FIELD: measuring.
SUBSTANCE: invention relates to non-destructive testing of machine parts during their production or repair. In the method, the thickness of the oxide coating is determined based on the difference between the values of the contact potential difference of the juvenile surface of the metal material of the inspected part measured relative to the reference metal and with an oxide coating applied on its surface to the surface of the inspected part which is pre-cleaned from oxides, contaminants and dried. Applying a sensor of a device for measuring contact potential difference, wherein a nickel measuring electrode of the sensor is supplied with vibrations from an electroacoustic transducer, with which the measuring electrode is rigidly connected by means of an adjusting screw, which provides a change in the gap between the measuring electrode and the surface of the controlled part. And vibration frequency is controlled with adjustment of variable resistor, wherein between the measuring electrode and the surface of the controlled part, an electric current occurs, then the generated electric signal is amplified and sent to the control and display unit, where electrical signal is processed and displayed in form of contact potential difference values, and then the thickness of the oxide coating is calculated by a machine learning, which solves the regression problem with an artificial neural network (ANN).
EFFECT: high information value of the method and possibility of determining thickness of the oxide coating at a specific point of the part.
1 cl, 4 dwg
