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Full-Text Articles in Mechanical Engineering
Parallel Sensing Of Metallic Wear Debris In Lubricants Using Undersampling Data Processing, Li Du, Jiang Zhe
Parallel Sensing Of Metallic Wear Debris In Lubricants Using Undersampling Data Processing, Li Du, Jiang Zhe
Dr. Jiang Zhe
Online lubricant monitoring requires a debris sensor that can rapidly detect wear debris in a large volume of lubricants. To meet this need, we present a fluidic oil debris sensor using parallel multiple sensing channels for detecting metallic wear debris. Each sensing element is comprised of a two-layer planar coil and a meso-scale fluidic pipe crossing its center. The detection of metallic debris is based on inductive Coulter counting principle. The use of multiple parallel channels allows the sensor to process a large amount of lubricants without sacrificing the detection sensitivity. An undersampling process was performed on the voltage signal …
A High Throughput Inductive Pulse Sensor For Online Oil Debris Monitoring, Li Du, Jiang Zhe
A High Throughput Inductive Pulse Sensor For Online Oil Debris Monitoring, Li Du, Jiang Zhe
Dr. Jiang Zhe
A high throughput inductive pulse sensor based on inductive Coulter counting principle for detecting metallic wear debris in lubrication oil is presented. The device detects the passage of metallic debris by monitoring the inductance change of a two-layer planar coil with a meso-scale fluidic pipe crossing its center, which is designed to attain high throughput without sacrificing the sensitivity. The testing results using iron and copper particles ranging in size from 50 to 150 μm have demonstrated that the device is capable of detecting and distinguishing ferrous and non-ferrous metallic debris in lubrication oil with a high throughput.