The Design of an On-line Monitoring Sensor of Wear Mental Particals and the Analysis of Its Characteristic

Wearing and tearing is occupied more than 70% among lessening forms of machine. The information of the running state of machine is included in wear mental particles, and big particles are the important factor in accelerating the wearing and tearing of heavy machine. At presenst, the study in the on line monitoring of big particles is still shortcoming. This article, according to the monitoring mechanism of magnetic induction, is designed and analyzed a solenoid monitoring sensor of the large wear mental particles. And the monitoring mechanism of the sensor is modeled on using the magnetic fields and electronic fields coupled analysis of ANSYS, analyzing and validating the feasibility of design theory, and confirming the key factors of affecting the performance of the designing sensor, and conforming several group of the geometric dimension and performance parameters. The better base of development of the sensor is established.