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Several sources of variation in quantitative analytical ferrography are investigated. A standard ferrography analysis procedure is developed. Normalization of ferrographic data to account for the amount of oil used to make the ferrograms is discussed. Procedures to minimize the errors involved with calculating three quantitative ferrography parameters: the area covered by the large particles, AL (%/ml of oil), the area covered by the small particles, AS (%/ml of oil) and Area Under the Curve, AUC, (%-mm/ml of oil) are outlined. Ferrographic data are presented which show that the volume and dilution ratio of the oil sample being analyzed have a major effect on the accuracy of the analysis. Several variables which influence the area covered readings of the particle deposit on a ferrogram are discussed. The accuracy of quantitative analytical ferrography is assessed.

A computer simulation program was developed to simulate the thermal responses of an on-highway, heavy duty diesel powered truck in transient operation for evaluation of cooling system performance. Mathematical models of the engine, heat exchangers, lubricating oil system, thermal control sensors (thermostat and shutterstat), auxiliary components, and the cab were formulated and calibrated to laboratory experimental data. The component models were assembled into the vehicle engine cooling system model and used to predict air-to-boil temperatures. The model has the capability to predict real time coolant, oil and cab temperatures using vehicle simulation input data over various routes.