Exploratory analysis of biodiesel/diesel blends by Kohonen neural networks and infrared spectroscopy-Reference-Cited by-同舟云学术

Exploratory analysis of biodiesel/diesel blends by Kohonen neural networks and infrared spectroscopy

Published:2015 Issue:8 Volume:7 Page:3512-3520
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Cardoso Galhardo Carlos Eduardo¹²³⁴⁵,Rocha Werickson Fortunato de Carvalho¹²³⁶⁵

Affiliation:

1. National Institute of Metrology

2. Quality and Technology (Inmetro)

3. Directorate of Industrial and Scientific Metrology

4. Materials Metrology Division

5. Duque de Caxias

6. Chemical Metrology Division

Abstract

In this work, a rapid and non-destructive methodology was proposed for the evaluation of biodiesel/diesel blends with respect to the biodiesel feedstock type.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/AY/C4AY02995J

Reference45 articles.

1. J. H. Seinfeld and S. N.Pandis, Atmospheric chemistry and physics: from air pollution to climate change, John Wiley & Sons, New York, 2012

2. Aviation gas turbine alternative fuels: A review

3. Bio-diesel as an alternative fuel for diesel engines—A review

4. A comprehensive review on biodiesel as an alternative energy resource and its characteristics

5. Comitê Nacional de Organização Rio+20. Relatório Rio+20 O Modelo Brasileiro. Relatório de Sustentabilidade da Organização da Conferência das Nações Unidas Sobre Desenvolvimento Sustentável, http://www.rio20.gov.br, accessed December 2014

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