Oil Analysis and Condition Monitoring

Toms, Allison M.; Toms, Larry A.

doi:10.1023/b105569_16

Cited by 27 publications

(21 citation statements)

References 5 publications

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“…It can count and distinguish ferromagnetic and non-ferromagnetic metal particles by monitoring the change in the inductance value. This method is less affected by environmental factors, but the detection accuracy is lower [22][23][24][25]. Based on the inductive method, our team developed an inductive detection method based on microfluidic chips [26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

et al. 2020

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The wear debris in hydraulic oil or lubricating oil has a wealth of equipment operating information, which is an important basis for large mechanical equipment detection and fault diagnosis. Based on traditional inductive oil detection technology, magnetic nanoparticles are exploited in this paper. A new inductive oil detection sensor is designed based on the characteristics of magnetic nanoparticles. The sensor improves detection sensitivity based on distinguishing between ferromagnetic and non-ferromagnetic wear debris. Magnetic nanoparticles increase the internal magnetic field strength of the solenoid coil and the stability of the internal magnetic field of the solenoid coil. During the experiment, the optimal position of the sensor microchannel was first determined, then the effect of the magnetic nanoparticles on the sensor’s detection was confirmed, and finally the concentration ratio of the mixture was determined. The experimental results show that the inductive oil detection sensor made of magnetic nanoparticle material had a higher detection effect, and the signal-to-noise ratio (SNR) of 20–70 μm ferromagnetic particles was increased by 20%–25%. The detection signal-to-noise ratio (SNR) of 80–130 μm non-ferromagnetic particles was increased by 16%–20%. The application of magnetic nanoparticles is a new method in the field of oil detection, which is of great significance for fault diagnosis and the life prediction of hydraulic systems.

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Section: Introductionmentioning

confidence: 99%

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

et al. 2020

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“…An engine oil encounters elevated temperatures, high mechanical load, multiple chemically active solids and gases and foreign contaminants during its service life which can contribute to its degradation [3]. Therefore, the lubricant needs to be changed several times during the lifetime of the engine [4].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Used Engine Oil Lubricating Performance Through Oil Analysis and Friction and Wear Measurements

2019

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Engine oil degradation during long-term engine operation is a wellresearched topic, however, the effect of biofuels and synthetic compounds is not fully understood. In order to characterise novel fuel related phenomena in an engine a basis of studies should be established with state-of-the-art engines and conventional fuels and lubricants. This study aims at describing the behaviour of used engine oils throughout their service life based on friction and wear measurements with oil samples from three identical light-duty direct injection supercharged diesel engines. Oil samples were taken from each engine every 50 hours between oil changes to determine physical properties and chemical composition. Friction and wear measurements were conducted on a high-frequency reciprocating rig. The results show strong correlation between oil service life and boron content, as well as acid number and base number. A similar correlation between coefficient of friction with used samples and boron content as well as soot content was observed. A simple model based on a polynomial fitting function was proposed to predict friction and wear from boron content, total acid number and total base number.

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“…However, the size of particles will increase to 50–100 μm and the concentration will increase sharply as well when abnormal wear happens [ 2 , 3 ]. Water moisture in oil will greatly accelerate the oxidation and corrosion process of mechanical equipment and result in aggregation of particle contamination [ 4 ]. The air bubbles in oil can cause cavitation erosion phenomenon which will reduce the service life of the hydraulic element due to the resulting temperature rise and oil deterioration in the system [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel On-Chip Impedance Sensor for the Detection of Particle Contamination in Hydraulic Oil

et al. 2017

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A novel impedance sensor based on a microfluidic chip is presented. The sensor consists of two single-layer coils and a straight micro-channel, and can detect, not only ferromagnetic and non-ferromagnetic particles in oil as an inductive sensor, but also, water droplets and air bubbles in oil as a capacitive sensor. The experiments are carried out at different excitation frequencies, number of coil turns and particle sizes. For the inductance detection, the inductance signals are found to increase with the excitation frequency and the noise is constant; both the inductance signals and the noise increase with the number of coil turns, but because the noise increases at a faster rate than the signal, the signal-to-noise ratio decreases with the number of coil turns. We demonstrate the successful detection of 40 μm iron particles and 110 μm copper particles using the coil with 20 turns at the excitation frequency of 2 MHz. For the capacitance detection, capacitance signals decrease with the excitation frequency and the noise is constant; the capacitance signals decrease with the number of coil turns, while the noise increases, thus, the signal-to-noise ratio decreases with the number of coil turns. We can detect 100 μm water droplets and 180 μm bubbles successfully using the coil with 20 turns at the excitation frequency of 0.3 MHz.

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Oil Analysis and Condition Monitoring

Cited by 27 publications

References 5 publications

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

Inductive Magnetic Nanoparticle Sensor Based on Microfluidic Chip Oil Detection Technology

Investigation of Used Engine Oil Lubricating Performance Through Oil Analysis and Friction and Wear Measurements

A Novel On-Chip Impedance Sensor for the Detection of Particle Contamination in Hydraulic Oil

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