Research Of On-line Detection Of Lubricants Metal Particles

Lubricant regarded as―Industry Blood‖is widely used in various power devices. Itcontains lots of pollutant, in which solid materials is most dangerous to power devices. Dueto the high rigidity of metal particles, it easily makes the kinetic parts inside power devicesdamaged, which is considered as the main reason for the malfunction of power devices. Onthe other side, metal particles in lubricant system has much information about monitoringworking condition of tribology pairs of power devices. To analyze quantity and dimensiondistribution of both magnetic and diamagnetic metal particles from lubricant, it caneffectively evaluate the working condition of power devices and predict their faulty. Theonline detection technology becomes the important research direction with the higher andhigher requirement for power devices to be monitored working condition simultaneously,improved working safety and prevented their failure. As for the online detection technology,how to judge working condition and prevent malfunction of power devices is a significantproblem for engineers to solve. However, the traditional online metal particles detectionsensors have some shortcoming such as limited measure range, low measure precision, highproducing cost and so on. Therefore, it is necessary to study the new online metal particlesdetection technology and develop a new kind of online detection sensor.Based on different effect of metals in the electromagnetic field, the thesis studies themetal particles detection applied on the principle of electromagnetic induction. The maincontent as follow:A new online metal particle detection sensor applied on the principle of electromagneticinduction has been developed and some experiments on this sensor also have been done. Itestablishes the mathematical model for this sensor by Ronald Formula and Biot Savart Lawand calculates the electromagnetic field distribution of this mode by using Ansoft Maxwell12Software. After finishing above all, the thesis gives the optimal construction of this sensor with thehelp of Matlab. According to the optimized result, some sensor samples and respectivelydetecting circuit are made for the laboratory experiments to validate the new model.At last, the experimental figure shows that the sensor can effectively detect ferrous andcopper particles under laboratory condition. The minimum diameters of ferrous and copperparticles detected are respectively20μm and100μm. By comparison theory and experimentalfigure, this detecting sensor has feasibility both in theory and practice.