外文翻译---基于修正的Kantor模型的发动机循环变动建模
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1、附录 1 Modeling of Engine Cyclic Variation by the Modified Kantor Model Kantor model showing that prior-cycle effects resulting from exhaust gas residuals are a significant factor in cyclic variability of combustion in IC engines is due to a number of model assumptions that misrepresent the thermodyna
2、mic process experienced by the mixture of fresh combustible gas plus exhaust residual in important ways. In particular we show that exhaust blowdown process and variability exhaust residual gas mass fraction neglected in the Kantor model significantly reduce cyclic variability. However, unburned fue
3、l not considered in the Kantor model apparently aggravates cyclic variability. These three factors effects of all major engine operating parameters cyclic variation reluctantly shows up. Moreover, even using the Kantor model, cyclic variability is predicted only for rather extreme, somewhat contrive
4、d choices of the model parameters. Kantor (1984) suggested that cyclic variability can result from a prior-cycle feedback process linked to the temperature of the exhaust residual remaining in the cylinder after the exhaust stroke. The proposed mechanism of feedback is as follows. A slower than aver
5、age burning process on one cycle will produce a higher exhaust residual temperature since more heat release occurs after part of the expansion process. This leads to a higher than average intake charge temperature on the following cycle when this exhaust residual is mixed with fresh fuel/air mixture
6、. This in turn leads to a higher than average exhaust temperature on the following cycle , and so on. Kantor showed that mode-hopping between low and high residual temperatures, or even chaotic variation, can be predicted by the simple thermodynamic and combustion model of prior-cycle effects descri
7、ed below. Kantors work has been extended by Daily(1998) and by Dawetc(1993).This work suggests that cycle variation is more likely with leaner mixtures because the burning times, e.g. higher activation energy, have similar effects. Such models of cyclic variability could in principle be quite useful
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