基于遗传算法的掘进机截割头多目标优化设计
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  • 英文篇名:MULTI-OBJECTIVE OPTIMIZATION DESIGN OF ROADHEADER’S CUTTING HEAD BASED ON THE GA
  • 作者:赵丽娟 ; 范佳艺
  • 英文作者:ZHAO LiJuan;FAN JiaYi;College of Mechanical Engineering, Liaoning Technical University;
  • 关键词:掘进机 ; 截割头 ; 回转台 ; 遗传算法 ; 优化设计
  • 英文关键词:Roadheader;;Cutting head;;Rotary table;;Genetic algorithm;;Optimization design
  • 中文刊名:JXQD
  • 英文刊名:Journal of Mechanical Strength
  • 机构:辽宁工程技术大学机械工程学院;
  • 出版日期:2018-12-06
  • 出版单位:机械强度
  • 年:2018
  • 期:v.40;No.200
  • 基金:国家自然科学基金项目(51674134)资助~~
  • 语种:中文;
  • 页:JXQD201806043
  • 页数:7
  • CN:06
  • ISSN:41-1134/TH
  • 分类号:82-88
摘要
为提高掘进机的动态可靠性,基于虚拟样机技术建立掘进机刚柔耦合模型,对不同截割头结构参数下的回转台进行动态可靠性分析,依据机械优化设计理论建立以螺旋升角、半锥角和截线距为设计变量,以回转台最大等效应力的极小值为目标函数的评价函数,利用遗传算法得到最优的截割头结构参数。基于截割生产率和回转台应力对横摆速度进行多目标纵轴优化,得到了最优的横摆速度。结果表明,经过两次优化后,回转台最大应力值降低了18.495 MPa,疲劳寿命由3.067×10~4次提高到3.326×10~6次,生产率提高了18.6 t/h,预测误差均小于1.3%,满足设计要求。为截割头结构参数和运动参数的选取提供了数据支撑,为重型复杂机械设备优化设计提供了一种新的方法。
        In order to improve the dynamic reliability of the roadheader,the roadheader's rigid-flexible coupled model was established based on virtual prototyp,dynamic reliability analysis was done on the rotary table of different structural parameters,evaluation function was established based on mechanical optimization design theory,the function's design variables was half cone angle,helix Angle and cutting line spacing, the function's objective function was the minimization of maximum equivalent stress as the objective function.The cutting head's optimal structural parameters was obtained by genetic algorithm.Based on the cutting productivity and rotary table equivalent stress, the optimal yawing speed was obtained by optimized multi-objective.The results shows that after two optimizations,rotary table maximum stress is decreased 18.495 MPa,the fatigue life is improved from 3.067 E4 to 3.326 E6,productivity is improved 18.6 t/h,prediction error is less than 1.3%,meet the design requirement.This method provides data support for the structure and kinematic parameters of cutting head,provides a new method for the optimization design of heavy complicated mechanical equipment.
引文
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