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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/62360FA9-A7AF-4A08-93B8-B5C95A4BFC4F | - |
| Identifier | https://doi.org/ 10.1016/j.fuel.2005.09.016 | - |
| Language | en | - |
| Title | Prediction of the distillation profile and cold properties of diesel fuels using mid-IR spectroscopy and neural networks | en |
| Creator | Pasadakis Nikos | en |
| Creator | Πασαδακης Νικος | el |
| Creator | S. Sourligas | en |
| Creator | Ch. Foteinopoulos | en |
| Publisher | Elsevier | en |
| Content Summary | In this paper, the distillation curve points and certain cold properties of diesel fuel fractions were determined by means of mid infrared spectroscopy (IR) and artificial neural networks (ANNs). Distinct ANN models were developed for the prediction of the distillation curve with 5% recovery increment, and for the pour (PP) and cloud (CP) points. The properties of interest were measured experimentally following standard ASTM methods. The developed prediction algorithms were tested on unseen data and exhibited high level of accuracy, comparable to the one of the standard laboratory methods. The presented algorithms can be used as a rapid and reliable tool in quality control applications of the various fractions involved in diesel fuel production, since they can determine several important properties simultaneously based on a single and fast IR measurement | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-12 | - |
| Date of Publication | 2006 | - |
| Bibliographic Citation | N. Pasadakis, S. Sourligas, Ch. Foteinopoulos: “Prediction of the distillation profile and cold properties of diesel fuels using mid-IR spectroscopy and neural networks”,Fuel, Volume 85, Issues 7–8, May 2006, Pages 1131–1137, DOI:10.1016/j.fuel.2005.09.016 | en |
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