2016
DOI: 10.13031/trans.59.11448
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Using Terahertz Time-Domain Spectroscopy to Discriminate among Water Contamination Levels in Diesel Engine Oil

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Cited by 24 publications
(6 citation statements)
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“…The highest standard deviation of measurements for the samples at 1.0 THz was 0.0001. The 1.0 THz refractive index of the 0 h sample was within 0.0001 of the refractive index of fresh diesel engine oil from a prior study using a similar THz-TDS configuration [28]. The refractive indices of oxidized diesel engine oil were higher than oxidized gasoline engine oil refractive indices of 1.4666-1.4672 at 1.0 THz for thermal oxidation times of 0-144 h [29].…”
Section: Refractive Index For Single Cuvettesupporting
confidence: 59%
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“…The highest standard deviation of measurements for the samples at 1.0 THz was 0.0001. The 1.0 THz refractive index of the 0 h sample was within 0.0001 of the refractive index of fresh diesel engine oil from a prior study using a similar THz-TDS configuration [28]. The refractive indices of oxidized diesel engine oil were higher than oxidized gasoline engine oil refractive indices of 1.4666-1.4672 at 1.0 THz for thermal oxidation times of 0-144 h [29].…”
Section: Refractive Index For Single Cuvettesupporting
confidence: 59%
“…Increased oxidation time resulted in an increase in the refractive index for diesel engine oil, similar to water contamination [28]. The increased refractive index with oxidation time was similar to oxidized gasoline engine oil [29] and increased viscosity of gasoline engine oil [25].…”
Section: Refractive Indexmentioning
confidence: 74%
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“…In this context, an improved knowledge of the optical and dielectric properties of these fuels and their mixtures is interesting because they are related to the nonlinearities in some properties of relevance for internal combustion engines [13,14]. An additional possibility is their use as onboard indicators of the fuel quality [15] and the presence of impurities [16,17] and as quality control indicators on production and blending processes [18].…”
Section: Introductionmentioning
confidence: 99%
“…These include viscosity sensors [19], mass sensors [21], cyclic voltammetry [23], carbon nanotube sensors [25], and photoacoustic detection [28]. Other methods have included Fourier-transform infrared (FT-IR) spectroscopy [1,[30][31][32][33][34][35], to determine oxidation [30,31,36] and water contamination [33,34,37], and terahertz timedomain spectroscopy [38,39].…”
Section: Introductionmentioning
confidence: 99%