2021
DOI: 10.3390/app11093842
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Application of FTIR-ATR Spectrometry in Conjunction with Multivariate Regression Methods for Viscosity Prediction of Worn-Out Motor Oils

Abstract: 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 °C with an Ubbelohde capillary viscometer (CSN EN ISO 3104) of worn-out motor o… Show more

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Cited by 13 publications
(4 citation statements)
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“…The paper presents a methodology for determining kinematic viscosity 100 °C, but the process of creating a model is generally applicable to a number of other quantities (viscosity index, TBN, TAN, flash point, etc.). [10] The description of the functions of these parameters in the first two stages reached approximately 95% accuracy level. Since the oil degradation process is very complicated and difficult to predict, this result is very good.…”
Section: Resultsmentioning
confidence: 95%
“…The paper presents a methodology for determining kinematic viscosity 100 °C, but the process of creating a model is generally applicable to a number of other quantities (viscosity index, TBN, TAN, flash point, etc.). [10] The description of the functions of these parameters in the first two stages reached approximately 95% accuracy level. Since the oil degradation process is very complicated and difficult to predict, this result is very good.…”
Section: Resultsmentioning
confidence: 95%
“…Principal Components Analysis (PCA), Partial Least-Squares (PLS) regression, Principal Components Regression (PCR), Classical Least-Squares (CLS) regression, etc.). Then the result of calibration is influenced not only by the height or area of bands, but also angle and curvature of the infrared spectrum (Sejkorová et al, 2021).…”
Section: Chemometric Methods In Ftir Spectrometrymentioning
confidence: 99%
“…The main reasons for reducing energy losses in motor vehicles is to reduce the fuel consumption of motor vehicles and thus reduce emissions [129][130][131], reducing the consumption of consumables [132][133][134] and increasing the efficiency and reliability of vehicles [135][136][137][138]. Part of the recovered lost energy can be used to cover the demand of other vehicle electronic systems.…”
Section: Energy Recovery In Road Vehiclesmentioning
confidence: 99%