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Goriva i maziva : časopis za tribologiju, tehniku podmazivanja i primjenu tekućih i plinovitih goriva i inžinjerstvo izgaranja, Vol. 51 No. 3, 2012.

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PREDICTION OF USED LUBRICATING OILS PROPERTIES BY INFRARED SPECTROSCOPY USING MULTIVARIATE ANALYSIS

Slavica Marinović orcid id orcid.org/0000-0001-9256-4142 ; INA d.d.
Ante Jukić ; Sveučilište u Zagrebu, Fakultet kemijskog inženjersva i tehnologije
Dubravka Doležal ; INA d.d.
Branka Špehar ; INA d.d.
Marko Krištović ; INA d.d.

Puni tekst: hrvatski pdf 1.022 Kb

str. 194-204

preuzimanja: 886

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Puni tekst: engleski pdf 980 Kb

str. 205-215

preuzimanja: 2.344

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Sažetak

Infrared spectroscopy (IR) in combination with partial least squares regression (PLS) algorithm was applied to develop calibration models for rapid and accurate simultaneous determination of the properties of used lubricating oils: density, viscosity, and pour point. Training sets were composed of hundred used lubricating oil samples. PLS calibration models for each property have been developed by using IR transmission spectra without spectral pretreatment. Cross validation technique was applied for validating models. The PLS models showed very good correlation with corresponding reference methods. Results indicated PLS models based on infrared spectra as practical and reliable analytical methods for routine monitoring of used lubricating oil.

Ključne riječi

used lubricating oil; prediction of properties; infrared spectroscopy; multivariate analysis; partial least squares regression; density; viscosity; pour point

Hrčak ID:

89606

URI

https://hrcak.srce.hr/89606

Datum izdavanja:

16.10.2012.

Podaci na drugim jezicima: hrvatski

Posjeta: 4.078 *