title: Near-infrared spectroscopy for on-line monitoring of lube base oil processes.
abstract: Near-infrared (NIR) spectroscopy has been utilized for monitoring the pour point of the lube base oil (LBO) process. Using partial least-squares (PLS) regression, necessary spectral features were successfully extracted and correlated to the reference pour-point data. In a preliminary laboratory feasibility study, it was found that PLS calibration performance was largely governed by the accuracy of the reference pour-point analysis. The same NIR spectroscopic methodology was moved to monitor the pour point continuously in an on-line manner. At this time, the NIR spectrometer was calibrated with the existing on-line pour-point analyzer, which was more accurate. In comparison with the on-line pour-point analyzer, NIR spectroscopy provided faster and more repeatable analytical data. With the help of NIR analysis, LBO process variations during product switch can be detected earlier, and necessary process-control strategy can be applied to improve the process efficiency.
authors.affiliation: Department of Chemistry, College of Natural Sciences, Hanyang University, Haengdang-Dong, Seongdong-Gu, Seoul, Korea. hoeil@hanyang.ac.kr
authors.forename: Hoeil
authors.initials: H
authors.lastname: Chung
authors.forename: Min-Sik
authors.initials: MS
authors.lastname: Ku
mesh_terms: D000465:Algorithms; D005240:Feasibility Studies; D007219:Industrial Oils; D016018:Least-Squares Analysis; D008153:Lubrication; D010578:Petroleum; D015203:Reproducibility of Results; D012212:Rheology / Q000379:methods*; D012680:Sensitivity and Specificity; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D013696:Temperature; D014783:Viscosity
chemical_list: D010578:Petroleum