Development of a power prediction model for rotary tillage in paddy loam field using DEM-MBD coupling method

초록

This study applied a DEM-MBD coupling method to predict the PTO and drawbar power requirements of a rotary tiller and evaluated the predictions against field experiments. The implement geometry was reverse-engineered via 3D scanning and simulated in EDEM and RecurDyn to model soil-machine interactions. Two operating cases-rotary tillage without prior primary tillage and with prior primary tillage-were examined to predict PTO torque and draft force. Field data recorded at 1 kHz were down-sampled to 50 Hz for direct comparison. The mean prediction accuracies were 93.9 % and 87.8 % for PTO power and 90.2 % and 77.4 % for drawbar power in the first and second scenarios, respectively. Dynamic Time Warping analysis was also performed to quantify the temporal alignment of dynamic load patterns. These findings offer a practical foundation for power source selection and design optimization of PTO-driven agricultural implements. While the study focused on a specific sandy clay loam soil (46 % sand, 34 % silt, and 20 % clay), the proposed method shows potential for broader applicability, which should be verified under varying soil and operational conditions.

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