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A number of laboratory-scale test methods are available to predict the effects of fuel lubricity on injection system wear. Anecdotal evidence exists to indicate that these methods produce poor correlation with pump wear, particularly for fuels that contain lubricity additives. The issue is further complicated by variations in the lubricity requirements of full-scale equipment and the test methodologies used to evaluate the pumps. However, the cost of performing full-scale equipment testing severely limits the quantity of data available for validation of the laboratory procedures at any single location. In the present study, the technical literature was reviewed and all previously published data was combined to form a single database of 175 pump stand results. This volume of data allows far more accurate statistical analysis than is possible with tests performed at a single location. The results indicate differences in the effectiveness of the standardized laboratory-scale methods.

Engine tests are widely used to measure the ability of lubricating oils to reduce fuel consumption through improved mechanical efficiency. Previous publications have correlated laboratory-scale tests with the well-established Sequence VI and VIA engine methods. The present paper uses a matrix of 66 oils to produce an empirical model for the recently developed Sequence VIB engine test. A smaller matrix of oils was available for correlation with Sequence VI and VIA results. The models combine a purposely-designed friction test with conventional measures of kinematic and high-temperature high-shear viscosity. Good correlation was obtained with the Sequence VI, VIA and VIB results, as well as each of the five stages in the Sequence VIB test. The effects of lubricant oxidation in the 96-hour FEI-2 portion of the Sequence VIB test were similar for each of the oils. As a result, good correlation was observed between FEI-1 and FEI-2 results from the VIB test.