Framework for Lubricant Chemistry-Sensitive Wear Modeling

Thomas, B. C.; Wong, Victor W.

doi:10.1115/ijtc2006-12365

Cited by 2 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An ongoing effort is now in place by the authors [1] to develop an accurate and numerically efficient engineering model for the formation and evolution of ZDDP antiwear films based on the relevant chemical pathways and physical mechanisms at work. This requires simultaneous considerations of dynamic pressures, temperatures, and chemistries ranging from conditions at the macroscopic scale to surface interactions at the asperity level.…”

Section: Wear and Antiwear Filmsmentioning

confidence: 99%

“…In wear testers or computer models [1], wear is shown to depend on lubricant and additive properties, the contact mechanics, and the tribochemistry at the surfaces. The composition of the degraded or contaminated oil in the ring pack and elsewhere in the engine depends strongly on the macroscopic transport of lubricant.…”

Section: Oil Transport and Changes In Oil Propertiesmentioning

confidence: 99%

“…The effects of ZDDP are fairly well understood, but there is a shortage of quantitative modelling of its action in an engineering wear model, making it difficult to predict the effects of wear at the design stage for an engine component or a lubricant formulation. An ongoing effort is now in place by the authors [1] to develop an accurate and numerically efficient engineering model for the formation and evolution of ZDDP antiwear films based on the relevant chemical pathways and physical mechanisms at work. This requires simultaneous considerations of dynamic pressures, temperatures, and chemistries ranging from conditions at the macroscopic scale to surface interactions at the asperity level.…”

Section: Wear and Antiwear Filmsmentioning

confidence: 99%

“…Identifying the effects of lubricant chemistry on engine component wear serves as one example of an integrated analysis [1]. Wear of the components depends on the tribochemistry of the antiwear film.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Bridging macroscopic lubricant transport and surface tribochemical investigations in reciprocating engines

Wong

Thomas

Watson

2007

Proceedings of the Institution of Mechanical Engineers, Part J:

Self Cite

View full text Add to dashboard Cite

Engine design studies are often conducted with one of two distinct focuses on two different scales: overall engine analysis or localized surface analysis. However, recent engine research requires a more combined approach. Classical tribological experiments and models have been developed usually for general contacting surfaces under specific operating conditions. They attempt to simulate the actual engine environment, which varies significantly with component design and engine operating conditions. Macroscopic engine studies, on the other hand, yield information pertaining to the overall engine system, such as component dynamics, lubricant flow, pressures, and temperatures. These macroscopic operating parameters serve as boundary conditions to the localized surface or tribochemical problem. This paper discusses the macroscopic oil transport processes in the engine and presents several current engine performance problems, such as in friction reduction, modelling wear with antiwear tribofilms, and minimizing deposit formation and emission of ash-related species. It also illustrates applications of the combined analysis of bulk oil transport in the engine with material surface phenomena and tribochemistry. A specific example involves the oil supply to the piston ring-pack and changes in oil and additive characteristics in that region.

show abstract

Section: Wear and Antiwear Filmsmentioning

confidence: 99%

Section: Oil Transport and Changes In Oil Propertiesmentioning

confidence: 99%

Section: Wear and Antiwear Filmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Bridging macroscopic lubricant transport and surface tribochemical investigations in reciprocating engines

Wong

Thomas

Watson

2007

Proceedings of the Institution of Mechanical Engineers, Part J:

Self Cite

View full text Add to dashboard Cite

show abstract

“…Examples of organic additives are: viscosity modifiers [2] to reduce the rate of viscosity change with temperature, friction modifiers [3] and dispersants [4] to keep insoluble contaminants dispersed in the oil. Metallo-organic compounds, such as zinc dialkyl dithiophosphate, are used in the antiwear, antioxidant, and corrosion inhibitor packages [5][6][7][8], while metallo-organic compounds of sodium, calcium, and magnesium (among others) contribute to detergent packages to keep surfaces free from deposits [2,4].…”

Section: Introductionmentioning

confidence: 99%

Predicting the thermal behaviour of engine oils using artificial neural networks

Abou-Ziyan

Mahmoud

Zaid

2009

Proceedings of the Institution of Mechanical Engineers, Part J:

View full text Add to dashboard Cite

A multi-layer neural network (NN) was developed to analyse experimental boiling data obtained for five engine oils at bulk temperatures ranging from 40 to 150 °C and heat fluxes ranging from 30 to 400 kW/m2. The inputs to the NN were the oil chemical composition (nine elements) along with the wall superheats for different oil bulk temperatures and the NN output was the corresponding heat fluxes. The developed NN model predicted boiling curves that are in close agreement with experimental data ( R2 ≈ 1). The NN was then trained on the experimental data of four of these oils and allowed to predict the boiling behaviour of the fifth. The NN, therefore, demonstrated its ability to predict the boiling characteristics of untested oils, provided their chemical compositions fall within the range of the training data. In addition, for oils with constituents outside the considered range, the NN was able to predict their boiling characteristics at all bulk temperatures when trained on a sample of experimental measurement. The success of such a technique provides researchers and developers of oils with the thermal performance of oils (based on chemical constituents) without testing or with very limited measurements. This, as a result, has the advantages of saving experimental time and cost of oil testing.

show abstract

Framework for Lubricant Chemistry-Sensitive Wear Modeling

Cited by 2 publications

References 0 publications

Bridging macroscopic lubricant transport and surface tribochemical investigations in reciprocating engines

Bridging macroscopic lubricant transport and surface tribochemical investigations in reciprocating engines

Predicting the thermal behaviour of engine oils using artificial neural networks

Contact Info

Product

Resources

About