@Article{hmt.v1.2.3003,
AUTHOR = {Kenneth M. Armijo, Van P. Carey},
TITLE = {PREDICTION OF BINARY MIXTURE BOILING HEAT TRANSFER IN  SYSTEMS WITH STRONG MARANGONI EFFECTS},
JOURNAL = {Frontiers in Heat and Mass Transfer},
VOLUME = {1},
YEAR = {2010},
NUMBER = {2},
PAGES = {1--6},
URL = {http://www.techscience.com/fhmt/v1n2/55799},
ISSN = {2151-8629},
ABSTRACT = {This paper investigates the impact of Marangoni phenomena for low concentrations of 2-propanol/water and methanol/water mixtures. In real 
systems the addition of small levels of surface-active contaminants can affect the surface tension of the liquid-vapor interface and thermodynamic 
conditions in this region. Analysis was performed for three widely accepted binary mixture correlations to predict heat flux and superheat values for 
subatmospheric experimental data using bulk fluid and film thermodynamic properties. Due to the non-ideal nature of these alcohol/water mixtures, 
this study also employs an average pseudo single-component (PSC) coefficient in place of an ideal heat transfer coefficient (HTC) to improve the 
correlation predictions. This investigation evaluates the ability for these correlations to predict strong Marangoni effects of mixtures that have large 
surface tension variation with concentration under subatmospheric conditions. It is not always clear that evaluation of bulk fluid properties will 
satisfactorily account for Marangoni effects. Analysis is also performed to assess correlation predictions for interfacial film properties rather than 
that of the bulk fluid. The results indicate that the use of film properties along with the PSC coefficient improves heat flux model predictions of 
subatmospheric experimental data by as much as 59.3% for 0.015M 2-propanol and 49.1% for 0.04M methanol/water mixtures, where strong 
Marangoni effects are believed to be more evident.},
DOI = {10.5098/hmt.v1.2.3003}
}