Experimental Data and Prediction of the Physical and Chemical Properties of Biodiesel. (2019)
- Authors:
- USP affiliated authors: CASTILLO, PEDRO FELIPE ARCE - EEL ; GUIMARÃES, DANIELA HELENA PELEGRINE - EEL
- Unidade: EEL
- DOI: 10.1080/00986445.2018.1555533
- Subjects: REDES NEURAIS; BIODIESEL; NOZES
- Keywords: Artificial neural networks; Waste cooking oil; Biodiesel; Castor beans; Molecular descriptors
- Agências de fomento:
- Language: Inglês
- 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).
- Imprenta:
- Publisher: Taylor & Francis
- Publisher place: Berkeley
- Date published: 2019
- Source:
- Título: Chemical Engineering Communications
- ISSN: 1563-5201
- Volume/Número/Paginação/Ano: v.206, n.10, p.1273-1285, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CASTILLO, Pedro Felipe Arce e GUIMARÃES, Daniela Helena Pelegrine e AGUIRRE, Lucas R. Experimental Data and Prediction of the Physical and Chemical Properties of Biodiesel. Chemical Engineering Communications, v. 206, n. 10, p. 1273-1285, 2019Tradução . . Disponível em: https://doi.org/10.1080/00986445.2018.1555533. Acesso em: 14 fev. 2026. -
APA
Castillo, P. F. A., Guimarães, D. H. P., & Aguirre, L. R. (2019). Experimental Data and Prediction of the Physical and Chemical Properties of Biodiesel. Chemical Engineering Communications, 206( 10), 1273-1285. doi:10.1080/00986445.2018.1555533 -
NLM
Castillo PFA, Guimarães DHP, Aguirre LR. Experimental Data and Prediction of the Physical and Chemical Properties of Biodiesel. [Internet]. Chemical Engineering Communications. 2019 ;206( 10): 1273-1285.[citado 2026 fev. 14 ] Available from: https://doi.org/10.1080/00986445.2018.1555533 -
Vancouver
Castillo PFA, Guimarães DHP, Aguirre LR. Experimental Data and Prediction of the Physical and Chemical Properties of Biodiesel. [Internet]. Chemical Engineering Communications. 2019 ;206( 10): 1273-1285.[citado 2026 fev. 14 ] Available from: https://doi.org/10.1080/00986445.2018.1555533 - Physical, Chemical and Rheological Properties of Blueberry Jam
- Experimental measurements and simulation of the fouling phenomena of natural proteins
- Experimental and prediction of physics and chemical properties of biodiesel
- Effect of Storage Time on the Physical, Chemical, and Rheological Properties of Blueberry Jam: Experimental Measurements and Artificial Neural Network Simulation
- Experimental Data and Thermodynamics Modeling (PC-SAFT EoS) of the {CO 2</sub> + Acetone + Pluronic F-127} System at High Pressures
- Aqueous viscosity of carbohydrates: Experimental data, activity coefficient modeling, and prediction with artificial neural network-molecular descriptors.
- Viscosity of Binary Aqueous Solutions Involving Malonic, Maleic, Malic, Tartaric, and Citric Acids in the Temperature Range between 303 and 363 K: Experimental Data and Modeling
- Análise a abordagem Gamma-Phi na modelagem termodinâmica de sistemas binários contendo componentes presentes no biodiesel
- Experimental study and thermodynamic modeling of xylitol and sorbitol solubility in mixtures of methanol and ethanol at different temperatures
- Phase behaviour of the {co2 + acetone + pluronic f-127} system at high-pressures
Informações sobre o DOI: 10.1080/00986445.2018.1555533 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
