Simulation Study on the Influence of Multi-Magnetic Particles on Oil Sensor Signals

Engine operation produces particles that contaminate the lubricating oil and can damage the engine's internal components. This paper presents a model for a three-coil inductive metal particle sensor and verifies the rationality and accuracy of the model by simulating the motion of a single spherical iron particle passing through the sensor. On this basis, the simulation of coupling double particles with different sizes, distances, and shapes is carried out. The study explores the influence of particle motion on the sensor-induced signal under various conditions. The research shows that when two particles pass through the sensor, the induced voltage signal will produce superposition when the distance between the two particles is small. The peak value of the induced voltage is 1-2 times the peak value of the induced voltage of a single particle. As the distance increases, the peak value of the induced voltage initially decreases, then slowly increases, and finally stabilizes. When the double particle signal is superimposed, the enhancement effect of the peak value of the induced voltage gradually increases as the particle diameter decreases. For particles with the same volume but different shapes, the peak value of the induced voltage increases with the increase of the cross-sectional area of the particles.