Details

Autor(en) / Beteiligte

• Yuan, W.
• Hansen, A.C.
• Zhang, Q.

Titel

Predicting the temperature dependent viscosity of biodiesel fuels

Ist Teil von

• Fuel (Guildford), 2009-06, Vol.88 (6), p.1120-1126

Ort / Verlag

Kidlington: Elsevier Ltd

Erscheinungsjahr

2009

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The purpose of this work was to develop a method for predicting temperature dependent viscosities of biodiesel based on fatty acid ester composition. The Grunberg–Nissan equation combined with a group contribution method was used as the mixing rule to calculate viscosities of mixtures of fatty acid esters. Prediction errors at 25 °C were less than 2.5% for 22 mixtures of fatty acid ethyl esters. Compared with experimentally measured viscosities at 20–100 °C, predicted viscosities of soybean oil and yellow grease methyl esters were within 3%. For coconut, palm and canola oil methyl esters, maximum errors were underestimations at approximately 7%.