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Papers by Loree D'Orsay
Journal of Materials Engineering and Performance, 2006
Our viscosity-temperature correlation (Miadonye and D'Orsay, J. Mater Eng. Perform., 2006, 15(1),... more Our viscosity-temperature correlation (Miadonye and D'Orsay, J. Mater Eng. Perform., 2006, 15(1), p 13-18; Ref 1) has been extended in this work to estimate the viscosity of light hydrocarbons between a temperature range of 223.15 and 433.15 K and a pressure range from 0.1 to 240 MPa. The correlation was modified to include a pressure term that contains the pressure parameters ⌿ and ⍀. The value for ⍀ was obtained as a constant, and the value of the parameter ⌿ was derived from viscosity-temperature-pressure relationship and is unique for each hydrocarbon sample. With the pressure parameter, ⌿, and the shape factor constant, ⌽, the model produces an average absolute deviation of 2.3% for a total number of 503 data points, an improvement of 46% on correlations with similar simple characteristics. The value of ⌿ has been determined for several light hydrocarbon samples, including crude oil fractions.
Journal of Materials Engineering and Performance, 2006
Viscosity-temperature correlation has been developed for light hydrocarbon solvents. The correlat... more Viscosity-temperature correlation has been developed for light hydrocarbon solvents. The correlation is based on one-parameter viscosity model developed by Puttagunta et al. (Chem. Eng. Res. Des., Vol 70, 1992, p 627-631) for conventional crude oils, which has been modified by incorporating a solvent viscosity reduction factor, ⌽. The correlation was compared with the model of Puttagunta et al. on 22 light hydrocarbon solvents for a total of 318 data points. The average absolute deviation improves to 1.9%, compared with 2.2% obtained with the model over a temperature range from −54.41 to 160°C. The correlation can accurately predict the viscosity of any light hydrocarbon solvent without the need to determine multiple characteristic parameters. This eliminates the consumption of time, energy, and money by costly and cumbersome calculations.
Journal of Materials Engineering and Performance, 2006
Our viscosity-temperature correlation (Miadonye and D'Orsay, J. Mater Eng. Perform., 2006, 15(1),... more Our viscosity-temperature correlation (Miadonye and D'Orsay, J. Mater Eng. Perform., 2006, 15(1), p 13-18; Ref 1) has been extended in this work to estimate the viscosity of light hydrocarbons between a temperature range of 223.15 and 433.15 K and a pressure range from 0.1 to 240 MPa. The correlation was modified to include a pressure term that contains the pressure parameters ⌿ and ⍀. The value for ⍀ was obtained as a constant, and the value of the parameter ⌿ was derived from viscosity-temperature-pressure relationship and is unique for each hydrocarbon sample. With the pressure parameter, ⌿, and the shape factor constant, ⌽, the model produces an average absolute deviation of 2.3% for a total number of 503 data points, an improvement of 46% on correlations with similar simple characteristics. The value of ⌿ has been determined for several light hydrocarbon samples, including crude oil fractions.
Journal of Materials Engineering and Performance, 2006
Viscosity-temperature correlation has been developed for light hydrocarbon solvents. The correlat... more Viscosity-temperature correlation has been developed for light hydrocarbon solvents. The correlation is based on one-parameter viscosity model developed by Puttagunta et al. (Chem. Eng. Res. Des., Vol 70, 1992, p 627-631) for conventional crude oils, which has been modified by incorporating a solvent viscosity reduction factor, ⌽. The correlation was compared with the model of Puttagunta et al. on 22 light hydrocarbon solvents for a total of 318 data points. The average absolute deviation improves to 1.9%, compared with 2.2% obtained with the model over a temperature range from −54.41 to 160°C. The correlation can accurately predict the viscosity of any light hydrocarbon solvent without the need to determine multiple characteristic parameters. This eliminates the consumption of time, energy, and money by costly and cumbersome calculations.