TY - JOUR
T1 - Multi-objective optimization and simulation of novel working mechanism for face-shovel excavator
AU - Li, Yunhua
AU - Mu, Xiangyang
AU - Fan, Rujun
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature.
PY - 2021/3
Y1 - 2021/3
N2 - In order to improve the working performance of the mining excavators, a new type of hydraulic excavator working device is proposed. The proposed excavator working device possesses main advantages of the Tri-Power structure, whereas the kinematic and dynamic analysis can be greatly simplified. In this paper, the kinematic model and tool force model of the new working device are established, and the working performance simulation is conducted. Simulation results show that the new device has excellent performance of level crowding, translational lifting and tool force, indicating that the proposed working device is feasible. After that, multi-objective optimization is designed based on intelligent optimization algorithm. Compared with performance before optimization, all the concerned objectives are improved, including the tool force, level crowding and translational lifting performance. The optimization result has the important reference for the design and application of the new type face-shovel excavator.
AB - In order to improve the working performance of the mining excavators, a new type of hydraulic excavator working device is proposed. The proposed excavator working device possesses main advantages of the Tri-Power structure, whereas the kinematic and dynamic analysis can be greatly simplified. In this paper, the kinematic model and tool force model of the new working device are established, and the working performance simulation is conducted. Simulation results show that the new device has excellent performance of level crowding, translational lifting and tool force, indicating that the proposed working device is feasible. After that, multi-objective optimization is designed based on intelligent optimization algorithm. Compared with performance before optimization, all the concerned objectives are improved, including the tool force, level crowding and translational lifting performance. The optimization result has the important reference for the design and application of the new type face-shovel excavator.
KW - Hydraulic excavator
KW - Optimization design
KW - Performance evaluation
KW - Working device
UR - https://www.scopus.com/pages/publications/85100615463
U2 - 10.1007/s41315-020-00160-1
DO - 10.1007/s41315-020-00160-1
M3 - 文章
AN - SCOPUS:85100615463
SN - 2366-5971
VL - 5
JO - International Journal of Intelligent Robotics and Applications
JF - International Journal of Intelligent Robotics and Applications
IS - 1
ER -