Aircraft engine online oil wear particle imaging counting sensor and manufacturing method

Abstract

The invention discloses an online oil abrasive particle imaging and counting sensor for an airplane engine and a manufacturing method. The online oil abrasive particle imaging and counting sensor comprises a pipeline center. The pipeline center is embedded into a sensor pipe wall. The sensor pipe wall is circular and concentric with the pipeline center. A sensor inner core is embedded into the sensor pipe wall. A plurality of metal electrode plates are embedded into the sensor pipe wall. The sensor pipe wall is provided with an interface part and a metal lead. The metal electrode plates are used for imaging so as to detect abrasive particles. The manufacturing method includes: performing 3D printing on metal materials to allow the metal materials to be formed into the metal electrode plates; using polymer insulating materials to form the sensor pipe wall and the sensor inner core through integral injection molding so as to obtain a formed body; machining the interface part on the basis of the formed body; using static spraying to manufacture an outer shielding metal layer on the outer wall of the formed body. The online oil abrasive particle imaging and counting sensor and the manufacturing method have the advantages that the structure of the sensor is improved, the 3D printing is used, detection reliability is increased, and abrasive particle imaging detection and quantitative abrasive particle counting are achieved.

Description

technical field [0001] The invention relates to the field of on-line oil wear imaging counting sensors, in particular to an on-line oil wear imaging counting sensor specially used for aircraft engines and a manufacturing method. Background technique [0002] On-line oil monitoring is an important method for early fault detection of mechanical equipment. The real-time oil analysis sensor is an oil analysis instrument. It detects the operation of mechanical equipment in real time by detecting the size, quantity, material and shape of abrasive particles in the oil, and timely predicts potential failures to avoid catastrophic damage or use. Equipment in normal operation reduces unnecessary maintenance, thereby increasing production value and profitability. Sudden wear failures of aircraft engines mainly produce abrasive particles with a typical size of 200 microns or more and multiple abrasive particles at the same time. Reliable and quantitative online wear particle imaging an...

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Problems solved by technology

[0004] The disadvantages of the sensor are: 1. The particle size detection sensitivity is low <300 microns; 2. The shape of the abrasive particles cannot be detected; 3. When the oil flows, it is easy to cause the oil in the pipeline to be not full, and the sensor detects background signal changes, affecting Detection accuracy

[0006] The disadvantages of this sensor are: 1. The oil pipeline is thin, and full flow detection cannot be realized, and a small amount of large particles that suddenly appear cannot be guaranteed to be detected; and a small amount of large particle metal wear debris of 50 to 200 microns is caused by the fatigue of the surface layer of the friction pair. Flaking, severe sliding wear and shear wear, etc., can most directly reflect the abnormal fault information; 2. The shape of the abrasive particles cannot be detected; 3. When the oil flow rate changes, the oil is prone to turbulence, which makes the abrasive particles The position in the pipeline changes rapidly, which affects the detection

[0008] The disadvantages of this sensor are: 1. The size and number of large particles larger than 200 microns cannot be detected, and there is a risk of missed detection of large abrasive particles; 2. Pressure loss is caused during the detection process, and the lubrication and heat dissipation effect is affected when the equipment is running at high speed; 3. 、When multiple abrasive particles flow through a manifold at the same time, the number of abrasive particles cannot be distinguished, and the quantitative abrasive particle counting function cannot be realized, which may easily cause false detection

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