Fundamental Study of Changes in Friction and Wear Characteristics due to ZnDTP Deterioration in Simulating Engine Oil Degradation during Use (Part 2) -- Influences of the Presence of Peroxide and Dispersed Zn-containing Solids--

Masuko, Masabumi; Ohkido, Takeshi; Suzuki, Akihito; Ueno, Takafumi; Okuda, Sachiko; Sagawa, Takumaru

doi:10.1016/s0167-8922(05)80078-1

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…In previous research [22], the authors have demonstrated the difference in adsorption rate between phosphorus and sulfur in ZnDTP molecules. At the beginning of the friction test conducted using ZnDTP, phosphorus and oxygen concentrations on the surfaces were low and increased with sliding distance.…”

Section: Figure 12 Comparison Of Atomic Concentration Of the Tribofilmentioning

confidence: 96%

Effect of Coexistent Additives on the Friction Characteristics and Tribofilm formation of Zinc Dialkyldithiophosphate

Aoki¹,

Masuko²,

Suzuki³

2007

SAE Technical Paper Series

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The major aim of this study is to investigate the tribofilm formation and friction-speed characteristics of ZnDTP in the presence of other lubricant additives. Simultaneous measurement of friction and electrical conductivity were employed using ZnDTP and several kinds of functionally different additives. Several analyses of friction surfaces were also carried out in order to measure the reaction film thickness and investigate the chemical composition of this film. It was demonstrated that the presence of each additive with ZnDTP prevented the formation of a ZnDTP tribofilm and thereby could provide lower friction than ZnDTP alone.

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Section: Figure 12 Comparison Of Atomic Concentration Of the Tribofilmentioning

confidence: 96%

Effect of Coexistent Additives on the Friction Characteristics and Tribofilm formation of Zinc Dialkyldithiophosphate

Aoki¹,

Masuko²,

Suzuki³

2007

SAE Technical Paper Series

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“…The authors have presented the effect of ZnDTP degradation on the antiwear performance of engine oil elsewhere [3,4]. The objective of the present study is to investigate the effects of both chemical contamination (ZnDTP degradation) and physical contamination (carbon soot contamination) on antiwear performance, along with the synergetic effect of both chemical and physical contaminations, in order to obtain fundamental knowledge for future low-phosphorous engine oils.…”

Section: Introductionmentioning

confidence: 99%

Influence of Chemical and Physical Contaminants on the Antiwear Performance of Model Automotive Engine Oil

Masuko

Suzuki

Ueno

2006

Proceedings of the Institution of Mechanical Engineers, Part J:

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The antiwear performance of simulated used-engine-oil that contained a chemical contaminant (degraded zinc dialkyldithiophosphate (ZnDTP)) was studied with and without physical contamination (carbon black) using a four-ball tribometer. By reacting with cumene hydroperoxide, sec-C6-ZnDTP was degraded and produced many compounds containing both phosphorous and sulphur. The simulated used-oils were found to promote wear. This wear was considered to be due to corrosive wear by the excess reaction of surfaces with the sulphur contained in the degraded compounds. Carbon black was used to model carbon soot, which is another key substance of degraded engine oils, especially in diesel engines, to study the synergism between chemical contamination (ZnDTP degradation) and physical contamination (carbon soot contamination). Carbon black increased wear irrespective of the level of ZnDTP degradation, and the acceleration was much greater in the degraded oils. The wear acceleration by carbon black was observed even when the antiwear film from ZnDTP was already present on the surface. It was suggested that the wear acceleration by carbon black was due to abrasion.

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Prediction of the Total Base Number (TBN) of Engine Oil by Means of FTIR Spectroscopy

et al. 2022

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The objective of this study is to develop a statistical model to accurately estimate the total base number (TBN) value of diesel engine oils on the basis of the Fourier transform infrared spectroscopy (FTIR) analysis. The research sample consisted of oils used in the course of 14,820 km. The samples were collected after each 1000 km and both FTIR and TBN measurements were performed. By applying the measured absorbance values, five statistical models aimed at predicting TBN values were elaborated with the use of the following information: aggregated values of measured absorbance in defined spectral ranges, extremes at wavenumbers, or the surface area of spectral bands related to the vibrations of specific molecular structures. The obtained models may be considered a continuation and an extension of previous studies of this type described in the literature on the subject. The results of the study and the analysis of the obtained data have led to the development of two models with high predictive capabilities (R2 > 0.98, RMSE < 0.5). Another model, which had the smallest number of variables in comparison to other models, had markedly lower R2 value (0.9496) and the highest RMSE (0.5596). Yet another model, where the dimensionality of the pre-processed full spectra was reduced to four aggregates through averaging, turned out to be slightly worse than the best one (R2 = 0.9728). The study contributes to a more in-depth understanding of the FTIR-based TBN prediction tools that may be readily available to all interested parties.

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Fundamental Study of Changes in Friction and Wear Characteristics due to ZnDTP Deterioration in Simulating Engine Oil Degradation during Use (Part 2) -- Influences of the Presence of Peroxide and Dispersed Zn-containing Solids--

Cited by 3 publications

References 6 publications

Effect of Coexistent Additives on the Friction Characteristics and Tribofilm formation of Zinc Dialkyldithiophosphate

Effect of Coexistent Additives on the Friction Characteristics and Tribofilm formation of Zinc Dialkyldithiophosphate

Influence of Chemical and Physical Contaminants on the Antiwear Performance of Model Automotive Engine Oil

Prediction of the Total Base Number (TBN) of Engine Oil by Means of FTIR Spectroscopy

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