Wheel set tread intelligent turning repair method based on database clustering analysis

Abstract

The invention relates to an intelligent wheel set tread turning method based on database clustering analysis, which comprises the following steps of: classifying abraded wheel treads to be turned by taking a weighted rim height, a rim comprehensive value and a rim thickness as clustering parameters and based on a k-means clustering algorithm; each type of typical worn tread profile is formed, andthe typical optimized tread profile of the type of tread profile is obtained through a multidisciplinary design optimization (MDO) analysis method and serves as a turning repair template of all the wheel treads to be subjected to turning repair; and finally, correcting the wheel diameter difference requirement of the left wheel and the right wheel of the same wheel set based on the existing turning repair procedure. Compared with the prior art, the method has the advantages that the vehicle running safety of the turned wheel tread is effectively guaranteed, and the turning economy of the wheeltread is improved.

Description

technical field [0001] The invention relates to the technical field of rail transit intelligent operation and maintenance, in particular to an intelligent turning repair method for wheel set treads based on database cluster analysis. Background technique [0002] With the continuous operation of subway trains, different degrees of wear will appear on the wheel treads and rims. When these wears exceed a certain limit, it will greatly affect the safety of train operation. The wheel treads are restored to a satisfactory condition. At the same time, in order to reduce the amount of tread repair and prolong the service life of the wheel, subway wheels are mainly repaired by grades. The process has gradually matured, but every time the rim thickness of 1mm is restored, it needs to be cut off in the direction of the wheel diameter. About 5mm, the amount of repairing in the diameter direction of the wheel tread is still relatively large. [0003] At present, there are many studies...

AI Technical Summary

Problems solved by technology

At the same time, in order to reduce the amount of tread repair and prolong the service life of the wheel, subway wheels are mainly repaired by grades. The process has gradually matured, but every time the rim thickness of 1mm is restored, it needs to be cut off in the direction of the wheel diameter. About 5mm, the amount of repairing in the diameter direction of the wheel tread is still relatively large

[0003] At present, there are many studies on the economic optimization of wheel treads, mainly using the theories of multi-body dynamics, contact mechanics and wheel-rail dynamics, combined with dynamic simulation and numerical analysis methods, to carry out the original standard wheel tread shape Optimizing the design, proposing different wheel tread profiles, while ensuring that the tread profile is in good operating condition, but most of these studies are optimized for a single wheel pair, and different wheel tread profiles in the entire train will be produced after a certain period of operation. The wear conditions are not the same, to optimize one by one obviously does not meet the engineering requirements

[0004] How to reduce the amount of wheel repairing on the premise of ensuring the safety of vehicle operation has always been the focus of current research, and most of the research on the economic optimization of wheel repairing focuses on the optimal design of a single wheel set, for the entire train or all wear in the same period There are few researches on the optimization of tread profile

Images