Reference number : GC-2017-Q4-01265, amendment number : , agreement type : G, recipient legal name : Miller, Ronald Earle (Carleton University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : 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., program purpose french : 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., agreement title english : Condition monitoring of lubricating oils in diesel engines, agreement title french : Condition monitoring of lubricating oils in diesel engines, agreement number : CRDPJ, agreement value : 197334.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2021-2022)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2021-2022)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada