scholarly journals Design of electromagnetic sensor for metal wear particle detection in oil

2019 ◽  
Vol 2019 (23) ◽  
pp. 8667-8670
Author(s):  
Yunbo Zuo ◽  
Yuhai Gu ◽  
Yanhai Zhang
Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 586 ◽  
Author(s):  
Jon Mabe ◽  
Joseba Zubia ◽  
Eneko Gorritxategi

2020 ◽  
Vol 151 ◽  
pp. 106379
Author(s):  
Yeping Peng ◽  
Junhao Cai ◽  
Tonghai Wu ◽  
Guangzhong Cao ◽  
Ngaiming Kwok ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3162 ◽  
Author(s):  
Ran Jia ◽  
Biao Ma ◽  
Changsong Zheng ◽  
Xin Ba ◽  
Liyong Wang ◽  
...  

The electromagnetic wear particle detector has been widely studied due to its prospective applications in various fields. In order to meet the requirements of the high-precision wear particle detector, a comprehensive method of improving the sensitivity and detectability of the sensor is proposed. Based on the nature of the sensor, parallel resonant exciting coils are used to increase the impedance change of the exciting circuit caused by particles, and the serial resonant topology structure and an amorphous core are applied to the inductive coil, which improves the magnetic flux change of the inductive coil and enlarges the induced electromotive force of the sensor. Moreover, the influences of the resonance frequency on the sensitivity and effective particle detection range of the sensor are studied, which forms the basis for optimizing the frequency of the magnetic field within the sensor. For further improving the detectability of micro-particles and the real-time monitoring ability of the sensor, a simple and quick extraction method for the particle signal, based on a modified lock-in amplifier and empirical mode decomposition and reverse reconstruction (EMD-RRC), is proposed, which can effectively extract the particle signal from the raw signal with low signal-to-noise ratio (SNR). The simulation and experimental results show that the proposed methods improve the sensitivity of the sensor by more than six times.


Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3751 ◽  
Author(s):  
Gobert von Skrbensky ◽  
Karoline Mühlbacher ◽  
Emir Benca ◽  
Alexander Kolb ◽  
Reinhard Windhager ◽  
...  

Wear is a common cause for aseptic loosening in artificial joints. The purpose of this study was to develop an automated diagnostical method for identification of the number and size distribution of wear debris. For this purpose, metal debris samples were extracted from a hip simulator and then analyzed by the electrospray method combined with a differential mobility analyzer, allowing particle detection ranging from several nanometers up to 1 µm. Wear particles were identified with a characteristic peak at 15 nm. The electrospray setup was successfully used and validated for the first time to characterize wear debris from simulated total joint replacement. The advantages of this diagnostic method are its time- and financial efficiency and its suitability for testing of different materials.


Author(s):  
Hongpeng Zhang ◽  
Wen Huang ◽  
Junwei Jin ◽  
Li Guo ◽  
Dongqing Li

Metal wear debris is an important component of oil particle contamination and is also an essential information carrier in hydraulic oil. Based on inductive Coulter counting principle, a microfluidic device to detect wear debris in oil is presented. The proposed device has the advantage that in theory the distance between wear particle in oil and an embedded coil is 0, which can greatly improve the sensitivity of detection. The relationship between coil parameters and inductive change of a coil is analyzed through the related experimental statistics. The result indicates it can distinguish effectively ferrous and nonferrous metal particles in oil, and the size of 19 μm iron particles and 40 μm copper particles can be detected.


Author(s):  
Bradley D. McClelland ◽  
Ronald A. L. Rorrer

With advances in vehicle electronics and instrumentation, there has become an increasing demand for sensors to monitor the various systems of vehicles. One fruitful area for exploration is oil condition monitoring. There are a variety of devices that have been researched and some commercial sensors based upon indirect measures of oil condition based upon temperature history and mileage. In this work, a meso-scale oscillatory device has been built to monitor the condition of oil while in use. Specifically, the device measures the viscosity, dielectric constant, and temperature of the oil. These measurements were chosen based on their importance to the function of oil. This is especially true of viscosity, which is known to be a major indicator of the overall condition of the lubricant. Tests showing the operation of the device, including measurements of oil samples from actual engines, are shown. Other tests include the detection of fuel contamination and metal wear particle presence. The device presented here could be easily incorporated into the onboard electronics of a modern vehicle in order to monitor the condition of the oil and determine when oil replacement is necessary.


Sign in / Sign up

Export Citation Format

Share Document