Speaker
Description
A study was conducted on dynamic modeling and efficiency optimization in tree cutting by logging machines. A mathematical model was established, considering continuous reduction of tree mass, dynamic response of the driving system, and time-varying acceleration. The variation of feed rate and its impact on cutting performance were analyzed, particularly during simultaneous pruning operations. Adaptive feeding strategies were examined for common branches and special branching structures. Through theoretical deduction and numerical simulation, it was demonstrated that under identical operating conditions, increasing the cutting length from 2.25 meters to 4 meters resulted in an approximately 33% improvement in average feed rate and a reduction in total processing time ranging between 15.6% and 19.6%. The simulation results were validated against actual operational data, with an error of less than 4.9%. The model's effectiveness was confirmed, and the feasibility of optimizing cutting length was supported. These findings provide a theoretical reference for control and process parameter optimization of logging machines.
| Keywords | logging machine; |
|---|
