results. The experimental results were obtained to be within 3.24–34.9% and 9–35% larger than DEM-simulated and analytical calculated draught, respectively. A regression equation was developed in accordance with the simulated data. According to the values of statistical parameters (R2, RMSE and MRD), the established model had good accuracy. Conclusions From the simulations, it was concluded that draught force increased with an increase in working depth and forward speed. Also, it was found that the DEM results had higher accuracy than analytical results.

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        DEM Simulation for Seeding Performance of a Slotted Roller Seed-Metering Device for Planting Maize in Laboratory Condition

        Baghooee Melika,Karparvarfard Seyed Hossein,Azimi-Nejadian Hadi,Keramat-Jahromi Mahdi,Balanian Hossein,Sardarpour Farhang 한국농업기계학회 2023 바이오시스템공학 Vol.48 No.4

        Purpose The seed-metering device is an essential component of the precision seeding process since it ensures accurate metering and placement of the seeds. In this study, the performance of a new slotted roller seed-metering device, used in Balanian and Karparvarfard’s (Balanian and Karparvarfard, Iranian Journal of Biosystems Engineering 51:305–317, 2020) study, was simulated in EDEM software to predict the performance and mass flow rate of the optimized condition and compare the results with the experimental data. Methods To achieve this, EDEM simulation results were compared with those obtained from the laboratory tests and the limitations of the simulation were found and discussed. The number of slots (N), angle of the mouth, and rotational velocity (n) were used in Design Expert to develop an optimized model with a high desirability rating. Results The study suggests that the metering device position in simulations may have been over-predicted due to the use of divided time steps, potentially leading to higher miss index values. Additionally, the experiments showed that the variation in grain dimensions resulted in increased multiple index values. The predicted optimized model was similar to the model obtained from the experiments which confirm EDEM was successful in predicting the device’s performance and demonstrates the utility of simulation tools in predicting and optimizing the device’s design. Conclusion This approach can significantly reduce costs and save time in the development of an optimized slotted roller seed-metering device for maize planting.

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