用于点火发动机燃烧分析的两区零维模型的开发与验证

Sebastián Heredia Quintana, A. Morales-Rojas
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引用次数: 0

摘要

城市中汽车数量的增长和传统碳氢化合物储量的即将枯竭意味着内燃机领域的研究重点是制定战略和开发技术,以减少燃料消耗和污染物排放。使用数值模型进行模拟是研究人员和设计人员的重要工具,因为它们可以在不产生实验研究费用的情况下接近发动机在特定工作条件下的性能,并且可以分析燃烧过程中发生的多种现象,这些现象不易通过实验测量来评估。在本研究中,建立了一个将燃烧室分为燃烧气体和未燃烧气体的零维两区模型,旨在研究使用气态可再生燃料(沼气)的点火发动机的燃烧过程,使用Wiebe定律和化学平衡来模拟燃烧过程,并使用Woschni的半经验相关来模拟传热。该模型的标定信息来自安蒂奥基亚大学燃烧和热机实验室的高压缩比(15.5:1)发动机。将燃烧和发动机性能的主要变量(热释放率、最大压力、指示功等)以及CO和NO的排放量与模型的结果进行了比较。模型预测的实验值误差较小,除指示功外,主要变量误差小于10%,误差为27%,产生的排放误差在18% ~ 49%之间,随着电机负载程度的增加,误差最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Desarrollo y validación de un modelo cero dimensional de dos zonas para el análisis de la combustión en motores de encendido provocado
The growth of the automotive fleet in cities and the imminent depletion of traditional hydrocarbon deposits mean that research in the field of internal combustion engines focuses on generating strategies and developing technologies that allow a reduction in fuel consumption and pollutants emissions. The use of numerical models for simulation is an important tool for both researchers and designers as they allow to approach the performance of the engines under certain operating conditions without incurring in the expense involved in experimental studies and allow analyzing multiple phenomena that occur during combustion that are not easily evaluable from experimental measurements. In this study, a zero-dimensional two zones model which separates the combustion chamber into burned and unburned gases was developed seeking to study the combustion process in ignition engines using gaseous renewable fuel (biogas), using the Law of Wiebe and the chemical equilibrium to simulate the combustion process and the Woschni's semi-empirical correlation for heat transfer. The model is calibrated with information obtained from a high compression ratio (15.5: 1) engine of the combustion and thermal machines laboratory of the University of Antioquia. The main variables of combustion and engine performance (heat release rate, maximum pressure, indicated work, among others) were compared with the results of the model, as well as the emissions generated from CO and NO. There are low errors between the experimental values predicted by the model, with errors less than 10% for the main variables, except for the indicated work, with errors of 27%, and errors between 18% and 49% for the generated emissions, obtaining the highest errors as the degree of load of the motor increases.
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