Multidisciplinary Collaborative Design Optimization of Electric Shovel Working Devices

被引:0
作者
Wu, Juan [1 ,2 ,3 ]
Zhao, Junkang [1 ,2 ,3 ]
Wang, Xin [1 ,2 ,3 ]
Lin, Baoguo [1 ,2 ,3 ]
机构
[1] Taiyuan Univ Technol, Coll Mech & Vehicle Engn, Taiyuan 030024, Peoples R China
[2] Shanxi Prov Engineer Technol Res Ctr Mine Fluid Co, Taiyuan 030024, Peoples R China
[3] Natl Local Joint Engn Lab Min Fluid Control, Taiyuan 030024, Peoples R China
基金
中国国家自然科学基金;
关键词
mining electric shovels; working device; BLISCO-AM; multidisciplinary optimization; dimensional optimization; SYSTEM; MECHANISM;
D O I
10.3390/machines12080520
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The development of the open-pit mining industry has set higher performance standards for mining electric shovels. Addressing issues such as low efficiency, high energy consumption, and high failure rates in working mining electric shovel devices, this paper comprehensively considers bulk mechanics, structural mechanics, and dynamics to conduct a multidisciplinary, collaborative design optimization for electric shovels by introducing the BLISCO method, which is based on an approximated model, into the structural-optimization design process of working electric shovel devices, aiming to enhance the overall performance of electric shovels. Firstly, a dynamic model of an electric shovel is established to analyze the hoist force and crowd force during the excavation process, and an accurate load input for the dynamic analysis is provided through the bulk material mechanics model. Additionally, to ensure that the stiffness of the boom meets the requirements, the maximum stress at the most critical position of the optimized boom is considered. Subsequently, the design variables are screened through experimental design, and an approximate model is established. Focusing on the hoist force, crowd force, maximum stress at the critical position of the boom, and the angle between the dipper arm and the wire rope, a mathematical model is constructed and optimized using a two-level integrated system co-optimization framework based on an approximate model (BLISCO-AM), followed by a simulation. Finally, a test bench for the electric shovel working device is constructed to compare pre- and post-optimization performance. Experimental results show that through the optimized design, the hoist force and crowd force required in a single excavation process are reduced by 6% and 8.48%, respectively, and the maximum angle between the wire rope and the dipper arm is increased by 4%, significantly improving excavation efficiency while ensuring the safety and reliability of the equipment.
引用
收藏
页数:17
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