An assessment of two-phase pressure drop correlations for steam-water systems
Todreas, Neil E.
MetadataShow full item record
Eighteen two-phase friction pressure drop models and correlations are compared to 2220 experimental steam-water pressure drop measurements under adiabatic conditions and 1230 in diabatic flow conditions. The data represents several geometries and has the following property ranges: Pressure - 250 - 1500 psia Mass Velocity .2X10(6) - 3.2X10(6)1bm/hr-ft(2) Quality - subcooled to 1.0 Equivalent Diameters - .0 9 - 1.3 in. The four models and correlations that coincided most nearly to the entire data collection were the Baroczy correlation, the Thom correlation and the homogeneous model two-phase friction multipliers, [handwritten equation] The correlations are also evaluated with the data being subdivided into sets which are based on properties.
This thesis document was issued under the authority of another institution, not NPS. At the time it was written, a copy was added to the NPS Library Collection for reasons not now known. It has been included in the digital archive for its historical value to NPS. Not believed to be a CIVINS (Civilian Institutions) title.
Showing items related by title, author, creator and subject.
Parke, Matthew C. (Monterey, California. Naval Postgraduate School, 1994-12);A statistical analysis is performed on a six-month global data set consisting of satellite-derived channel 3 Microwave Sounding Unit (MSU) brightness-temperatures from the Marshall Space Flight Center and various ...
Mickelinc, Mark W. (Monterey, California. Naval Postgraduate School, 1995-12);A statistical study of satellite derived channel 3 Microwave Sounding Unit (MSU) brightness-temperatures and conventionally derived fields by Parke (1994) showed that the MSU can be used to locate baroclinic waves. Most ...
Dewald, Lee S.; McKenzie, Edward; Lewis, Peter A.W.; McKenzie, Ed (Monterey, California. Naval Postgraduate School, 1986-10); NPS-55-86-019A simple time series model for bivariate exponential variables having first-order auto-regressive structure is presented. The linear random coefficient difference equation model is an adaptation of the New Exponential ...