Experimental data and prediction of the physical and chemical properties of biodiesel

Author(s)

Arce, Pedro F. ^[1] ; Guimaraes, Daniela H. P. ^[1] ; de Aguirre, Lucas R. ^[1]

Affiliation

^[1] Univ Sao Paulo, Engn Sch Lorena, Dept Chem Engn, Lorena, SP - Brazil

• Document type: Journal article
• Source: Chemical Engineering Communications; v. 206, n. 10, p. 1273-1285, OCT 3 2019.
• Web of Science Citations: 0

Abstract

In this work, production of biodiesel from blends of virgin castor oil (VCO) and waste frying oil (WFO) was studied. Initial blends and the biodiesel obtained were characterized and the properties were analyzed statistically. Results indicated that the content of WFOs of the blends influenced the physical and chemical properties of the biofuel, but did not influence the rheological behavior of the biodiesel. Physical and chemical properties of biodiesel were also predicted using molecular descriptors (MDs) using several architectures of artificial neural networks (ANNs). Optimum architecture (configuration 10-2-20-3) was found for the lowest deviations in the three dependent variables (fuel acidity, ketone index, and kinematic viscosity). (AU)

• FAPESP's process: 15/05155-8 - Modeling of the thermophysical properties of pure fluids (ionic liquids and components present in natural products) and thermodynamic behaviour of the phase equilibrium of mixtures
• Grantee: Pedro Felipe Arce Castillo
• Support Opportunities: Regular Research Grants
• FAPESP's process: 14/27341-5 - Pysico-chemical and rheological parameters of ethyl biodiesel produced from a mixture of castor oil and mixed waste fats
• Grantee: Lucas Romano de Aguirre
• Support Opportunities: Scholarships in Brazil - Scientific Initiation