Abstract
In order to study the hinge points load for grader’s working device, a multi-body dynamic model of the grader is established for analyzing the construction condition and obtain the load of each hinge point. The analysis method is verified by prototype test. Taking the force of the key cylinder as the optimization objective, the positions of all hinge points are optimized. The result show that the scheme reduces the maximum force of the key cylinder by 26.5%, which improve the stability of the grader.
Highlights
The grader's extensive auxiliary operating capability is due to its ability to perform 6 degrees of freedom in space[1,2]
Taking the grader as the research object, multi-body dynamics model of the vehicle was established on ADAMS which can be used in calculate the force on each hinge point of the working device under full working condition
In order to get the forces of the lifting cylinder and the centreshift cylinder, an actual vehicle test is carried out and the result is compared with the simulation
Summary
The grader's extensive auxiliary operating capability is due to its ability to perform 6 degrees of freedom in space[1,2]. The performance of the grader has been improved, the load of shoveling has been increased, and the potential instability of the lifting cylinder and the cable has been increased gradually, which affect the stability of the vehicle. In order to get the forces of the lifting cylinder and the centreshift cylinder, an actual vehicle test is carried out and the result is compared with the simulation. In order to reduce the maximum load of the cylinder and improve the stability of the whole machine, the ground mechanic loading device hinge point location parameterized model is established, which takes enhancing the maximum load of suspension cylinder as the optimization goal. In the condition of shovel knife made slope angle, the optimization design of grader work device hinge point is carried out. The forces on the left and right lifting cylinders and the centreshift cylinder are reduced, and the hinge points are arranged more rationally to achieve the optimization purpose
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