thermal oxidation process
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Author(s):  
Daniel Dickes ◽  
Beyza Öztürk ◽  
Rainer Völkl ◽  
Mathias C. Galetz ◽  
Uwe Glatzel

2021 ◽  
Vol 282 ◽  
pp. 128679
Author(s):  
A. Maytorena-Sánchez ◽  
J. Hernández-Torres ◽  
F. López-Huerta ◽  
M.A. Hernández-Campos ◽  
L. Zamora-Peredo ◽  
...  

2020 ◽  
Vol 73 (5) ◽  
pp. 1373-1381
Author(s):  
Anil Kumar ◽  
Manoj Kumar Kushwaha ◽  
Mohammad Israr ◽  
Rakesh Kumar

Lubricants ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 24 ◽  
Author(s):  
Ali Abdul-Munaim ◽  
Torrey Holland ◽  
Poopalasingam Sivakumar ◽  
Dennis Watson

Fourier Transform-Infrared (FT-IR) spectroscopy was used to analyze gasoline engine oil (SAE 5W20) samples that were exposed to seven different oxidation times (0 h, 24 h, 48 h, 72 h, 96 h, 120 h, and 144 h) to determine the best wavenumbers and wavenumber ranges for the discrimination of the oxidation times. The thermal oxidation process generated oil samples with varying total base number (TBN) levels. Each wavenumber (400–3900 cm−1) and wavenumber ranges identified from the literature and this study were statistically analyzed to determine which wavenumbers and wavenumber ranges could discriminate among all oxidation times. Linear regression was used with the best wavenumbers and wavenumber ranges to predict oxidation time.


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