Topological flow characteristics in a butterfly valve used for a spark ignition engine

2006 ◽  
Vol 9 (3) ◽  
pp. 291-299
Author(s):  
S. Kim ◽  
J. Kim ◽  
J. Choi ◽  
J. Sung
Author(s):  
Y Chung ◽  
H Kim ◽  
S Choi ◽  
C Bae

Misfiring in spark ignition engines should be avoided, otherwise unburned fuel and oxygen are brought into the catalyst, and subsequent combustion greatly increases the temperature, possibly resulting in immediate damage to the catalyst. As a new concept of misfire detection method, the signal fluctuation of a wide-range oxygen sensor has been introduced to monitor the fluctuation of the oxygen concentration at the exhaust manifold confluence point. The current research aims to develop a tool that is capable of predicting the variation in oxygen concentration at the exhaust manifold confluence point, and to investigate the flow characteristics of the misfired gas in the exhaust manifold under misfiring conditions in a cylinder. The oxygen concentration at the confluence point could be predicted by comparing the gas flowrate from the misfiring cylinder with the total exhaust gas flowrate. The gas flowrates from each of the cylinders were calculated using a one-dimensional engine cycle simulation including a gas dynamic model of the intake and exhaust systems. The variation in oxygen concentration was also determined experimentally using a fast-response hydrocarbon analyser. The trend of the oxygen concentration fluctuation calculated by the analytical model was compared with the experimental results. The analytical model could duplicate the measured trend of the fluctuation of oxygen concentration at the confluence point, which was characterized by twin peaks for one misfiring. The twin peaks are mainly caused by the mixing of the misfired gas with the burned gas from normally operating cylinders. The effects of engine load and speed on the characteristics of the variation in oxygen concentration were also investigated analytically and experimentally.


Author(s):  
A. Manivannan ◽  
R. Ramprabhu

In the development of internal combustion engines, there has been a continuous effort to reduce fuel consumption and exhaust emissions. Lean combustion is a preferred concept for reducing exhaust emissions for meeting stringent emission standards. However lean combustion is associated with increased cycle-by-cycle combustion variation due to combustion instability. The combustion stability under lean mixture conditions could be improved through enhancement of flow characteristics. Effect of engine variables on lean combustion of Spark Ignition (SI) engine is presented, including combustion chamber and inlet port configuration, and ignition system. Use of pre-chamber for lean combustion is one of the feasible method to achieve stable ignition and quick flame propagation. This paper highlights and compares status of various research works carried out in the area of lean burn engines. A critical analysis of reported experimental data is presented in order to substantiate use of lean combustion in SI engine.


1989 ◽  
Vol 55 (514) ◽  
pp. 1768-1774
Author(s):  
Shoji Namekawa ◽  
Hano Ryu ◽  
Toshio Iijima ◽  
Tsuyoshi Asanuma

Author(s):  
K Park ◽  
J Kim ◽  
S. K. Kauh ◽  
S. T. Ro ◽  
J Lee

An integration type air flow meter (IFM), composed of an ultrasonic sensor with an integration circuit, is tested for the air flowrate measurement in a pulsating flow condition. An accurate air flowrate measurement is essential to control the fuel injection rate of a fuel injection spark ignition (SI) engine. The difficulty comes from the pulsating and reverse flow characteristics of the induction pipe. The IFM integrates the instantaneous flowrate signal during the quarter cycle corresponding to an intake period of a four-stroke four-cylinder engine in order to identify and account for the flow direction. The IFM has significantly improved the accuracy of flowrate measurement compared with a hot wire type flow meter in certain conditions where a flow reversal exists. The sampling method is also easier when using the IFM compared with other techniques.


Author(s):  
santiago daniel martinez boggio ◽  
Pedro Lacava ◽  
Maycon Silva ◽  
SIMONA MEROLA ◽  
Adrian Irimescu ◽  
...  

Author(s):  
Claudio Santana ◽  
Jose Eduardo Mautone Barros ◽  
Juan Carlos Horta Gutiérrez ◽  
Helder Alves de Almeida Junior ◽  
jorgimara braga

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