Modeling and Forecasting of Depletion of Additives in Car Engine Oils Using Attenuated Total Reflectance Fast Transform Infrared Spectroscopy
Modeling and Forecasting of Depletion of Additives in Car Engine Oils Using Attenuated Total Reflectance Fast Transform Infrared Spectroscopy
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DOI：
10.3390/lubricants2040206
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发表时间：
2014-12-01
期刊：
影响因子：
3.5
通讯作者：
Mohammad, Khalid
中科院分区：
文献类型：
--
作者：
Nguele, Ronald;Al-Salim, Hikmat Said;Mohammad, Khalid
平均而言，添加剂占典型润滑油基础油的 7%。通常，它们与润滑油混合以增强特定功能，从而提高其质量。最终，添加剂影响汽车发动机油的性能。使用分析工具，衰减全反射快速变换红外光谱，对不同里程的各种等级的汽车发动机油进行了分析。研究发现，硫酸盐氧化和磨损会引发化学过程，从长远来看，会导致润滑剂降解，而羰基氧化则仅以缓慢的速度发生。基于从红外光谱获得的数据并使用曲线拟合技术，检查了预测由于上述过程引起的化学变化的理论速率的数学方程。发现加性消耗服从指数回归而不是多项式。此外，还确定了两个样品的断点（此处使用断点表示添加剂开始劣化）和临界里程（临界里程定义了润滑剂在化学上无法使用的距离）。
On average, additives make up to 7% of a typical lubricant base. Commonly, they are blended with lube oils to enhance specific features thereby improving their qualities. Ultimately, additives participate in the performance of car engine oils. Using an analytical tool, attenuated total reflectance fast transform infrared spectroscopy, various grades of car engine oils, at different mileages, were analyzed. Sulfate oxidation and wear were found to trigger chemical processes which, in the long run, cause lubricant degradation while carbonyl oxidation was observed to occur only at a slow rate. Based upon data obtained from infrared spectra and using a curve fitting technique, mathematical equations predicting the theoretical rates of chemical change due to the aforementioned processes were examined. Additive depletions were found to obey exponential regression rather than polynomial. Moreover, breakpoint (breakpoint is used here to denote the initiation of deterioration of additives) and critical mileage (critical mileage defines the distance at which the lubricant is chemically unusable) of both samples were determined.