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基于破岩比能的刀盘滚刀优化布置设计
引用本文:郭伟,刘小庆,刘建琴,孙红艳.基于破岩比能的刀盘滚刀优化布置设计[J].东北大学学报(自然科学版),2018,39(2):242-248.
作者姓名:郭伟  刘小庆  刘建琴  孙红艳
作者单位:(天津大学 机械工程学院,天津300072)
基金项目:国家自然科学基金资助项目(51675374,51575379); 国家重点基础研究发展计划项目(2013CB035402).
摘    要:基于科罗拉多矿业学院(Colorado School of Mines)推导的CSM受力模型,采用刀盘破岩比能最低原则,以径向不平衡力和倾覆力矩最小为目标,使用标准遗传算法(GA),优化中心刀、正刀和边缘滚刀的刀间距,以及正刀和边缘滚刀的极角.以TB880E刀盘为实例计算,结果表明:优化中心刀和正刀区域的刀间距后,比能减少1.53%,优化边缘滚刀区域的刀间倾角后,比能减少了1.10%;优化正刀和边缘滚刀的极角后,径向不平衡力减少到0.1265N,倾覆力矩减少到0.7591N·m,从而减小了刀盘的变形量.该研究可用于刀盘的布刀优化设计和对破岩过程能耗的预测,可降低TBM破岩能耗,改善TBM掘进能力.

关 键 词:隧道掘进机(TBM)  破岩比能  滚刀  刀盘布局  遗传算法  

Optimized Layout Design for Cutterhead’s Disc Cutters Based on Rock-Breaking Specific Energy
GUO Wei,LIU Xiao-qing,LIU Jian-qin,SUN Hong-yan.Optimized Layout Design for Cutterhead’s Disc Cutters Based on Rock-Breaking Specific Energy[J].Journal of Northeastern University(Natural Science),2018,39(2):242-248.
Authors:GUO Wei  LIU Xiao-qing  LIU Jian-qin  SUN Hong-yan
Institution:School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
Abstract:The paper proposed a research model based on the CSM model, which was deduced by Colorado School of Mines, to minimize the unbalanced radial force and overturning moment. The model followed the principle of cutterhead minimum specific energy and utilized the normal genetic algorithm to optimize the spacing of the center cutters, the normal cutters and the gage cutters, and in turn, to improve the polar angle of the normal cutters and the gage cutters. Taking the TB880E cutterhead as an object, the research revealed that when the cutter spacing of center cutters and the normal cutters have been improved, the specific energy can be reduced by about 1.53%. Similarly, when the tilt angles of the gage cutters have been optimized, the specific energy can be reduced by about 1.10%. When the polar angles of the normal cutters and the gage cutters have been improved, the unbalanced radial force can be reduced to 0.1265N, and the overturning moment can be reduced to 0.7591N/m, which may decrease the deformation of the cutterhead. The present research can be applied in the optimization design of the locations of the disc cutters on the cutterhead and in the prediction of the energy consumption of rock fragmentation process, which can reduce the energy of the rock fragmentation and improve the boring efficiency.
Keywords:TBM  rock-breaking specific energy  disc cutter  cutterhead layout  the genetic algorithm  
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