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U.S. Department of Energy
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Hydrodynamics and heat transfer related to coal liquefaction preheaters

Technical Report ·
OSTI ID:6655848
There is a sufficient data base to explore pressure drop and heat transfer for a non-phase change, Newtonian liquid-gas two-component mixture in vertical upward and downward flow. However, new data will help to clarify the role played by the U-tube geometry. The current state of two-component boiling heat transfer and pressure drop in a vertical U-tube geometry is deficient for Newtonian liquid-gas mixtures and virtually non-existent for non-Newtonian liquid-gas mixtures. An understanding of flow and temperature instabilities observed in coal liquefaction preheaters might best be approached using traditional analyses. The instability reported in the Ft. Lewis plant is similar to a static type instability caused by a multi-valued ..delta..p versus flow relationship observed previously for many types of two-phase gas-liquid flow systems. In a typical coal liquefaction pilot plant, the coal slurry is in laminar flow and the multivalued pressure drop versus flow relationship is generated by drag reduction; i.e., a condition where the two-phase pressure drop is less than the single phase pressure drop. Accurate and reliable rheological analysis of two-phase non-Newtonian liquid-gas flowing mixtures should be supported by in depth data and analysis obtained for single phase non-Newtonian flow systems. However, in the case of high swelling coal slurries, it will be extremely difficult to obtain single phase rheological experimental data in the high swelling high temperature region. Because of this limitation, physical models must be developed to extend the rheological data such as the apparent viscosity, flow index and consistency index, to the high swelling region. A second approach is to model the rheology directly from the two-phase system. However, this method requires that suitable non-Newtonian correlations and/or analysis be used, otherwise the properties, such as apparent viscosity, could be grossly underpredicted. 56 references, 18 figures, 9 tables.
Research Organization:
Pittsburgh Univ., PA (USA). Dept. of Chemical and Petroleum Engineering
DOE Contract Number:
AC22-81PC41030
OSTI ID:
6655848
Report Number(s):
DOE/PC/41030-T2; ON: DE84015829
Country of Publication:
United States
Language:
English