Iron spectral analysis technique is particularly suitable for rolling fatigue, a method of identification and prediction. Extract the rolling bearing lubricants as part of the oil sample, the use of high gradient magnetic field of solid foreign objects contained in the oil sample to flow through the magnetic field, according to the size ratio deposited on glass, able to observe the shape of the foreign particles, size, color and texture , in order to clearly define the wear type, notice the operation of the machine state, found hidden in a timely manner. The iron spectrum identification and steel magnets on the technical principles as the main target, but excellent identification of non-ferrous metals such as copper, sand, organic matter and sealing debris foreign objects.
When the oil sample, the diameter of the spherical particles of 1 ~ 5μm steel class, certainly bearing has started to fatigue microcrack. When a sample is a length to thickness ratio of 10:1 fatigue spalling particles, while the length is greater than 10μm, the normal fatigue wear of bearings Central Africa has begun, when the length is greater than 100μm, the bearing has failed.
The third fatigue debris fatigue flakes of 30:1, the length of the length and thickness between 20-50μm, thin slices often with empty. The fatigue began to appear, the number of such sheets will be significantly increased, which can be common with the spherical particles as a sign of fatigue appear.
The iron spectrometer is usually divided into the analysis Ferrograph, direct reading Ferrograph and online Ferrograph three categories.



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