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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Diesel thermal management optimization for effective efficiency improvement

Douxchamps, Pierre-Alexis 07 June 2010 (has links)
This work focuses on the cooling of diesel engines. Facing heavy constraints such<p>as emissions control or fossil energy management, political leaders are forcing car<p>manufacturers to drastically reduce the fuel consumption of passenger vehicles. For<p>instance, in Europe, this fuel consumption has to reach 120 g CO2 km by 2012, namely 25 % reduction from today's level.<p>Such objectives can only be reached with an optimization of all engines components<p>from injection strategies to power steering. A classical energy balance of an internal<p>combustion engine shows four main losses: enthalpy losses at the exhaust, heat<p>transfer to the cylinder walls, friction losses and external devices driving. An<p>optimized cooling will improve three of them: the heat transfer losses by increasing<p>the cylinder walls temperature, the friction losses by reducing the oil viscosity and<p>the coolant pump power consumption.<p>A model is first built to simulate the engine thermal behavior from the combustion<p>itself to the temperatures of the different engine components. It is composed by two<p>models with different time scales. First, a thermodynamic model computes the in cylinder<p>pressure and temperature as well as the heat flows for each crank angle.<p>These heat flows are the main input parameters for the second model: the nodal<p>one. This last model computes all the engine components temperatures according<p>to the nodal model theory. The cylinder walls temperature is then given back to<p>the thermodynamic model to compute the heat flows.<p>The models are then validated through test bench measurements giving excellent<p>results for both Mean Effective Pressure and fluids (coolant and oil) temperatures.<p>The used engine is a 1.9l displacement turbocharged piston engine equipped with<p>an in-cylinder pressure sensor for the thermodynamic model validation and thermocouples<p>for the nodal model validation.<p>The model is then used to optimize the coolant mass flow rate as a function of<p>the engine temperature level. Simulations have been done for both stationary<p>conditions with effciency improvement up to 7% for specific points (low load, high<p>engine speed) and transient ones with a heating time improvement of about 2000s.<p>This gains are then validated on the test bench showing again good agreement. / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished

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