Condition monitoring of lubricating oils in diesel engines

我们的工业合作伙伴Gastops Ltd是加拿大旋转机械状态监测领域的全球领导者。目前，该公司正在与卡尔顿大学合作，研究润滑油降解的物理和化学机制，从而有可能开发出能够预测润滑油剩余使用寿命的在线传感器实时状态监测技术。这项研究需要两个基本的科学贡献。第一种方法是校准和表征在线传感器将产生的信号。这需要仔细、可控的油降解实验，并使用完善的实验室工具对产生的副产品进行准确的表征。第二个要求是油降解过程的精确建模。一旦对传感器进行了校准，以准确识别关键降解副产物的类型和浓度，只有在存在一个模型来根据润滑油的当前状态和机械的预期运行条件推断润滑油的状况时，它才能预测润滑油的剩余使用寿命。我们将理论、计算和实验相结合的方法将导致具有这种预测能力的化学动力学模型的发展。

Our industrial partner, Gastops Ltd, is a Canadian world leader in condition monitoring of rotating machinery. In collaboration with Carleton University, the company is now studying physical and chemical mechanisms of degradation in lubricants, potentially enabling developments of technologies for real-time condition monitoring using on-line sensors capable of predicting the remaining useful life of a lubricating oil. This research requires two fundamental scientific contributions. The first is a means to calibrate and characterize the signals that an on-line sensor will produce. This entails careful, controlled oil degradation experiments and accurate characterizations of the resulting by-products using well-established lab-based tools. The second requirement is accurate modeling of the oil degradation processes. Once the sensor is calibrated to accurately identify the types and concentrations of key degradation by-products, it can only predict the remaining useful life of lubricating oil if a model exists to extrapolate lubricating oil conditions based on the current state of the oil and the expected operating conditions of the machinery. Our combined theoretical, computational and experimental approach will lead to the development of a chemical kinetics model with this predictive capability.