Estimation of the shape factor (m) in Wiebe function at different operating conditions for a SI engine

Hüseyin Emre DOĞAN, Abdurrahman DEMİRCİ, Akın KUTLAR
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Abstract

The burning process is one of the most important periods, which affects thermal efficiency and exhaust gas emissions, in internal combustion engines. The combustion process in internal combustion engines is modeled with one-dimensional or multi-dimensional software because it is cheaper, faster, and more practical than experiment. One of these methods, which is used to model the combustion period, is the Wiebe function. The Wiebe equation is an approach used in calculating the mass fraction burned and the heat release rate. The selection of Wiebe parameters is one of the most important factors affecting the accuracy of the mass fraction burned. In this study, the measured cylinder pressure of a spark ignition engine was directly used to calculate the heat released rate. The experiments were conducted at different brake mean effective pressures, engine speeds and relative air/fuel ratios, which were called independent variables. The shape factor (m) was determined by fitting the Wiebe equation to the heat release rate curves, which were extracted from the experimental results. The relationship between determined shape factor and independent variables was analyzed with a statistical approach. Eventually, a linear regression model, which explains 80% of the change in the shape factor, was created.
发动机不同工况下Wiebe函数形状因子m的估计
燃烧过程是影响内燃机热效率和废气排放的重要阶段之一。内燃机燃烧过程建模采用一维或多维软件,因为它比实验更便宜、更快、更实用。其中一种用于模拟燃烧期的方法是Wiebe函数。韦博方程是一种用于计算燃烧质量分数和热释放率的方法。韦贝参数的选择是影响燃烧质量分数准确性的重要因素之一。在本研究中,直接使用实测的火花点火发动机气缸压力来计算放热率。实验是在不同的制动平均有效压力,发动机转速和相对空气/燃料比下进行的,这些被称为自变量。通过对实验结果提取的放热速率曲线进行Wiebe方程拟合,确定形状因子m。用统计方法分析了确定形状因子与自变量之间的关系。最后,我们建立了一个线性回归模型,它可以解释形状因子80%的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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