Application of FTIR-ATR spectrometry in conjunction with multivariate regression methods for viscosity prediction of worn-out motor oils
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F21%3A39917388" target="_blank" >RIV/00216275:25510/21:39917388 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/11/9/3842" target="_blank" >https://www.mdpi.com/2076-3417/11/9/3842</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app11093842" target="_blank" >10.3390/app11093842</a>
Alternative languages
Result language
angličtina
Original language name
Application of FTIR-ATR spectrometry in conjunction with multivariate regression methods for viscosity prediction of worn-out motor oils
Original language description
Viscosity is considered to be a key factor in the quality of lubrication by oil and engine manufacturers and is therefore one of the most monitored parameters of lubricants. FTIR (Fourier-transform infrared) spectrometry in combination with Partial Least Squares (PLS) and Principal Component Regression (PCR) was therefore proposed and tested as an alternative to the standardized method for determining the kinematic viscosity at 100 degrees C with an Ubbelohde capillary viscometer (CSN EN ISO 3104) of worn-out motor oil grade SAE 15W-40. The FTIR-PLS model in the spectral region of 1750-650 cm(-1) with modification of the spectra by the second derivative proved to be the most suitable. A significant dependence of R = 0.95 was achieved between the viscosity values of 190 samples of worn-out motor oils, which were determined by a standardized laboratory method, and the values predicted by the FTIR-PLS model. The Root Mean Square Error of Calibration (RMSEC) parameter reached 0.148 mm(2)s(-1) and the Root Mean Square Error of Prediction (RMSEP) parameter reached 0.190 mm(2)s(-1). The proposed method for determining the kinematic viscosity at 100 degrees C by the FTIR-PLS model is faster compared to the determination according to the CSN EN ISO 3104 standard, requires a smaller amount of oil sample for analysis and produces less waste chemicals.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20501 - Materials engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
APPLIED SCIENCES-BASEL
ISSN
2076-3417
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
9
Country of publishing house
CH - SWITZERLAND
Number of pages
11
Pages from-to
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UT code for WoS article
000649877300001
EID of the result in the Scopus database
2-s2.0-85105174055