Prediction of the Cetane Number of Diesel Compounds Using the Quantitative Structure Property Relationship-Reference-Cited by-同舟云学术

Prediction of the Cetane Number of Diesel Compounds Using the Quantitative Structure Property Relationship

Published:2010-09-22 Issue:10 Volume:24 Page:5396-5403
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Creton Benoit¹,Dartiguelongue Cyril²,de Bruin Theodorus¹,Toulhoat Hervé³

Affiliation:

1. IFP Energies nouvelles, Direction Chimie et Physico-Chimie Appliquées, 1 et 4 avenue de Bois Préau, 92852 Rueil-Malmaison, France

2. IFP Energies nouvelles, Direction Physique et Analyse, Rond-point de l’échangeur de Solaize, BP3, 69360 Solaize, France

3. IFP Energies nouvelles, Direction Scientifique, 1 et 4 avenue de Bois Préau, 92852 Rueil-Malmaison, France

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef1008456

Reference21 articles.

1. American Society for Testing and Materials (ASTM). ASTM D613, Standard Test Method for Cetane Number of Diesel Fuel Oil;ASTM:West Conshohocken, PA, 2010.

2. American Society for Testing and Materials (ASTM). ASTM D6890, Standard Test Method for Determination of Ignition Delay and Derived Cetane Number (DCN) of Diesel Fuel Oils by Combustion in a Constant Volume Chamber;ASTM:West Conshohocken, PA, 2010.

3. NEURAL NETWORK PREDICTION OF CETANE NUMBERS FOR ISOPARAFFINS AND DIESEL FUEL

4. Cetane numbers of hydrocarbons: calculations using optimal topological indices

5. Models for the calculation and prediction of the octane and cetane numbers of individual hydrocarbons

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