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Coarse coal hydrotransport data predictions.
Lombardo NJ; Eyler LL
Pittsburgh, PA: U.S. Department of the Interior, Bureau of Mines, Contract - C-1830, 1980 Jan; :1-48
act This report describes an independent evaluation of the hydrodynamic data obtained with coarse coal in 3- and 6-in. recirculation loops. The measured data are compared with several recently published predictive methods to evaluate data quality and determine data trends. A limited parameterization of these models to investigate their sensitivity is also presented. In recirculating loop tests, velocity ranges of 2 through 15 ft/sec were used to pump solid concentrations of up to 45% by weight. Pressure drop data were obtained for particle-to-pipe diameter ranges to 0.25 under various flow conditions. The predictive methods used to analyze the hydrodynamic data obtained include mechanistic models and empirical correlations. For each method, predicted versus measured headloss gradients were plotted to evaluate the ability of each method to reproduce the parameter trends exhibited by the pressure drop data. Of the five methods selected for analyzing the data, three could be used to predict the head loss gradients with some certainty, including a sliding bed model that provided predicted results equal to a regression analysis of the original data. The original correlation of the data was found to be capable of reproducing 90% of the measured results to within +-30%. It was therefore concluded that the original correlation and the sliding bed model provided sufficient accuracy to be used as a means for estimating the headloss for coarse particle coal systems in 3- and 6-in. lines. The success of the predictive methods in reproducing the parameter trends indicate that the data obtained were reasonably accurate and reliable. It is is expected that mechanistic models can become a valuable design tool for predicting hydrotransport performance over ranges of parameters.
Coal; Slurry pipelines; Comparative evaluations; Correlations; Friction factor; Mathematical models; Parametric analysis; Pressure drop; Transport
CP; Final Contract Report
NTIS Accession No.
Contract - C-1830
Pittsburgh, PA: U.S. Department of the Interior, Bureau of Mines, Contract - C-1830
PA; WA; TN
Battelle Pacific Northwest Labs., Richland, Washington
Page last reviewed: November 6, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division