Accession Number : ADA133564

Title :   Predicting the Yield Performances of Multicomponent Oil Smokes Confined in Closed Chambers.

Descriptive Note : Technical rept. Jan-Nov 80,

Corporate Author : ARMY ARMAMENT RESEARCH AND DEVELOPMENT COMMAND ABERDEEN PROVING GROUND MD CHEMICAL SYSTEMS LAB

Personal Author(s) : Rubel,Glenn O

PDF Url : ADA133564

Report Date : Jun 1983

Pagination or Media Count : 19

Abstract : A semiempirical model is developed to predict the yield performances of multicomponent oil smokes confined in closed chambers. The model employs vapor pressure-percent mass evaporated correlations, which were derived from oil droplet evaporation studies, to predict the saturation requirements of fog, oil, PEG 200 and No. 2 diesel fuel. Comparison of model predictions and experiment indicates good agreement for fog oil and PEG 200 vaporization/condensation yield tests. Both model and experiment demonstrate the inferior yield performance of No. 2 diesel fuel, possessing a yield less than half that of either fog oil or PEG 200. The lower yield performance of No. 2 diesel fuel is due to the high volatility of diesel fuel as compared to fog oil or PEG 200. The model also illustrates the dependency of multicomponent oil yield performances on chamber volume. As a result, while fog oil and PEG200 will be characterized by similar yields at a specific chamber volume, the yield equivalency will not hold at larger chamber volumes. Implications on the liquid smoke-open atmosphere persistency characteristics are discussed. Finally, the hygroscopic nature of PEG 200 is discussed and a model is developed for the prediction of the yield performance of PEG 200 as a function of relative humidity. It is also shown the yield of PEG 200 can exceed that of fog oil under high-relative humidity conditions. (Author)

Descriptors :   *Smoke, *Oils, *Yield, Test methods, Chambers, Confinement(General), Models, Humidity, Vapor pressure, Evaporation, Correlation techniques, Drops, Saturation, Requirements, Fog, Diesel fuels, Vaporization, Condensation, Volatility, Predictions, Hygroscopicity

Subject Categories : Combustion and Ignition

Distribution Statement : APPROVED FOR PUBLIC RELEASE