Florido, Priscila M. published the artcileStudy of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties, Product Details of C23H46O2, the main research area is biodiesel FAME system database evaluation predicting model.
The present paper reports a viscosity and d. unpublished database of systems formed for fatty acid Me esters (FAMEs), leading to 426 exptl. data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict d. and viscosity, resp. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. D. estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, resp. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation.
Renewable Energy published new progress about Biodiesel fuel. 929-77-1 belongs to class esters-buliding-blocks, name is Methyl docosanoate, and the molecular formula is C23H46O2, Product Details of C23H46O2.
Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics