Optimization design of cutting head shape based on Particle-Ant Colony Hybrid algorithm
In addressing the issue of load fluctuations encountered by the cutting head of the EBH-150 type horizontal axis tunneling machine during the excavation process,this study employed a hybrid Particle-Ant Colony Optimization algorithm to refine the design of the existing parabolic-shaped cutting head.By utilizing the numerical simulation software Matlab,a multi-objective optimization of the arrangement parameters of the cutter teeth was conducted,aiming to diminish load fluctuations and enhance the operational stability of the tunneling machine.The optimization outcomes revealed that the spacing of the cutting lines was adjusted to gradually decrease from the exterior towards the interior,resulting in a more uniform distribution of force on each cutter tooth.There was a 62％reduction in lateral load fluctuations,and significant reductions in load fluctuations in other directions as well,all exceeding 50％.These enhancements effectively improved the stability of the machine's lateral cutting entry and contributed to extending the lifespan of the cutting head.Although there was an increase in the average load in certain directions following the optimization,the peak load values decreased,preventing the overload phenomenon of individual cutter teeth.Overall,the optimization design achieved desirable results,yet its efficacy still requires validation through practical application.This research provides effective algorithmic support for the optimization design of tunneling machine cutting heads and holds significant implications for improving the work efficiency and safety performance of tunneling machines.
NETL
NSTL
万方数据
维普
