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Particle Tracking Based Method for Evaluation of Cylinder‐to‐Cylinder Distribution of EGR/Blowby
Author(s) -
Shahabi Peyman Bashi,
Niazmand Hamid,
Modarres Razavi Mohammad Reza
Publication year - 2012
Publication title -
particle and particle systems characterization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 56
eISSN - 1521-4117
pISSN - 0934-0866
DOI - 10.1002/ppsc.201000005
Subject(s) - cylinder , mechanics , environmental science , combustion , homogeneous , particle (ecology) , exhaust gas recirculation , secondary air injection , particle number , automotive engineering , materials science , nuclear engineering , mechanical engineering , chemistry , internal combustion engine , physics , engineering , thermodynamics , volume (thermodynamics) , geology , oceanography , organic chemistry
Exhaust Gas Recirculation (EGR) method has already shown its benefits on controlling NO x emissions in internal combustion engines. An important issue associated with this method is homogeneous cylinder‐to‐cylinder distribution of the recirculating gas. Any maldistribution leads to power reduction and increase of other pollutants, which are strictly limited by recent emission laws. In addition to EGR, these limitations force the engine manufacturers to recycle blowby gases into the cylinders as homogeneous as possible. Since geometrical parameters and injection locations of EGR/blowby have substantial effects on homogenous cylinder‐to‐cylinder distribution of EGR/blowby gases, any developments in identifying the injecting locations with the least EGR/blowby maldistribution are of great practical importance. The existing experimental and numerical methods for evaluating the EGR/blowby maldistribution are based on the injection of air with different temperature or of different gas (mostly CO 2 ) from the main air stream. However, these methods are time consuming due to the large number of possible injection locations. It has been shown that the most uniform distribution cannot be obtained by just a single injection point; therefore, the study of simultaneous injection points becomes inevitable. Clearly, such a study is practically impossible with the present methods. In this research a new method based on particle tracking is proposed, which greatly reduces the time and effort to find the injection locations with the least maldistribution, especially when multiple injections are considered.