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Oil particle multiple information detection method and application thereof

A technology of information detection and particles, applied in individual particle analysis, particle and sedimentation analysis, measuring devices, etc., can solve the problems of incomplete detection information, inability to detect particle components, inability to distinguish particle metal or non-metallic substances, etc.

Inactive Publication Date: 2021-10-08
CHENGDU AIRCRAFT INDUSTRY GROUP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Under this detection method, it is impossible to detect the composition of the particles, and it is also impossible to distinguish whether the particles are metal or non-metallic substances, resulting in incomplete detection information.

Method used

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  • Oil particle multiple information detection method and application thereof
  • Oil particle multiple information detection method and application thereof
  • Oil particle multiple information detection method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] This embodiment discloses a method for detecting multiple information of oil particles, such as figure 1 The shown includes sampling steps, sample preparation steps, detection steps, and data processing steps; it is characterized in that, the detection step adopts a scanning electron microscope and an energy spectrometer integrated with an intelligent particle research module to detect the oil, and obtains particle types, Particle number, particle size range, particle serial number, the proportion of main elements contained in a single particle, and any one or more particle information data in the Feret maximum diameter of a single particle; the data processing steps include integrating the detected particles information data;

[0028] The particle category includes iron-rich particles, copper-rich particles, zinc-rich particles, colloidal particles, and sand;

[0029] The number of particles includes the number of particles under each particle category and the total n...

Embodiment 2

[0044] This embodiment is based on the multiple information detection method of oil particles disclosed in Embodiment 1, and specifically illustrates the application of the detection method in hydraulic pump failure prediction.

[0045]In modern industry, especially in the aviation industry, the hydraulic pump is one of the indispensable components, and the wear of the hydraulic pump is the most important factor affecting its service life. The wear of the hydraulic pump is usually caused by the friction and wear of the friction pair of the pump or the fatigue and shedding of the internal metal material. If the wear of the hydraulic pump is light, the pressure of the pump will be reduced, the temperature will be increased, and the flow rate will be reduced, and if it is severe, the entire hydraulic pump will fail. Therefore, by detecting the wear of the hydraulic pump, the early failure of the hydraulic pump can be identified, so as to perform condition-based maintenance and im...

Embodiment 3

[0068] This embodiment is based on the multiple information detection method of oil particles disclosed in Embodiment 1, and specifically illustrates the application of the detection method in the detection of the filter screen in the oil filter.

[0069] In the hydraulic system of modern industry, due to the composition of the system or the intrusion outside the system, it is inevitable that pollutants will appear in the hydraulic system. These pollutants may be particles, colloids or other substances. Pollutants will not only cause a certain degree of wear and tear on related equipment, but also block small holes and block valve cores. The use of oil filter is the most effective method to control the cleanliness of hydraulic oil. Under this method, the pollutants in the hydraulic system will accumulate on the oil filter with the oil and form a filter. Through the detection of the filter in the oil filter , not only can understand the types and sources of pollutants in the hy...

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Abstract

The invention relates to the technical field of oil detection, and discloses an oil particle multiple information detection method and application thereof. The oil particle multiple information detection method comprises a sampling step, a sample preparation step, a detection step and a data processing step. The method is characterized in that in the detection step, a scanning electron microscope integrated with an intelligent particle research module and an energy dispersive spectrometer are adopted for detecting oil liquid, and any one or more particle information data of the particle category, the particle number, the particle size range, the particle serial number, the proportion of main elements contained in a single particle and the Feret maximum diameter of the single particle are obtained; and the data processing step comprises integration of detected particle information data, so that the detection is more accurate, the analysis is more comprehensive, and the influence of human factors is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of oil detection, in particular to a method for detecting multiple information of oil particles and its application. Background technique [0002] In modern industry, especially in the aviation industry, the content, type and composition of oil particle pollutants in aircraft hydraulic system, lubricating oil system and fuel system have always been very important detection indicators. On the one hand, the above-mentioned systems have strict standards for their own cleanliness. When the oil contains a large number of harmful particles, it will cause a certain degree of wear and tear on the relevant equipment during operation, thereby reducing the service life of the equipment. On the other hand, when the system fails, such as sticking, damage, etc., the type and composition of solid particles in the oil can provide a solid data basis for troubleshooting. [0003] At present, the detection methods for particl...

Claims

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Application Information

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IPC IPC(8): G01N15/02G01N15/14G01N23/20G01N23/20008G01N23/2251G01N23/2202
CPCG01N15/0205G01N15/1434G01N23/20G01N23/20008G01N23/2251G01N23/2202
Inventor 金根许崇高侯民利刘蕾陈志川杨小蓉吴迪
Owner CHENGDU AIRCRAFT INDUSTRY GROUP
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