Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2658
Title: Determination of aluminum rolling oil additives and contaminants using infrared spectroscopy coupled with genetic algorithm based multivariate calibration
Authors: Yalçın, Ayşegül
Ergün, Didem
İnanç Uçar, Özlem
Özdemir, Durmuş
Yalçın, Ayşegül
Ergün, Didem
İnanç Uçar, Özlem
Özdemir, Durmuş
Keywords: Gas chromatography
Aluminum rolling oils
Genetic algorithms
Infrared spectroscopy
Multivariate calibration
Issue Date: Sep-2010
Publisher: Elsevier Ltd.
Source: Yalçın, A., Ergün, D., İnanç Uçar, Ö., and Özdemir, D. (2010). Determination of aluminum rolling oil additives and contaminants using infrared spectroscopy coupled with genetic algorithm based multivariate calibration. Vibrational Spectroscopy, 54(1), 10-20. doi:10.1016/j.vibspec.2010.05.002
Abstract: Genetic algorithm based multivariate calibration models were generated for infrared spectroscopic determination of aluminum rolling oil additives and contaminants such as gear and hydraulic oils. Two different additives and six different suspected contaminants were investigated in the base oil lubricant. Routine analysis samples from 9 different aluminum rolling systems were collected in a period of 2 months in an aluminum rolling plant and gas chromatography (GC) is used as the reference method. Infrared absorbance spectra of the samples were then collected and the reference values obtained with GC were used together with these spectra for model building. Inverse least squares method was optimized with a genetic algorithm by selecting the most contributing regions of the infrared spectra for each component. The R2 values between GC and multivariate spectroscopic determinations were around 0.99 indicating a good correlation between the two methods. Performance of genetic algorithm based multivariate calibration models were also compared with partial least squares (PLS) method. The study showed that infrared spectroscopy coupled with multivariate calibration can be used for continuous monitoring of additives and contaminants in aluminum rolling oil. By this way, analysis time is significantly reduced and simultaneous determination of all the components can be accomplished. © 2010 Elsevier B.V. All rights reserved.
URI: http://doi.org/10.1016/j.vibspec.2010.05.002
http://hdl.handle.net/11147/2658
ISSN: 0924-2031
Appears in Collections:Chemistry / Kimya
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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