Abstract
The effect of hydrocarbon base-oil composition on the low temperature rheology of lubricants was evaluated in this study. Average structural parameters (ASPs) were derived using 13C nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS). These ASPs were then used to develop statistical and neural network models capable of predicting the low temperature properties (LTPs) of base-oil. Isoparaffinic structures were found to be most important in defining low temperature rheology.
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Sharma, B., Stipanovic, A. Predicting Low Temperature Lubricant Rheology Using Nuclear Magnetic Resonance Spectroscopy and Mass Spectrometry. Tribology Letters 16, 11–19 (2004). https://doi.org/10.1023/B:TRIL.0000009709.83578.f5
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DOI: https://doi.org/10.1023/B:TRIL.0000009709.83578.f5