Rapid Models for Predicting the Low‐Temperature Behavior of Diesel

Author:

Vráblík Aleš1,Velvarská Romana1,Štěpánek Kamil1,Pšenička Martin1,Hidalgo José Miguel1,Černý Radek1

Affiliation:

1. Unipetrol Centre for Research and Education, a.s. (UNICRE) Areál Chempark 436 70 Záluží 1 Czech Republic

Funder

Ministerstvo Průmyslu a Obchodu

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference19 articles.

1. EN 116:2015 Diesel and domestic heating fuels – Determination of cold filter plugging point – Stepwise cooling bath method European Committee for Standardization Brussels2015.

2. EN 590:2013+A1:2017 Automotive fuels – Diesel – Requirements and Test Methods European Committee for Standardization Brussels2017.

3. Cloud and pour points in fuel blends

4. Artificial neural network model to predict cold filter plugging point of blended diesel fuels

5. Multivariate near infrared spectroscopy models for predicting the iodine value, CFPP, kinematic viscosity at 40°C and density at 15°C of biodiesel

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