P. Bashi Shahabi, H. Niazmand, M.r Modarres Razavi,
Volume 1, Issue 1 (IJAE 2011)
Abstract
Increase of environmental pollution and restricted emission legislations have forced companies to produce automobiles with lower air pollutants. In this respect, discharge of blowby gases into the environment has been prohibited and their recirculation into the combustion chamber is proposed as an alternative solution. In addition, using EGR technique to control and reduce nitrogen oxides in internal combustion engines has been quite effective. An important common feature of these two methods is the fact that improper EGR/blowby distribution leads to the increase in other pollutants and the significant engine power reduction. Therefore, the study of important factors in maldistribution of the injected gases is of great practical importance. Besides the injection position that has significant role on distribution of injected gases, it seems that other parameters such as engine speed, injection velocity and angle may affect the distribution of injected gases. In this numerical study, a new technique is used to determine the effect of these parameters on distribution of injected EGR or blowby gases into the EF7 intake manifold. Numerical calculations are performed for three injection velocities, five injection angles and three different engine speeds. It was found that recirculated gases distribution is slightly influenced by the injection angle and injection velocity, while the engine speed is the most influential factor.
M. Shahab, M. Moavenian,
Volume 2, Issue 2 (4-2012)
Abstract
Vehicle driveline system and its working accuracy play an important role in the performance of car. The purpose of
this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size
of defects in the vehicle power transmission system. This is based on the patterns of the residual signal, obtained from
a simulated model of the system. Neuro-fuzzy networks have been used in diagnosis of defects because of its specific
advantages and capabilities in pattern recognition. Simulation results demonstrate that the resulting fault detection
system is able to properly locate the fault types under all test conditions, and is sensitive also to fault size. Test and
simulation results using MATLAB software is given at the end.
