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The performance requirements specified for an airborne weapons system are indicative of the class of desired characteristics for the proper functioning of any complex system. To achieve an integrated system with these performance capabilities requires the maximum application of system engineering. Simulation as such represents one of the basic tools available for analyzing and assessing the accuracy, stability and reliability characteristics for any complex nonlinear system. The application of simulation to the design, development, and evaluation of an airborne weapons system specifically illustrates its potentialities and effectiveness. The text to follow demonstrates, by representative examples, how simulation contributes to the analysis of complex problems inevitably present in weapons system development and also discusses the nature of the results that may be obtained.

Past experience showed that laboratory cycles available seven years ago for predicting stable pour points of engine lubricating oils did not correctly predict maximum field pour points. Additional information on factors influencing fluidity of lubricants during field exposure was necessary for lubricant development. This information was gained by the exposure of engine lubricating oils to winter temperatures at Prince George, B.C., and Fairbanks, Alaska. Variables in base oils, lubricating oil additives, and pour depressants which influence stable pour point are discussed. All components influence stable pour point. Correlation of field stable pour points with several laboratory cycles is reviewed. With the better cycles stable pour point can be predicted within ± 10°F of the maximum field stable pour point 50% to 70% of the time. Experience gained is applied to the development of lubricants of low field stable pour point.

This paper presents the results of recent field tests on passenger car motor oils to determine the lubricant factors affecting oil consumption. The lubricants covered a wide range of viscosity and viscosity index, and included a synthetic oil and twelve mineral oils having zero, low, or high V.I. improver concentrations. V.I. improvers of different types and viscosity stabilities were included. A method of predicting the oil consumption characteristics of a wide variety of oil types has been developed from these results.