基于改进遗传算法的采煤机牵引部行走轮优化设计  

Optimization Design of Shearer Traction Wheel Based on Improved Genetic Algorithm

作　　者：李明昊 郝哲 赵丽娟[2,3] 牛昊 韩哲一 LI Minghao;HAO Zhe;ZHAO Lijuan;NIU Hao;HAN Zheyi(School of Mechanical Engineering,Shenyang Ligong University,Shenyang 110159,China;College of Mechanical Engineering,Liaoning Technical University,Fuxin 123000,China;Liaoning Provincial Key Laboratory of Large-Scale Mining Equipment,Fuxin 123000,China)

机构地区：[1]沈阳理工大学机械工程学院,沈阳110159 [2]辽宁工程技术大学机械工程学院,辽宁阜新123000 [3]辽宁省大型工矿装备重点实验室,辽宁阜新123000

出　　处：《煤炭技术》2024年第4期234-237,共4页Coal Technology

基　　金：国家自然科学基金-面上项目(51674134);辽宁省教育厅基本科研项目-青年项目(LJKQZ20222448);辽宁省教育厅基础项目(LJ2019JL024)。

摘　　要：行走轮是采煤机牵引部的重要零件,其可靠性对采煤机的工作效率和可靠性有着直接的影响。基于采煤机虚拟样机模型的仿真数据,利用机械优化设计理论建立煤机牵引部行走轮动态可靠性,选取行走轮齿根圆角和花键轴段倒圆角为设计变量,行走轮等效应力为目标函数,构建行走轮的优化设计函数。利用改进遗传算法求得行走轮结构尺寸的最优解。仿真结果表明:行走轮优化后的最大应力395.09 MPa,降低20.008%,有效地提高了行走轮的综合性能。The walking wheel was an important part of the shearer traction department,and its reliability had a direct impact on the efficiency and reliability of the shearer.Based on the shearer's virtual prototype model,the wheels'dynamic reliability of the shearer traction part was established by using the theory of mechanical optimization design.The equivalent stress of the traveling wheel was the objective function,and the optimal design function of the traveling wheel was constructed.An improved genetic algorithm was used to obtain the wheel's optimal structure size.The simulation results show that the wheel's max-stress is 395.09 MPa,which is reduced by 20.008%,and the comprehensive performance of the walking wheel is effectively improved.

关 键 词：采煤机 虚拟样机 行走轮 遗传算法 优化设计 

分 类 号：TD421[矿业工程—矿山机电]