A5077336700- Advanced Combustion Engine Technologies
- Vehicle emissions and performance
- Biodiesel Production and Applications
- Combustion and flame dynamics
- Neuroscience and Neural Engineering
- Catalytic Processes in Materials Science
- Neural dynamics and brain function
- Electric and Hybrid Vehicle Technologies
- Engine and Fuel Emissions
- Photoreceptor and optogenetics research
- Electrochemical Analysis and Applications
- Physics and Engineering Research Articles
- Electric Vehicles and Infrastructure
- EEG and Brain-Computer Interfaces
- Neuropeptides and Animal Physiology
- Advanced Aircraft Design and Technologies
- Rocket and propulsion systems research
- Tactile and Sensory Interactions
- Atmospheric and Environmental Gas Dynamics
- Neuroscience of respiration and sleep
- Hydraulic flow and structures
- Atmospheric chemistry and aerosols
- Neuroendocrine regulation and behavior
Ford (Germany)
2002-2024
Ford Motor Company (United States)
2011-2015
Advanced Engineering (Czechia)
2008
Netherlands Institute for Neuroscience
1997-1998
Oxymethylene ethers (OMEx), are a promising renewable replacement fuel for compression ignition engines. OMEx largely compatible with current engines, can help to significantly reduce engine-out and tail-pipe emissions while simultaneously reducing the transport sector's net carbon by gradually replacing fossil diesel fuel. This paper aims compile critically review recent research progress on OMEx, following entire value chain from production engine application. First, pathways compiled...
Dimethyl ether (DME) is an alternative to diesel fuel for use in compression-ignition engines with modified systems and offers potential advantages of efficiency improvements emission redu ...
Precise combustion control and a wider operating load range are the two major challenges in application of advanced modes, as process is chemical kinetically driven thus sensitive to fuel composition. Although diesel fuels complex multicomponent mixtures, most previous research has been carried out using simple single- or two-component surrogate models. This assumption leads inaccuracies when modeling systems due differences between model real compositions. The present study proposes models...
Today numerical models are a major part of the diesel engine development. They applied during several stages development process to perform extensive parameter studies and investigate flow combustion phenomena in detail. The divided by complexity computational costs since one has decide what best choice for task is. 0D suitable problems with large spaces multiple operating points, e.g. map simulation sweeps. Therefore, it is necessary incorporate physical improve predictive capability these...
A passenger car high-speed direct-injection diesel engine operating at low-load conditions in the modulated kinetic combustion mode was optimized using a multi-dimensional computational fluid dynamics code and multi-objective genetic algorithm. Spray targeting, piston bowl geometry, swirl ratio were optimized. Since is mainly kinetics controlled, detailed chemistry considered through recently developed adaptive multi-grid (AMC) model. The numerical results from AMC model, including pressure...
Computational optimization of a high-speed diesel engine, combined with engine size-scaling, is presented. A multi-objective genetic algorithm was employed to simultaneously optimize fuel consumption and engine-out emissions the down-scaled version previously optimized baseline engine. By separating design parameters into hardware (e.g., piston bowl geometry) controllable injection pressure timings), multiple operating conditions were simultaneously. new variable introduced evaluate...