Research on the Trajectory and Operational Performance of Wheel Loader Automatic Shoveling
Source abstract
Abstract
In the automatic shoveling operation of wheel loaders, the shovel trajectory has a significant influence on the operation’s performance. In order to obtain a suitable shovel trajectory and optimize the automatic shovel performance of the loader, we developed a test platform for the operational performance of loaders. Nine parallel shoveling trajectories of different depths were designed according to the coordination shoveling method. The formula for calculating the operational performance is established. The automatic shoveling test is performed according to the designed trajectory to obtain the real-time shoveling parameters, which are then combined with the calculation formula to calculate the operating parameters of the loader. Finally, the actual range of operational performance parameters is calculated by the normal distribution. The test results show that the trajectory with a shovel depth of 400 mm is the optimal trajectory. It was also verified by comparing manually controlled shoveling with it. With only a 1% difference in the full bucket rate, the operation time of automatic shoveling was 15.3% less than manually controlled shoveling, fuel consumption was 4.7% less, the energy consumption of practical work performed was 10.7% more, and maximum operation resistance was 20.5% lower. Therefore, the operational performance of the loader following this trajectory for shoveling meets the actual requirements.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Agricultural Engineering and Mechanization · Soil Mechanics and Vehicle Dynamics · Forest Biomass Utilization and Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
Department of Mechanical and Electrical Engineering, Guangxi Vocational College of Water Resources and Electric Power, Nanning 530023, China
Funding
National Natural Science Foundation of China · Key Projects of Guangxi Natural Science Foundation · S&T Fund of Guangxi Province
References (28)
Show source-provided references
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