Assessment of predictive methods for the heat transfer coefficient during flow boiling of R50 and R170 mixtures

Abstract Liquefied natural gas (LNG) is a binary mixture of methane (R50) and ethane (R170). Proper evaluation the heat transfer coefficient during flow boiling such very important to design LNG facilities. Pure fluid correlations have been tested with without adoption corrections account for lowered performance due mass resistances arising both in nucleate convective regimes. In total, prediction 13 has compared new data set from literature. Results show that correction related greatest impact though, general, leads under predict data.