摘要
基于接触力学理论建立了滚刀摩擦耗能数学模型,对影响摩擦耗能的主要参数进行了显著性分析。以滚刀摩擦耗能差异最小为原则,通过遗传算法对原刀盘极径、极角以及滚刀半径选型建立优化模型。以TB880E刀盘为实例,研究表明:优化边缘滚刀刀间倾角后,摩擦耗能标准差降低88.78%;优化中心滚刀刀间距后,摩擦耗能标准差降低4.15%;重选边缘滚刀半径后摩擦耗能标准差降低16.4%;极角优化后径向不平衡力降低28.22%;倾覆力矩降为10.33 N·m。该研究可用于刀盘的布置设计及滚刀半径选型,对减少滚刀磨损量差异和提高掘进效率具有重大意义。
Based on the contact mechanics theory,the mathematical model of the frictional energy consumption of disc cutter was established,and the significant analysis was carried out on the main parameters affecting frictional energy consumption.The model followed the principle of minimizing the frictional energy difference of disc cutters and utilized the genetic algorithm to optimize the polar radius,polar angle and the selection of cutter radius.Taking the cutterhead of TB880 E as an object,the research revealed that after optimizing the tilt angles of the gage cutters,the standard deviation of friction energy consumption is reduced by 88.78%.After optimizing the center disc cutter distance,the standard deviation of friction energy consumption is reduced by 4.15%.After re-selecting the radial of gage cutters,the standard deviation of friction energy consumption is reduced by 16.4%.After optimizing polar angle,the unbalanced radial force is reduced by 28.22%,and the overturning moment can be reduced to 10.33 N·m.This research can be used for the layout design of cutterhead and radius selection of disc cutters,which is of great significance for reducing the difference in cutter wear and improving the efficiency of excavation.
作者
乔金丽
孟秋杰
刘建琴
徐源浩
薛桂香
Qiao Jinli;Meng Qiujie;Liu Jianqin;Xu Yuanhao;Xue Guixiang(School of Civil Engineering and Transportation,Hebei University of Technology,Tianjin 300401,P.R.China;School of Mechanical Engineering,Tianjin University,Tianjin 300072,P.R.China;School of Artificial Intelligence,Hebei University of Technology,Tianjin 300401,P.R.China)
出处
《地下空间与工程学报》
CSCD
北大核心
2020年第2期531-539,共9页
Chinese Journal of Underground Space and Engineering
基金
国家自然科学基金(5167050969)。
关键词
全断面硬岩掘进机
滚刀
摩擦耗能
多目标优化
遗传算法
full-face rock tunnel boring machine
disc cutter
friction energy consumption
multi-objective optimization
genetic algorithm