Date of Award
8-15-2019
Publication Type
Master Thesis
Degree Name
M.A.Sc.
Department
Mechanical, Automotive, and Materials Engineering
Keywords
Engine Cooling, Experimental Flow Bench, System Simulation, Water Jacket
Supervisor
Balachandar, R.
Supervisor
Barron, R.
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
The engine cooling system in a vehicle ensures that the engine runs at its most efficient temperature under a variety of operating conditions. The system includes heat exchangers, a thermostat, pump, plumbing lines and a cooling water jacket. Each branch of the system and its different components need to receive adequate coolant flow. A system simulation (1D) model of the coolant loop is generated with components of the system individually characterized using geometry and/or performance data. Accurately modelling and capturing the flow behaviour of the coolant through the entire system, including the complex water jacket, poses a particular challenge. This thesis explores the use of experimental flow benches to support the research into converting a physical engine cooling system into a robust 1D system model. GT-SUITE software is used as the system simulation modelling platform, and its built-in application GEM3D is used to convert the 3D CAD geometry. A detailed investigation is performed by carefully splitting the plumbing and water jacket into multiple flow components. Non-dimensional pressure loss and Reynolds number are calculated based on pressure drop and flow rate data, for a wide range of temperatures including extreme cold conditions. Outcomes of this thesis include an in-depth and improved modelling process, well validated component and system level models, and an overall reduction in cost and time to achieve accurate results.
Recommended Citation
Mistruzzi, Elle, "Investigation of Engine Coolant Loop Flow Modelling from a System Simulation Perspective" (2019). Electronic Theses and Dissertations. 7822.
https://scholar.uwindsor.ca/etd/7822