A. Mohebbi, S. Jafarmadar, J. Pashae,
Volume 2, Issue 2 (4-2012)
Abstract
Nitrogen oxides (NOx) contribute to a wide range of environmental effects including the formation of acid rain and
destroy ozone layer. In-cylinder high temperature flame and high oxygen concentration are the parameters which affect
the NOx emissions. The EGR system is a very effective way for reducing NOx emission from a diesel engine (via
reduction of these parameters), particularly at the high load of engine operation condition. In this study, the influence
of EGR on diesel engine combustion, NOx/PM emissions, brake specific fuel consumption (BSFC), engine thermal
efficiency, cylinder pressure and heat release rate (HRR) are analyzed and presented. The experiments have been
conducted on a turbocharged DI diesel engine under full load condition at two different injection timings in order to
distinguish and quantify some effects of Hot and Cooled EGR with various rates on the engine parameters.
Experimental results showed that increase of EGR rate has a negative effect on air-fuel ratio. For a premixed
combustion at constant boost pressure, ignition delay is increased leading to retardation of all combustion process, a
low HRR peak and reduce of in-cylinder peak temperature. Using of Hot EGR reduces NOX emissions whereas PM
emissions are increased. The advance of injection timing resulted in the reduction PM while both NOX emissions and
fuel consumption were increased. The use of cooled EGR was more effective compared to the hot EGR. As a result,
the EGR temperature has no significant impact on NOx emissions. With increasing EGR rate, unequal EGR
distribution was increased in inlet port of cylinders while the reducing EGR temperature (cooled EGR) improved its
distribution among the engine cylinders and decreased the EGR cylinder-to-cylinder variations.
Farhad Pashaei, Seyed Mahdi Abtahi,
Volume 11, Issue 4 (12-2021)
Abstract
In this paper, firstly chaotic behavior of the lateral dynamics of vehicle is investigated by the use of numerical tools including Lyapunov exponent and bifurcation diagrams. To this end rout to chaos along with period doubling and quasi-periodic responses are demonstrated in terms of bifurcation diagrams. After chaos analysis, a novel controller commensurate with the chaotic characteristics of the system, in conformity with Poincaré map is represented to suppress the chaotic behavior of lateral movement. The Poincaré map of the system is derived by means of a neuro fuzzy network. A robust Fuzzy system on the basis of nonlinear Ott-Grebogi-Yorke (OGY) method forms the control system. Closed-loop results of the system shows effectiveness of the chaos controller in extreme conditions.
