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Showing papers by "Joseph Kestin published in 1991"


Journal ArticleDOI
TL;DR: In this paper, the surface-tension effects in kinematic capillary viscometers of the suspended-level type were investigated and it was shown that surface tension effects are sensitive to the shape of the capillary exit.
Abstract: The results of an experimental study of surface-tension effects in kinematic capillary viscometers of the suspended-level type are presented These results are deduced from a comparison with measurements obtained with a special Ostwald viscometer in which surface-tension effects are negligibly small It is shown that surface-tension effects in suspended-level viscometers are sensitive to the shape of the capillary exit Recommendations how to minimize these effects are discussed

68 citations


Journal ArticleDOI
TL;DR: In this paper, a predictive scheme for the composition dependence of the thermal conductivity of mixtures containing polyatomic gases at zero density is presented, which uses the Monchick-Pereira-Mason kinetic-theory analysis as a starting point.
Abstract: We present a predictive scheme for the composition dependence of the thermal conductivity of mixtures containing polyatomic gases at zero density. This supplements earlier work which developed a method to interpolate for the composition dependence of dense gas mixtures, as well as an earlier procedure to calculate the thermal conductivity of mixtures of monatomic gases. In all cases, the algorithm makes use of accurately measured values of the thermal conductivity of pure gases and is validated with the aid of almost equal accurately measured values of selected binary mixtures. Such accurate data have been obtained mostly in transient hot-wire instruments. The formulae proposed for the calculations use the Monchick-Pereira-Mason kinetic-theory analysis as a starting point but contain a number of detailed improvements. The present algorithm is tested by comparison with measurements on 22 mixtures, which show absolute average deviations from the predictions ranging from 0.7 to 2.7%, with one unexplained case, that of CF4-He mixtures, which show deviations reaching as much as 7%. We estimate that the algorithm predicts the zerodensity thermal conductivity of binary mixtures, containing at least one polyatomic component, with a probable error in the order of 2%.

8 citations