abstract
Surface tension is one of the key properties that directly affects fuel atomization. A large value of this property makes the formation of small droplets difficult, hampering the correct fuel atomization on the engine combustion chamber. Despite its importance, there are very few data on the surface tension of biodiesels or fatty acid esters from which biodiesels are composed and even less are available on its temperature dependence. To overcome this limitation, this work reports experimental surface tensions for 10 biodiesel fuels in a wide temperature range and evaluates the ability of two models to predict these data: the parachor-based MacLeod-Sugden equation and the density gradient theory based on the cubic-plus-association equation of state (CPA EoS). It is shown that both models provide an acceptable description of the experimental surface tension of the biodiesel fuels studied, with an overall average relative deviation (OARD) of 7.7% for the MacLeod-Sugden equation using the Allen's parachors and 1.3% with the Knotts' parachors, while the CPA EoS combined with the gradient theory presents an OARD of 9.7%. The surface entropy and enthalpy derived from the measured surface tensions are also reported, and their values indicate the importance of the surface ordering in biodiesel fuels. Given the scarcity of data on surface tensions, these models prove to be useful for predicting surface tensions and their temperature dependence for biodiesel fuels.
keywords
EQUATION-OF-STATE; DENSITY EXPERIMENTAL MEASUREMENTS; VAPOR-LIQUID INTERFACES; PLUS ALCOHOL SYSTEMS; FATTY-ACID METHYL; CPA EOS; GRADIENT THEORY; IONIC LIQUIDS; MULTICOMPONENT SYSTEMS; MUTUAL SOLUBILITIES
subject category
Energy & Fuels; Engineering
authors
Freitas, SVD; Oliveira, MB; Queimada, AJ; Pratas, MJ; Lima, AS; Coutinho, JAP
our authors
acknowledgements
Samuel V. D. Freitas acknowledges funding from Fundacao para a Ciencia e a Tecnologia through his Ph.D. Grant SFRH/ BD/51476/2011, Fundacao Oriente, and the University of Aveiro. Maria Jorge Pratas acknowledges financial support from Fundacao para a Ciencia e a Tecnologia through her Ph.D. Grant SFRH/BD/28258/2006.