Please use this identifier to cite or link to this item:
http://hdl.handle.net/1843/67450
Type: | Artigo de Periódico |
Title: | Reid vapor pressure prediction of automotive gasoline using distillation curves and multivariate calibration |
Authors: | Gisele Mendes Helga Gabriela Aleme Paulo Jorge Sanches Barbeira |
Abstract: | Partial least squares regression (PLS) in conjunction with distillation curves (ASTM D86) were used successfully to predict the vapor pressure of automotive gasoline. The errors obtained in the calibration and validation models (0.71 and 0.69 kPa) were lower than those reported in the literature. In addition, the proposed method is inexpensive, reduces test time and is easy to implement, making it an alternative method for gasoline quality control. It does be possible because the distillation tests are already routinely performed by ANP as one of the evaluation parameter of the automotive gasoline quality. |
Subject: | Pressão de vapor Gasolina Estatistica - Processamento de dados Destilação Minimos quadrados |
language: | eng |
metadata.dc.publisher.country: | Brasil |
Publisher: | Universidade Federal de Minas Gerais |
Publisher Initials: | UFMG |
metadata.dc.publisher.department: | ICX - DEPARTAMENTO DE QUÍMICA |
Rights: | Acesso Restrito |
metadata.dc.identifier.doi: | https://doi.org/10.1016/j.fuel.2016.09.046 |
URI: | http://hdl.handle.net/1843/67450 |
Issue Date: | 2017 |
metadata.dc.url.externa: | https://www.sciencedirect.com/science/article/pii/S0016236116309036 |
metadata.dc.relation.ispartof: | Fuel |
Appears in Collections: | Artigo de Periódico |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.