AUTOMATION OF THE SELECTION (SEPARATION) PROCESS OF NON FERROMAGNETIC METAL PARTICLES
The article considers an electromagnetic method for detecting metal particles in oil. This method is based on the interaction of magnetic fields of two excitation coils and the occurrence of eddy currents in a non-ferromagnetic metal wear particle passing through the working area of the sensor. When carrying out this action, the principle of superposition of magnetic fields and the law of electromagnetic induction are used. To get an idea of the processes, and predict the results obtained during the experiment, it is necessary to simulate the picture of electromagnetic fields in different modes of operation of the system. In the course of the work, the composition and purpose of the registers of the STM32F100RB6B microcontroller were analyzed, algorithms and software were developed for analog-to-digital conversion of signals from an electromagnetic sensor to transmission of measurement information. An experimental study of the system for the detection of non-ferromagnetic metal particles was carried out and a graph of the output signal of the electromagnetic sensor of the system was obtained when a particle passed through the working area of the sensor