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Measuring and Predicting the Thermal Conductivity of Molten Salts for Nuclear Energy ApplicationsGallagher, Ryan C. January 2022 (has links)
No description available.
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Advanced Control Strategies for Diesel Engine Thermal Management and Class 8 Truck PlatooningJohn Foster (9179864) 29 July 2020 (has links)
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<p>Commercial vehicles in the United States account for a significant fraction of
greenhouse gas emissions and NOx emissions. The objectives of this work are reduction in commercial vehicle NOx emissions through enhanced aftertreatment thermal
management via diesel engine variable valve actuation and the reduction of commercial vehicle fuel consumption/GHG emissions by enabling more effective class 8 truck
platooning.
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<p><br></p><p>First, a novel diesel engine aftertreatment thermal management strategy is proposed which utilizes a 2-stroke breathing variable value actuation strategy to increase
the mass flow rate of exhaust gas. Experiments showed that when allowed to operate with modestly higher engine-out emissions, temperatures comparable to baseline
could be achieved with a 1.75x exhaust mass flow rate, which could be beneficial for
heating the SCR catalyst in a cold-start scenario.
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<p><br></p><p>Second, a methodology is presented for characterizing aerodynamic drag coefficients of platooning trucks using experimental track-test data, which allowed for the
development of high-fidelity platoon simulations and thereby enabled rapid development of advanced platoon controllers. Single truck and platoon drag coefficients were
calculated for late model year Peterbilt 579’s based on experimental data collected
during J1321 fuel economy tests for a two-truck platoon at 65 mph with a 55’ truck
gap. Results show drag coefficients of 0.53, 0.50, and 0.45 for a single truck, a platoon
front truck, and a platoon rear truck, respectively.
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<p><br></p><p>Finally, a PID-based platoon controller is presented for maximizing fuel savings
and gap control on hilly terrain using a dynamically-variable platoon gap. The controller was vetted in simulation and demonstrated on a vehicle in closed-course functionality testing. Simulations show that the controller is capable of 6-9% rear truck
fuel savings on a heavily-graded route compared to a production-intent platoon controller, while increasing control over the truck gap to discourage other vehicles from
cutting in.
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