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Job ID:
232333
Chemical Kinetics Modeling of Antioxidant Reactions in Lubricating Oils
Carleton University
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Date Posted
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Mar. 4, 2024
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Title
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Chemical Kinetics Modeling of Antioxidant Reactions in Lubricating Oils |
University
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Carleton University
Ottawa, ON, Canada
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Department
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Mechanical and Aerospace Engineering |
Application Deadline
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Open Until Filled |
Position Start Date
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Available Immediately |
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We are currently seeking to hire a Post-Doctoral Fellow for a term of up to 2 years, to work on a project to model the degradation of lubricants in bearing and engine lubrication environments. Our industrial partner has an interest in developing an in-line oil monitor capable of detecting the remaining useful life of a lubricating oil. This requires an accurate model of the relationship between oil operating conditions and detectable levels of antioxidant degradation by-products.
While it is known that the consumption of antioxidant additives is a key indicator of lubricant degradation, the quantitative relationship between operating conditions, antioxidant by-product concentrations and reaction rates is not fully understood. In this project, we will develop this understanding through a combination of theoretical calculations and experiments. The end goal is an “engineering” model of the relationship between oil operating history and by-product formation, which will be validated with the help of the experimental data.
The PDF will work on the development of the chemical kinetics modelling aspects of the project. Using a combination of the known literature, experimentally determined rate parameters and first-principles models, the PDF will test and refine databases of reaction-rate parameters and develop a model of anti-oxidant consumption for a variety of pressure and temperature conditions.
Interested candidates should have a PhD in Chemical Engineering, Chemistry, Mechanical Engineering, or a related discipline and experience with one or more of (1) chemical kinetics modeling, (2) experimental determination of reaction rate constants in condensed-phase (liquid) systems, (3) characterization methods such as HPLC, Raman Spectroscopy and GC-MS, and (4) computational fluid dynamics.
Please submit a CV and the names of three references to Professor Miller to apply.
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