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Zero-dimensional single zone engine modeling of an SI engine fuelled with methane and methane-hydrogen blend using single and double Wiebe Function: A comparative study

机译:使用单和双Wiebe函数的以甲烷和甲烷-氢-氢混合物为燃料的SI发动机的零维单区发动机建模:比较研究

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Combustion modeling plays a key role in an engine simulation to predict in-cylinder pressure development and engine performance with a high level accuracy. Wiebe function, representing mass fraction burned (MFB) as a function of crank angle position, is widely used to predict the combustion process. The work presents a predictive zero dimensional (Zero-D) single zone engine modeling of an SI engine fuelled with methane and methane-hydrogen blend. In this work, the single and double forms of Wiebe function were used to estimate the combustion process in the modeling. For this purpose, the single and double-Wiebe functions' parameters were calculated using the least squares method by fitting to the MFB curves calculated from experimental pressure data. These Wiebe functions were, then, introduced to the Zero-D single zone engine model developed for the methane and methane-hydrogen blend fueled SI engine to obtain in-cylinder pressure development and gross indicated mean effective pressure (GIMEP) for the engine performance prediction. The results show that the model with double-Wiebe Function fit better than that with single-Wiebe function. In addition, the fitted double-Wiebe function has a significant improvement in the GIMEP prediction for methane-hydrogen blend fueled SI engine modeling rather than the methane-fueled modeling. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:燃烧建模在发动机仿真中以高水平的精度预测缸内压力发展和发动机性能起着关键作用。 Wiebe函数代表曲柄角位置的函数表示燃烧的质量分数(MFB),被广泛用于预测燃烧过程。这项工作提出了一种以甲烷和甲烷-氢混合物为燃料的SI发动机的零维(Zero-D)单区发动机预测模型。在这项工作中,使用Wiebe函数的单一形式和双重形式来估计模型中的燃烧过程。为此,通过拟合从实验压力数据计算出的MFB曲线,使用最小二乘法来计算单维贝函数和双维贝函数的参数。然后,将这些Wiebe函数引入到为甲烷和甲烷-氢-氢混合燃料的SI发动机开发的零维单区发动机模型中,以获得缸内压力发展和用于指示发动机性能的总指示平均有效压力(GIMEP) 。结果表明,具有双Wiebe函数的模型比具有单Wiebe函数的模型更适合。另外,拟合的双维伯函数在甲烷-氢气混合燃料SI发动机模型的GIMEP预测中比在甲烷燃料模型中有显着改善。 (C)2017氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

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