Assessment of Antiwear Properties of Lube Oils Using Online Visual Ferrograph Method

Feng, Song; Che, Yitong; Mao, Junhong; Xie, Youbai

doi:10.1080/10402004.2014.880537

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…the amount of gathered oil in the oil tank was kept in dynamic equilibrium. As shown in figure 5, for the full sampling cycle of the OLVF wear monitoring system, four stages, including flushing the oil tunnel for pre-deposition, depositing the wear debris, flushing the oil tunnel for postdeposition and idle waiting, were needed [23], and thus the dynamic relationship between the oil feeding of pump-1 and the oil discharge consumption of pump-2 can be given by…”

Section: Experimental Setup and Conditionsmentioning

confidence: 99%

A direct reflection OLVF debris detector based on dark-field imaging

Feng

et al. 2018

Meas. Sci. Technol.

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To solve the problems of monitoring wear debris in black oil, a direct reflection online visual ferrograph (OLVF) debris detector is presented. In current OLVF detectors, a reflected light source is used. The emitted light is reflected by wear debris directly instead of passing through the lube oil. Therefore, the transparency of the lube oil ceases to matter. Two experiments were conducted to validate the wear debris imaging feasibility and effectiveness of the newly developed detector. The results show that the visual feature information of the wear debris can be reliably obtained from black oil by this detector, and it can also be used to track the fast-changing wear of tribopairs at different wear stages. To the best of our knowledge, to date there is no other report for solving this issue.

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Section: Experimental Setup and Conditionsmentioning

confidence: 99%

A direct reflection OLVF debris detector based on dark-field imaging

Feng

et al. 2018

Meas. Sci. Technol.

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“…Ball/pin-on-disc experiments are widely used for studying wear behavior and tribology properties of lubricants, materials and service conditions of mechanical components (Yilbas et al, 1996;Feng et al, 2014). The wear volume/loss, as expressed in equation (3.2), of disc specimens is an important indicator of wear resistance of a tribological pair:…”

Section: Calculation Of Wear Volumementioning

confidence: 99%

Assessment of surface wear properties with initial macro crack defects using on-line visual ferrography and SEM methods

Yuan

Chin

Dong

et al. 2015

Industrial Lubrication and Tribology

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Purpose – This paper aims to optimize the operating condition of mechanical parts, whose working surfaces have macro-crack defects, and surface wear properties with macro-cracks are assessed through experimental investigation. Design/methodology/approach – Macro-cracks perpendicular to the direction of sliding were manufactured on discs by electric discharge machining. Tribological tests under oil lubrication were conducted on a ball-on-disc test rig. Their wear processes were monitored with on-line visual ferrography. The cross-sectional profile and morphology of the wear track were analyzed using a T200 profilometer and a scanning electron microscope, respectively. Effects of different crack numbers and various applied normal loads on the wear behavior were studied. Findings – The macro-cracks tend to promote plastic deformation on the contact disc surfaces, and material plastic deformation of the crack edges varies with the magnitude of applied normal loads. Relationship of the duration of running-in period and root mean square index of the particle coverage area with the numbers of crack is approximately linear. Originality/value – The wear properties of surfaces with macro-cracks were assessed with various crack numbers and with different applied normal loads, and the relationship between the index of particle coverage area and the wear rate was established.

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“…Here in this paper, the OLVF information (IPCA signal) will be used to describe the lubrication oil anti-wear property depletion path. In an earlier study [22], it has been proved that the IPCA signal is able to assess the AWP of the lubrication oil. The idea was based on the assumption that the wear particles concentration in the oil was proportional to the wear rate, which is approximately equal to the IPCA.…”

Section: Introductionmentioning

confidence: 99%

Lubrication Oil Anti-Wear Property Degradation Modeling and Remaining Useful Life Estimation of the System Under Multiple Changes Operating Environment

2019

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Anti-wear property (AWP) is one of the critical characteristics that define the lubrication performance of the lubrication oil. The AWP deterioration is characterized by the wear rate variation and is often related to the operating environment. Since a low AWP can lead to system failure, proactive means to predict the remaining useful life (RUL) considering the environmental factors is an important practical relevance. This paper presents a stochastic model to determine the oil AWP deterioration in order to predict the RUL of the related system. The model assumes that the operating environment behaves as a continuous-time Markov chain (CTMC). A Bayesian methodology using three sources of information (online degradation information, observed degradation, and environmental data) is applied to update dynamically the RUL. In order to demonstrate the applicability of the proposed model, a case of study is presented. Furthermore, to show the accuracy and effectiveness of the proposed approach, a comparative study is conducted with a previously developed model, which does not consider the operating environment. INDEX TERMS Anti-wear property, Bayesian updating, lubrication oil, varying operating environment.

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Assessment of Antiwear Properties of Lube Oils Using Online Visual Ferrograph Method

Cited by 15 publications

References 11 publications

A direct reflection OLVF debris detector based on dark-field imaging

A direct reflection OLVF debris detector based on dark-field imaging

Assessment of surface wear properties with initial macro crack defects using on-line visual ferrography and SEM methods

Lubrication Oil Anti-Wear Property Degradation Modeling and Remaining Useful Life Estimation of the System Under Multiple Changes Operating Environment

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