Research On Electro-magnetic Effect Of 25CrMo4 Based On Metal Magnetic Memory Detection

With the rapid development of society,railway transportation has been paid more and more attention by the country.The locomotive keeps developing towards high speed and heavy loading.During the normal operation of the train,its performance will often deteriorate due to the impact of the wheel-rail system or the damage caused by the contact fatigue of the wheel set.Therefore,a convenient non-destructive testing technology is needed to monitor the status of the wheel set in real time and real-time fault monitoring.Metal magnetic memory testing technology is a new type of nondestructive testing technology.It has a lightweight structure.Its advantages areno need to preprocess the tested device.And the defects and stress concentration areas of the tested device can be observed through magnetic signal data.However,this technology will be affected by the magnetic field generated by the internal circuit of the train bogie.For this problem,electromagnetic simulation and test with 25 CrMo4,the wheel set material of CRH3 high-speed train,are conducted to provide theoretical reference for eliminating the influence of external magnetic field on it.The main contents of this paper are as follows:(1)The model of CRH3 EMU control system is built by SIMULINK software.Then,the calculated stator current value is imported into the simplified bogie of MAXWELL software for calculation,for analyzing the distribution law of magnetic signal on the wheel set surface;(2)Use MAXWELL software.Using 25 CrMo4 as the material for modeling,the simulation results are calculated after loading the input conditions,and the distribution of magnetic signal under different magnetic field factors is obtained;(3)According to the simulation strategy,the 25 CrMo4 material specimen is subjected to electromagnetic test under the same working conditions.The magnetic signal is collected by the metal magnetic memory detector.Then,the magnetic signal distribution characteristics under different working conditions are analyzed and compared with the simulation results.It is found that there is a corresponding relationship;(4)Elastic net regression is used for the test data to obtain the corresponding relationship between each working condition and magnetic signal.And it’s expressed in the form of function.Therefore,the quantitative relationship of CRH3 high-speed rail wheel set material25 CrMo4 under different working conditions is obtained.The conclusion of the study provides a reliable theoretical basis and technical support for the early fault diagnosis of high-speed railway wheel sets using metal magnetic memory detection technology.They provide new ideas and methods for high-speed train operation safety monitoring.