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Sectional soot model coupled to tabulated chemistry for Diesel RANS simulations

机译：用于柴油RANS模拟的分段烟灰模型与列表化学耦合

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摘要

In future Euro norms, the soot volume fraction and the soot number density will be regulated. Car manufacturers need therefore accurate soot models for piston engine emissions prediction in order to develop future engine concepts. This paper addresses this question by coupling a sectional soot model with a tabulated combustion model for RANTS simulations of Diesel engines. The sectional soot model, based on the work of Netzell et al. (2007), is implemented in the IFP-C3D RAMS CFD code. At each time and location, transport equations are solved for several soot sections, including source terms for collisional and chemical processes. The soot model is coupled to a tabulated combustion model derived from the Engine Approximated Diffusion Flame one (EADF) (Michel and Colin, 2013). It allows to represent the minor species required by the soot model with a much lower computational cost than a kinetic solver. In order to evaluate the soot model coupled to the resulting combustion model called Variable Pressure Homogeneous Tabulated Chemistry (VPTHC), it is compared to the same soot model directly coupled to a complex chemistry solver. As this comparison can hardly be performed on a real Diesel engine case due to the very high CPU time involved by the chemical solver, it is performed on a variable volume and fuel/air ratio case which retains the essential features of a Diesel engine. Results show that the proposed coupling recovers with reasonable accuracy the evolution of the soot volume fraction and distribution. Finally, an experimental database of Diesel operating points is simulated. The database includes points with a commercial Diesel fuel and the computed surrogate (30% 1-Methylnaphthalene and 70% Decane in liquid volume) to validate the models against the experiments. Soot yields predictions from the model show an improvement against the current standards and reach industrial target of accuracy for most of the database while the model also provides a good estimation of the soot particles distributions in size. (C) 2015 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译：在未来的欧洲规范中，烟灰体积分数和烟灰数量密度将受到监管。因此，汽车制造商需要准确的烟灰模型来预测活塞发动机的排放量，以便发展未来的发动机概念。本文通过将截面烟灰模型与列表化燃烧模型耦合以解决柴油发动机的RANTS模拟问题，解决了这一问题。基于Netzell等人的工作的分段烟灰模型。 （2007），是在IFP-C3D RAMS CFD代码中实现的。在每个时间和位置，求解几个烟灰段的输运方程，包括碰撞和化学过程的源项。烟灰模型与从发动机近似扩散火焰一（EADF）（Michel and Colin，2013）导出的列表燃烧模型耦合。它允许以比动态求解器低得多的计算成本来表示烟灰模型所需的次要物种。为了评估与生成的燃烧模型（称为可变压力均质列表化学（VPTHC））耦合的烟灰模型，将其与直接耦合到复杂化学求解器的相同烟灰模型进行比较。由于由于化学反应器需要非常长的CPU时间，因此很难在真正的柴油机机箱上执行此比较，因此，该比较在保留柴油机基本功能的可变体积和燃油/空气比的机箱上进行。结果表明，所提出的耦合以合理的精度恢复了烟灰体积分数和分布的演变。最后，模拟了柴油运行点的实验数据库。该数据库包括带有商用柴油燃料和计算出的替代物（液体体积中30％的1-甲基萘和70％癸烷）的点，以根据实验验证模型。该模型的烟灰产量预测显示出相对于当前标准的改进，并为大多数数据库达到了精度的工业目标，而该模型还提供了烟尘颗粒尺寸分布的良好估计。 （C）2015年燃烧研究所。由Elsevier Inc.出版。保留所有权利。

著录项

  • 来源
    《Combustion and Flame》 |2015年第8期|3081-3099|共19页
  • 作者

    Aubagnac-Karkar Damien; Michel Jean-Baptiste; Colin Olivier; Vervisch-Kljakic Pauline E.; Darabiha Nasser;

  • 作者单位

    IFP Energies Nouvelles, F-92852 Rueil Malmaison, France|CNRS, UPR 288, Lab Energt Mol & Macroscop Combus EM2C, F-92290 Chatenay Malabry, France;

    IFP Energies Nouvelles, F-92852 Rueil Malmaison, France;

    IFP Energies Nouvelles, F-92852 Rueil Malmaison, France;

    IFP Energies Nouvelles, F-92852 Rueil Malmaison, France|CNRS, UPR 288, Lab Energt Mol & Macroscop Combus EM2C, F-92290 Chatenay Malabry, France;

    IFP Energies Nouvelles, F-92852 Rueil Malmaison, France|CNRS, UPR 288, Lab Energt Mol & Macroscop Combus EM2C, F-92290 Chatenay Malabry, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Soot modeling; Tabulated chemistry; Diesel;

    机译：烟尘模型;制表化学;柴油;

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