Optimized design of electric shovel working device structure based on BLISCO framework
WANG Xin
WU Juan
Abstract：In order to find a design solution that meets all the performance requirements while enabling the minimal trade-offs between different objectives,the bi-level integrated system collaborative optization(BLISCO)method based on approximate models is applied to the optimal design of the electric shovel structure.Firstly,a parametric model of the electric shovel was created,sample points were collected through a design of experiments that were used to screen design variables and approximate models of working devices,then a mathematical model for multi-objective optimization was developed by combining the approximate model with BLISCO method,multi-objective optimal design of the electric shovel working device was carried out at the second-generation non-dominated genetic algorithm and sequential quadratic programming were used at the system level and subsystem level,respectively.The optimized parameters were simulated again,and the results show that while solving the above problems,the hoist force and crowd force were reduced respectively by 5.4%and 6.13%,and the angle between the stick and the wire rope was increased by 1.4%.Finally,the electric shovel working device test platform before and after the optimization was built for testing and the correctness of the optimization results was verified.
Keywords：Mining electric shovelWorking deviceStructural optimizationMulti-objective optimization
Publication Date：2025-11-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 98-106 )