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

Autor(es)

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

Afiliação do(s) autor(es)

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

• Tipo de documento: Artigo Científico
• Fonte: Chemical Engineering Communications; v. 206, n. 10, p. 1273-1285, OCT 3 2019.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 15/05155-8 - Modelagem de propriedades termofísicas de fluidos puros (líquidos iônicos e compostos presentes em produtos naturais) e comportamento termodinâmico do equilíbrio de fases de misturas
• Beneficiário: Pedro Felipe Arce Castillo
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 14/27341-5 - Determinação dos parâmetros físico-químicos e reológicos do biodíesel etílico produzido a partir do óleo de mamona misturado aos óleos e gorduras residuais (OGR)
• Beneficiário: Lucas Romano de Aguirre
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica