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An ultrafast multi-zone HCCI model with Autoignition, Global reaction and Interpolation (AGI) for achieving comparable accuracy to detailed chemical kinetics models
Combustion and Flame ( IF 4.4 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.combustflame.2020.08.016
Yingcong Zhou , Brian Gainey , Benjamin Lawler

Abstract Homogeneous Charge Compression Ignition (HCCI) is a promising advanced combustion technology with high thermal efficiencies and low exhaust emissions, and thus, is a potential solution for future transportation applications. Quasi-dimensional multi-zone models with detailed chemical kinetics have reasonable computational cost and high accuracy for HCCI studies. However, they require significant tuning of the heat and mass transfers models against experiments, and solving large stiff equations for multi-zone chemical kinetics is still very time-consuming. In this study, a novel model is proposed. It is as accurate as conventional multi-zone chemical kinetic models, has much faster computational speed that is independent to the mechanism size, and require less tuning and calibration. Three main parts are included in this model: a control-mass Lagrangian (CML) framework, the Thermal Stratification Analysis (TSA) method, and the Autoignition, Global reaction, and Interpolation (AGI) model. The CML model framework avoids implementing interzonal mass and heat transfer correlations. The thermal stratification is realized by the TSA method. With it, case-by-case tuning is no longer needed. The combustion model is constructed by Autoignition, Global reaction, and Interpolation (AGI). A database of ignition delay times and burn rates based on constant-volume simulations is pre-generated. Then, the individual zonal ignition delay time and burn rate are interpolated from the database. A phenomenon called Burn Rate Equality ensures that the burn rate in the database equals the real engine simulation. This interpolation-based combustion model can run significantly faster than solving chemical kinetics at each time step, especially compared with a large-size chemical kinetic model and a large number of zones. The AGI model generally has errors less than 0.7 CAD of CA50 compared to the conventional chemical kinetics simulation. The performance boost is 100x to more than 10,000x depending on the size of the chemical kinetics model.

中文翻译:

具有自燃、全局反应和插值 (AGI) 的超快多区 HCCI 模型,可实现与详细化学动力学模型相当的准确性

摘要 均质充量压缩点火(HCCI)是一种具有高热效率和低废气排放的有前途的先进燃烧技术,因此是未来交通应用的潜在解决方案。具有详细化学动力学的准维多区模型对于 HCCI 研究具有合理的计算成本和高精度。然而,它们需要根据实验对传热和传质模型进行显着调整,并且求解多区域化学动力学的大型刚性方程仍然非常耗时。在这项研究中,提出了一种新的模型。它与传统的多区化学动力学模型一样准确,具有更快的计算速度,独立于机构尺寸,并且需要更少的调整和校准。该模型包括三个主要部分:控制质量拉格朗日 (CML) 框架、热分层分析 (TSA) 方法以及自燃、全局反应和插值 (AGI) 模型。CML 模型框架避免实施区域间传质和传热关联。热分层是通过 TSA 方法实现的。有了它,就不再需要逐案调整了。燃烧模型由自燃、全局反应和插值 (AGI) 构建。预先生成基于恒定体积模拟的点火延迟时间和燃烧率数据库。然后,从数据库中插入单个区域点火延迟时间和燃烧率。一种称为燃烧率相等的现象可确保数据库中的燃烧率等于真实发动机模拟。这种基于插值的燃烧模型的运行速度明显快于在每个时间步求解化学动力学,尤其是与大型化学动力学模型和大量区域相比。与传统的化学动力学模拟相比,AGI 模型通常具有小于 0.7 CAD 的 CA50 误差。根据化学动力学模型的大小,性能提升是 100 倍到 10,000 倍以上。
更新日期:2020-11-01
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